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README.md ADDED
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+ ---
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+ library_name: vllm
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+ language:
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+ - en
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+ - fr
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+ - es
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+ - de
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+ - it
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+ - pt
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+ - nl
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+ - zh
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+ - ja
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+ - ko
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+ - ar
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+ license: apache-2.0
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+ inference: false
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+ base_model:
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+ - mistralai/Ministral-3-3B-Reasoning-2512
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+ extra_gated_description: >-
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+ If you want to learn more about how we process your personal data, please read
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+ our <a href="https://mistral.ai/terms/">Privacy Policy</a>.
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+ tags:
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+ - mistral-common
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+ - unsloth
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+ ---
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+ <div>
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+ <p style="margin-top: 0;margin-bottom: 0;">
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+ <em><a href="https://docs.unsloth.ai/basics/unsloth-dynamic-v2.0-gguf">Unsloth Dynamic 2.0</a> achieves superior accuracy & outperforms other leading quants.</em>
29
+ </p>
30
+ <div style="display: flex; gap: 5px; align-items: center; ">
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+ <a href="https://github.com/unslothai/unsloth/">
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+ <img src="https://github.com/unslothai/unsloth/raw/main/images/unsloth%20new%20logo.png" width="133">
33
+ </a>
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+ <a href="https://discord.gg/unsloth">
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+ <img src="https://github.com/unslothai/unsloth/raw/main/images/Discord%20button.png" width="173">
36
+ </a>
37
+ <a href="https://docs.unsloth.ai/">
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+ <img src="https://raw.githubusercontent.com/unslothai/unsloth/refs/heads/main/images/documentation%20green%20button.png" width="143">
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+ </a>
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+ </div>
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+ </div>
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+
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+
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+ # Ministral 3 3B Reasoning 2512
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+ The smallest model in the Ministral 3 family, **Ministral 3 3B** is a powerful, efficient tiny language model with vision capabilities.
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+
47
+ This model is the reasoning post-trained version, trained for reasoning tasks, making it ideal for math, coding and stem related use cases.
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+
49
+ The Ministral 3 family is designed for edge deployment, capable of running on a wide range of hardware. Ministral 3 3B can even be deployed locally, fitting in 16GB of VRAM in BF16, and less than 8GB of RAM/VRAM when quantized.
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+
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+ ## Key Features
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+ Ministral 3 3B consists of two main architectural components:
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+ - **3.4B Language Model**
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+ - **0.4B Vision Encoder**
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+
56
+ The Ministral 3 3B Reasoning model offers the following capabilities:
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+ - **Vision**: Enables the model to analyze images and provide insights based on visual content, in addition to text.
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+ - **Multilingual**: Supports dozens of languages, including English, French, Spanish, German, Italian, Portuguese, Dutch, Chinese, Japanese, Korean, Arabic.
59
+ - **System Prompt**: Maintains strong adherence and support for system prompts.
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+ - **Agentic**: Offers best-in-class agentic capabilities with native function calling and JSON outputting.
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+ - **Reasoning**: Excels at complex, multi-step reasoning and dynamic problem-solving.
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+ - **Edge-Optimized**: Delivers best-in-class performance at a small scale, deployable anywhere.
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+ - **Apache 2.0 License**: Open-source license allowing usage and modification for both commercial and non-commercial purposes.
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+ - **Large Context Window**: Supports a 256k context window.
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+
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+ ### Use Cases
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+ Ideal for lightweight, real-time applications on edge or low-resource devices, such as:
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+ - Image captioning
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+ - Text classification
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+ - Real-time efficient translation
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+ - Data extraction
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+ - Short content generation
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+ - Fine-tuning and specialization
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+ - And more...
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+
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+ Bringing advanced AI capabilities to edge and distributed environments for embedded systems.
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+
78
+ ### Recommended Settings
79
+
80
+ We recommend deploying with the following best practices:
81
+ - System Prompt: Use our provided [system prompt](https://huggingface.co/mistralai/Ministral-3-3B-Reasoning-2512/blob/main/SYSTEM_PROMPT.txt), and append it to your custom system prompt to define a clear environment and use case, including guidance on how to effectively leverage tools in agentic systems.
82
+ - Multi-turn Traces: We highly recommend keeping the reasoning traces in context.
83
+ - Sampling Parameters: Use a **temperature of 0.7** for most environments ; Different temperatures may be explored for different use cases - developers are encouraged to experiment with alternative settings.
84
+ - Tools: Keep the set of tools well-defined and limit their number to the minimum required for the use case - Avoiding overloading the model with an excessive number of tools.
85
+ - Vision: When deploying with vision capabilities, we recommend maintaining an aspect ratio close to 1:1 (width-to-height) for images. Avoiding the use of overly thin or wide images - crop them as needed to ensure optimal performance.
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+
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+ ## Ministral 3 Family
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+
89
+ | Model Name | Type | Precision | Link |
90
+ |--------------------------------|--------------------|-----------|------------------------------------------------------------------------------------------|
91
+ | Ministral 3 3B Base 2512 | Base pre-trained | BF16 | [Hugging Face](https://huggingface.co/mistralai/Ministral-3-3B-Base-2512) |
92
+ | Ministral 3 3B Instruct 2512 | Instruct post-trained | FP8 | [Hugging Face](https://huggingface.co/mistralai/Ministral-3-3B-Instruct-2512) |
93
+ | **Ministral 3 3B Reasoning 2512** | **Reasoning capable** | **BF16** | [Hugging Face](https://huggingface.co/mistralai/Ministral-3-3B-Reasoning-2512) |
94
+ | Ministral 3 8B Base 2512 | Base pre-trained | BF16 | [Hugging Face](https://huggingface.co/mistralai/Ministral-3-8B-Base-2512) |
95
+ | Ministral 3 8B Instruct 2512 | Instruct post-trained | FP8 | [Hugging Face](https://huggingface.co/mistralai/Ministral-3-8B-Instruct-2512) |
96
+ | Ministral 3 8B Reasoning 2512 | Reasoning capable | BF16 | [Hugging Face](https://huggingface.co/mistralai/Ministral-3-8B-Reasoning-2512) |
97
+ | Ministral 3 14B Base 2512 | Base pre-trained | BF16 | [Hugging Face](https://huggingface.co/mistralai/Ministral-3-14B-Base-2512) |
98
+ | Ministral 3 14B Instruct 2512 | Instruct post-trained | FP8 | [Hugging Face](https://huggingface.co/mistralai/Ministral-3-14B-Instruct-2512) |
99
+ | Ministral 3 14B Reasoning 2512 | Reasoning capable | BF16 | [Hugging Face](https://huggingface.co/mistralai/Ministral-3-14B-Reasoning-2512) |
100
+
101
+ Other formats available [here](https://huggingface.co/collections/mistralai/ministral-3-additional-checkpoints).
102
+
103
+ ## Benchmark Results
104
+
105
+ We compare Ministral 3 to similar sized models.
106
+
107
+ ### Reasoning
108
+
109
+ | Model | AIME25 | AIME24 | GPQA Diamond | LiveCodeBench |
110
+ |---------------------------|-------------|-------------|--------------|---------------|
111
+ | **Ministral 3 14B** | <u>0.850</u>| <u>0.898</u>| <u>0.712</u> | <u>0.646</u> |
112
+ | Qwen3-14B (Thinking) | 0.737 | 0.837 | 0.663 | 0.593 |
113
+ | | | | | |
114
+ | **Ministral 3 8B** | 0.787 | <u>0.860</u>| 0.668 | <u>0.616</u> |
115
+ | Qwen3-VL-8B-Thinking | <u>0.798</u>| <u>0.860</u>| <u>0.671</u> | 0.580 |
116
+ | | | | | |
117
+ | **Ministral 3 3B** | <u>0.721</u>| <u>0.775</u>| 0.534 | <u>0.548</u> |
118
+ | Qwen3-VL-4B-Thinking | 0.697 | 0.729 | <u>0.601</u> | 0.513 |
119
+
120
+ ### Instruct
121
+
122
+ | Model | Arena Hard | WildBench | MATH Maj@1 | MM MTBench |
123
+ |---------------------------|-------------|------------|-------------|------------------|
124
+ | **Ministral 3 14B** | <u>0.551</u>| <u>68.5</u>| <u>0.904</u>| <u>8.49</u> |
125
+ | Qwen3 14B (Non-Thinking) | 0.427 | 65.1 | 0.870 | NOT MULTIMODAL |
126
+ | Gemma3-12B-Instruct | 0.436 | 63.2 | 0.854 | 6.70 |
127
+ | | | | | |
128
+ | **Ministral 3 8B** | 0.509 | <u>66.8</u>| 0.876 | <u>8.08</u> |
129
+ | Qwen3-VL-8B-Instruct | <u>0.528</u>| 66.3 | <u>0.946</u>| 8.00 |
130
+ | | | | | |
131
+ | **Ministral 3 3B** | 0.305 | <u>56.8</u>| 0.830 | 7.83 |
132
+ | Qwen3-VL-4B-Instruct | <u>0.438</u>| <u>56.8</u>| <u>0.900</u>| <u>8.01</u> |
133
+ | Qwen3-VL-2B-Instruct | 0.163 | 42.2 | 0.786 | 6.36 |
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+ | Gemma3-4B-Instruct | 0.318 | 49.1 | 0.759 | 5.23 |
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+
136
+ ### Base
137
+
138
+ | Model | Multilingual MMLU | MATH CoT 2-Shot | AGIEval 5-shot | MMLU Redux 5-shot | MMLU 5-shot | TriviaQA 5-shot |
139
+ |---------------------|-------------------|-----------------|----------------|-------------------|-------------|-----------------|
140
+ | **Ministral 3 14B** | 0.742 | <u>0.676</u> | 0.648 | 0.820 | 0.794 | 0.749 |
141
+ | Qwen3 14B Base | <u>0.754</u> | 0.620 | <u>0.661</u> | <u>0.837</u> | <u>0.804</u>| 0.703 |
142
+ | Gemma 3 12B Base | 0.690 | 0.487 | 0.587 | 0.766 | 0.745 | <u>0.788</u> |
143
+ | | | | | | | |
144
+ | **Ministral 3 8B** | <u>0.706</u> | <u>0.626</u> | 0.591 | 0.793 | <u>0.761</u>| <u>0.681</u> |
145
+ | Qwen 3 8B Base | 0.700 | 0.576 | <u>0.596</u> | <u>0.794</u> | 0.760 | 0.639 |
146
+ | | | | | | | |
147
+ | **Ministral 3 3B** | 0.652 | <u>0.601</u> | 0.511 | 0.735 | 0.707 | 0.592 |
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+ | Qwen 3 4B Base | <u>0.677</u> | 0.405 | <u>0.570</u> | <u>0.759</u> | <u>0.713</u>| 0.530 |
149
+ | Gemma 3 4B Base | 0.516 | 0.294 | 0.430 | 0.626 | 0.589 | <u>0.640</u> |
150
+
151
+ ## Usage
152
+
153
+ The model can be used with the following frameworks;
154
+ - [`vllm`](https://github.com/vllm-project/vllm): See [here](#vllm)
155
+ - [`transformers`](https://github.com/huggingface/transformers): See [here](#transformers)
156
+
157
+ ### vLLM
158
+
159
+ We recommend using this model with [vLLM](https://github.com/vllm-project/vllm).
160
+
161
+ #### Installation
162
+
163
+ Make sure to install **vllm >= 0.12.0**:
164
+
165
+ ```
166
+ pip install vllm --upgrade
167
+ ```
168
+
169
+ Doing so should automatically install [`mistral_common >= 1.8.6`](https://github.com/mistralai/mistral-common/releases/tag/v1.8.6).
170
+
171
+ To check:
172
+ ```
173
+ python -c "import mistral_common; print(mistral_common.__version__)"
174
+ ```
175
+
176
+ You can also make use of a ready-to-go [docker image](https://github.com/vllm-project/vllm/blob/main/docker/Dockerfile) or on the [docker hub](https://hub.docker.com/layers/vllm/vllm-openai/latest).
177
+
178
+ #### Serve
179
+
180
+ Due to their size, `Ministral-3-3B-Reasoning-2512` and `Ministral-3-8B-Reasoning-2512` can run on a single 1xH200 GPU.
181
+
182
+ A simple launch command is:
183
+
184
+ ```bash
185
+
186
+ vllm serve mistralai/Ministral-3-3B-Reasoning-2512 \
187
+ --tokenizer_mode mistral --config_format mistral --load_format mistral \
188
+ --enable-auto-tool-choice --tool-call-parser mistral \
189
+ --reasoning-parser mistral
190
+ ```
191
+
192
+ Key parameter notes:
193
+
194
+ * enable-auto-tool-choice: Required when enabling tool usage.
195
+ * tool-call-parser mistral: Required when enabling tool usage.
196
+ * reasoning-parser mistral: Required when enabling reasoning.
197
+
198
+ Additional flags:
199
+
200
+ * You can set `--max-model-len` to preserve memory. By default it is set to `262144` which is quite large but not necessary for most scenarios.
201
+ * You can set `--max-num-batched-tokens` to balance throughput and latency, higher means higher throughput but higher latency.
202
+
203
+ Recommended Sampling Settings:
204
+
205
+ * We recommend starting with a Temperature of 0.7 for most use cases. Feel free to experiment with different settings to best suit your specific needs.
206
+
207
+ #### Usage of the model
208
+
209
+ Here we assume that the model `mistralai/Ministral-3-3B-Reasoning-2512` is served and you can ping it to the domain `localhost` with the port `8000` which is the default for vLLM.
210
+
211
+ <details>
212
+ <summary>Vision Reasoning</summary>
213
+
214
+ Let's see if the Ministral 3 model knows when to pick a fight !
215
+
216
+ ```python
217
+ from typing import Any
218
+
219
+ from openai import OpenAI
220
+ from huggingface_hub import hf_hub_download
221
+
222
+ # Modify OpenAI's API key and API base to use vLLM's API server.
223
+ openai_api_key = "EMPTY"
224
+ openai_api_base = "http://localhost:8000/v1"
225
+
226
+ TEMP = 0.7
227
+ TOP_P = 0.95
228
+ MAX_TOK = 262144
229
+ client = OpenAI(
230
+ api_key=openai_api_key,
231
+ base_url=openai_api_base,
232
+ )
233
+
234
+ models = client.models.list()
235
+ model = models.data[0].id
236
+
237
+
238
+ def load_system_prompt(repo_id: str, filename: str) -> dict[str, Any]:
239
+ file_path = hf_hub_download(repo_id=repo_id, filename=filename)
240
+ with open(file_path, "r") as file:
241
+ system_prompt = file.read()
242
+
243
+ index_begin_think = system_prompt.find("[THINK]")
244
+ index_end_think = system_prompt.find("[/THINK]")
245
+
246
+ return {
247
+ "role": "system",
248
+ "content": [
249
+ {"type": "text", "text": system_prompt[:index_begin_think]},
250
+ {
251
+ "type": "thinking",
252
+ "thinking": system_prompt[
253
+ index_begin_think + len("[THINK]") : index_end_think
254
+ ],
255
+ "closed": True,
256
+ },
257
+ {
258
+ "type": "text",
259
+ "text": system_prompt[index_end_think + len("[/THINK]") :],
260
+ },
261
+ ],
262
+ }
263
+
264
+
265
+ SYSTEM_PROMPT = load_system_prompt(model, "SYSTEM_PROMPT.txt")
266
+
267
+ image_url = "https://static.wikia.nocookie.net/essentialsdocs/images/7/70/Battle.png/revision/latest?cb=20220523172438"
268
+
269
+ messages = [
270
+ SYSTEM_PROMPT,
271
+ {
272
+ "role": "user",
273
+ "content": [
274
+ {
275
+ "type": "text",
276
+ "text": "What action do you think I should take in this situation? List all the possible actions and explain why you think they are good or bad.",
277
+ },
278
+ {"type": "image_url", "image_url": {"url": image_url}},
279
+ ],
280
+ },
281
+ ]
282
+
283
+
284
+ stream = client.chat.completions.create(
285
+ model=model,
286
+ messages=messages,
287
+ stream=True,
288
+ temperature=TEMP,
289
+ top_p=TOP_P,
290
+ max_tokens=MAX_TOK,
291
+ )
292
+
293
+ print("client: Start streaming chat completions...:\n")
294
+ printed_reasoning_content = False
295
+ answer = []
296
+
297
+ for chunk in stream:
298
+ reasoning_content = None
299
+ content = None
300
+ # Check the content is reasoning_content or content
301
+ if hasattr(chunk.choices[0].delta, "reasoning_content"):
302
+ reasoning_content = chunk.choices[0].delta.reasoning_content
303
+ if hasattr(chunk.choices[0].delta, "content"):
304
+ content = chunk.choices[0].delta.content
305
+
306
+ if reasoning_content is not None:
307
+ if not printed_reasoning_content:
308
+ printed_reasoning_content = True
309
+ print("Start reasoning:\n", end="", flush=True)
310
+ print(reasoning_content, end="", flush=True)
311
+ elif content is not None:
312
+ # Extract and print the content
313
+ if not reasoning_content and printed_reasoning_content:
314
+ answer.extend(content)
315
+ print(content, end="", flush=True)
316
+
317
+ if answer:
318
+ print("\n\n=============\nAnswer\n=============\n")
319
+ print("".join(answer))
320
+ else:
321
+ print("\n\n=============\nNo Answer\n=============\n")
322
+ print(
323
+ "No answer was generated by the model, probably because the maximum number of tokens was reached."
324
+ )
325
+ ```
326
+
327
+ </details>
328
+
329
+ ### Transformers
330
+
331
+ You can also use Ministral 3 3B Reasoning 2512 with `Transformers` !
332
+ Make sure to install `Transformers` from its first v5 release candidate or from "main":
333
+
334
+ ```
335
+ pip install transformers==5.0.0rc0
336
+ ```
337
+
338
+ To make the best use of our model with `Transformers` make sure to have [installed](https://github.com/mistralai/mistral-common) `mistral-common >= 1.8.6` to use our tokenizer.
339
+
340
+ ```bash
341
+ pip install mistral-common --upgrade
342
+ ```
343
+
344
+ Then load our tokenizer along with the model and generate:
345
+
346
+ <details>
347
+ <summary>Python snippet</summary>
348
+
349
+ ```python
350
+ import torch
351
+ from transformers import Mistral3ForConditionalGeneration, MistralCommonBackend
352
+
353
+ model_id = "mistralai/Ministral-3-3B-Reasoning-2512"
354
+
355
+ tokenizer = MistralCommonBackend.from_pretrained(model_id)
356
+ model = Mistral3ForConditionalGeneration.from_pretrained(
357
+ model_id, torch_dtype=torch.bfloat16, device_map="auto"
358
+ )
359
+
360
+ image_url = "https://static.wikia.nocookie.net/essentialsdocs/images/7/70/Battle.png/revision/latest?cb=20220523172438"
361
+
362
+ messages = [
363
+ {
364
+ "role": "user",
365
+ "content": [
366
+ {
367
+ "type": "text",
368
+ "text": "What action do you think I should take in this situation? List all the possible actions and explain why you think they are good or bad.",
369
+ },
370
+ {"type": "image_url", "image_url": {"url": image_url}},
371
+ ],
372
+ },
373
+ ]
374
+
375
+ tokenized = tokenizer.apply_chat_template(messages, return_tensors="pt", return_dict=True)
376
+
377
+ tokenized["input_ids"] = tokenized["input_ids"].to(device="cuda")
378
+ tokenized["pixel_values"] = tokenized["pixel_values"].to(dtype=torch.bfloat16, device="cuda")
379
+ image_sizes = [tokenized["pixel_values"].shape[-2:]]
380
+
381
+ output = model.generate(
382
+ **tokenized,
383
+ image_sizes=image_sizes,
384
+ max_new_tokens=8092,
385
+ )[0]
386
+
387
+ decoded_output = tokenizer.decode(output[len(tokenized["input_ids"][0]):])
388
+ print(decoded_output)
389
+ ```
390
+
391
+ </details>
392
+
393
+ ## License
394
+
395
+ This model is licensed under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0.txt).
396
+
397
+ *You must not use this model in a manner that infringes, misappropriates, or otherwise violates any third party’s rights, including intellectual property rights.*
chat_template.jinja ADDED
@@ -0,0 +1,126 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {#- Default system message if no system prompt is passed. #}
2
+ {%- set default_system_message = '# HOW YOU SHOULD THINK AND ANSWER\n\nFirst draft your thinking process (inner monologue) until you arrive at a response. Format your response using Markdown, and use LaTeX for any mathematical equations. Write both your thoughts and the response in the same language as the input.\n\nYour thinking process must follow the template below:[THINK]Your thoughts or/and draft, like working through an exercise on scratch paper. Be as casual and as long as you want until you are confident to generate the response to the user.[/THINK]Here, provide a self-contained response.' %}
3
+
4
+ {#- Begin of sequence token. #}
5
+ {{- bos_token }}
6
+
7
+ {#- Handle system prompt if it exists. #}
8
+ {#- System prompt supports text content or text and thinking chunks. #}
9
+ {%- if messages[0]['role'] == 'system' %}
10
+ {{- '[SYSTEM_PROMPT]' -}}
11
+ {%- if messages[0]['content'] is string %}
12
+ {{- messages[0]['content'] -}}
13
+ {%- else %}
14
+ {%- for block in messages[0]['content'] %}
15
+ {%- if block['type'] == 'text' %}
16
+ {{- block['text'] }}
17
+ {%- elif block['type'] == 'thinking' %}
18
+ {{- '[THINK]' + block['thinking'] + '[/THINK]' }}
19
+ {%- else %}
20
+ {{- raise_exception('Only text and thinking chunks are supported in system message contents.') }}
21
+ {%- endif %}
22
+ {%- endfor %}
23
+ {%- endif %}
24
+ {{- '[/SYSTEM_PROMPT]' -}}
25
+ {%- set loop_messages = messages[1:] %}
26
+ {%- else %}
27
+ {%- set loop_messages = messages %}
28
+ {%- if default_system_message != '' %}
29
+ {{- '[SYSTEM_PROMPT]' + default_system_message + '[/SYSTEM_PROMPT]' }}
30
+ {%- endif %}
31
+ {%- endif %}
32
+
33
+
34
+ {#- Tools definition #}
35
+ {%- set tools_definition = '' %}
36
+ {%- set has_tools = false %}
37
+ {%- if tools is defined and tools is not none and tools|length > 0 %}
38
+ {%- set has_tools = true %}
39
+ {%- set tools_definition = '[AVAILABLE_TOOLS]' + (tools| tojson) + '[/AVAILABLE_TOOLS]' %}
40
+ {{- tools_definition }}
41
+ {%- endif %}
42
+
43
+ {#- Checks for alternating user/assistant messages. #}
44
+ {%- set ns = namespace(index=0) %}
45
+ {%- for message in loop_messages %}
46
+ {%- if message.role == 'user' or (message.role == 'assistant' and (message.tool_calls is not defined or message.tool_calls is none or message.tool_calls | length == 0)) %}
47
+ {%- if (message['role'] == 'user') != (ns.index % 2 == 0) %}
48
+ {{- raise_exception('After the optional system message, conversation roles must alternate user and assistant roles except for tool calls and results.') }}
49
+ {%- endif %}
50
+ {%- set ns.index = ns.index + 1 %}
51
+ {%- endif %}
52
+ {%- endfor %}
53
+
54
+ {#- Handle conversation messages. #}
55
+ {%- for message in loop_messages %}
56
+
57
+ {#- User messages supports text content or text and image chunks. #}
58
+ {%- if message['role'] == 'user' %}
59
+ {%- if message['content'] is string %}
60
+ {{- '[INST]' + message['content'] + '[/INST]' }}
61
+ {%- elif message['content'] | length > 0 %}
62
+ {{- '[INST]' }}
63
+ {%- if message['content'] | length == 2 %}
64
+ {%- set blocks = message['content'] | sort(attribute='type') %}
65
+ {%- else %}
66
+ {%- set blocks = message['content'] %}
67
+ {%- endif %}
68
+ {%- for block in blocks %}
69
+ {%- if block['type'] == 'text' %}
70
+ {{- block['text'] }}
71
+ {%- elif block['type'] in ['image', 'image_url'] %}
72
+ {{- '[IMG]' }}
73
+ {%- else %}
74
+ {{- raise_exception('Only text, image and image_url chunks are supported in user message content.') }}
75
+ {%- endif %}
76
+ {%- endfor %}
77
+ {{- '[/INST]' }}
78
+ {%- else %}
79
+ {{- raise_exception('User message must have a string or a list of chunks in content') }}
80
+ {%- endif %}
81
+
82
+ {#- Assistant messages supports text content or text, image and thinking chunks. #}
83
+ {%- elif message['role'] == 'assistant' %}
84
+ {%- if (message['content'] is none or message['content'] == '' or message['content']|length == 0) and (message['tool_calls'] is not defined or message['tool_calls'] is none or message['tool_calls']|length == 0) %}
85
+ {{- raise_exception('Assistant message must have a string or a list of chunks in content or a list of tool calls.') }}
86
+ {%- endif %}
87
+
88
+ {%- if message['content'] is string and message['content'] != '' %}
89
+ {{- message['content'] }}
90
+ {%- elif message['content'] | length > 0 %}
91
+ {%- for block in message['content'] %}
92
+ {%- if block['type'] == 'text' %}
93
+ {{- block['text'] }}
94
+ {%- elif block['type'] == 'thinking' %}
95
+ {{- '[THINK]' + block['thinking'] + '[/THINK]' }}
96
+ {%- else %}
97
+ {{- raise_exception('Only text and thinking chunks are supported in assistant message contents.') }}
98
+ {%- endif %}
99
+ {%- endfor %}
100
+ {%- endif %}
101
+
102
+ {%- if message['tool_calls'] is defined and message['tool_calls'] is not none and message['tool_calls']|length > 0 %}
103
+ {%- for tool in message['tool_calls'] %}
104
+ {{- '[TOOL_CALLS]' }}
105
+ {%- set name = tool['function']['name'] %}
106
+ {%- set arguments = tool['function']['arguments'] %}
107
+ {%- if arguments is not string %}
108
+ {%- set arguments = arguments|tojson|safe %}
109
+ {%- elif arguments == '' %}
110
+ {%- set arguments = '{}' %}
111
+ {%- endif %}
112
+ {{- name + '[ARGS]' + arguments }}
113
+ {%- endfor %}
114
+ {%- endif %}
115
+
116
+ {{- eos_token }}
117
+
118
+ {#- Tool messages only supports text content. #}
119
+ {%- elif message['role'] == 'tool' %}
120
+ {{- '[TOOL_RESULTS]' + message['content']|string + '[/TOOL_RESULTS]' }}
121
+
122
+ {#- Raise exception for unsupported roles. #}
123
+ {%- else %}
124
+ {{- raise_exception('Only user, assistant and tool roles are supported, got ' + message['role'] + '.') }}
125
+ {%- endif %}
126
+ {%- endfor %}
config.json ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Mistral3ForConditionalGeneration"
4
+ ],
5
+ "bos_token_id": 1,
6
+ "torch_dtype": "bfloat16",
7
+ "eos_token_id": 2,
8
+ "image_token_index": 10,
9
+ "model_type": "mistral3",
10
+ "multimodal_projector_bias": false,
11
+ "pad_token_id": 11,
12
+ "projector_hidden_act": "gelu",
13
+ "quantization_config": {
14
+ "_load_in_4bit": true,
15
+ "_load_in_8bit": false,
16
+ "bnb_4bit_compute_dtype": "bfloat16",
17
+ "bnb_4bit_quant_storage": "uint8",
18
+ "bnb_4bit_quant_type": "nf4",
19
+ "bnb_4bit_use_double_quant": true,
20
+ "llm_int8_enable_fp32_cpu_offload": false,
21
+ "llm_int8_has_fp16_weight": false,
22
+ "llm_int8_skip_modules": [
23
+ "embed_tokens",
24
+ "embedding",
25
+ "lm_head",
26
+ "multi_modal_projector",
27
+ "merger",
28
+ "modality_projection",
29
+ "router",
30
+ "visual",
31
+ "vision_tower"
32
+ ],
33
+ "llm_int8_threshold": 6.0,
34
+ "load_in_4bit": true,
35
+ "load_in_8bit": false,
36
+ "quant_method": "bitsandbytes"
37
+ },
38
+ "spatial_merge_size": 2,
39
+ "text_config": {
40
+ "attention_dropout": 0.0,
41
+ "torch_dtype": "bfloat16",
42
+ "head_dim": 128,
43
+ "hidden_act": "silu",
44
+ "hidden_size": 3072,
45
+ "initializer_range": 0.02,
46
+ "intermediate_size": 9216,
47
+ "max_position_embeddings": 262144,
48
+ "model_type": "ministral3",
49
+ "num_attention_heads": 32,
50
+ "num_hidden_layers": 26,
51
+ "num_key_value_heads": 8,
52
+ "rms_norm_eps": 1e-05,
53
+ "rope_parameters": {
54
+ "beta_fast": 32.0,
55
+ "beta_slow": 1.0,
56
+ "factor": 16.0,
57
+ "llama_4_scaling_beta": 0.1,
58
+ "mscale": 1.0,
59
+ "mscale_all_dim": 1.0,
60
+ "original_max_position_embeddings": 16384,
61
+ "rope_theta": 1000000.0,
62
+ "rope_type": "yarn",
63
+ "type": "yarn"
64
+ },
65
+ "sliding_window": null,
66
+ "tie_word_embeddings": true,
67
+ "use_cache": true,
68
+ "vocab_size": 131072
69
+ },
70
+ "transformers_version": "5.0.0.dev0",
71
+ "unsloth_fixed": true,
72
+ "vision_config": {
73
+ "attention_dropout": 0.0,
74
+ "torch_dtype": "bfloat16",
75
+ "head_dim": 64,
76
+ "hidden_act": "silu",
77
+ "hidden_size": 1024,
78
+ "image_size": 1540,
79
+ "initializer_range": 0.02,
80
+ "intermediate_size": 4096,
81
+ "model_type": "pixtral",
82
+ "num_attention_heads": 16,
83
+ "num_channels": 3,
84
+ "num_hidden_layers": 24,
85
+ "patch_size": 14,
86
+ "rope_parameters": {
87
+ "rope_theta": 10000.0,
88
+ "rope_type": "default"
89
+ }
90
+ },
91
+ "vision_feature_layer": -1
92
+ }
generation_config.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 1,
3
+ "eos_token_id": 2,
4
+ "max_length": 262144,
5
+ "pad_token_id": 11,
6
+ "transformers_version": "5.0.0.dev0"
7
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:232eebb70e08d686db24aff506e4cb89bf760435bef397fb7155bcb34596e5a2
3
+ size 3207330232
processor_config.json ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "image_break_token": "[IMG_BREAK]",
3
+ "image_end_token": "[IMG_END]",
4
+ "image_processor": {
5
+ "crop_size": null,
6
+ "data_format": "channels_first",
7
+ "device": null,
8
+ "disable_grouping": null,
9
+ "do_center_crop": null,
10
+ "do_convert_rgb": true,
11
+ "do_normalize": true,
12
+ "do_pad": null,
13
+ "do_rescale": true,
14
+ "do_resize": true,
15
+ "image_mean": [
16
+ 0.48145466,
17
+ 0.4578275,
18
+ 0.40821073
19
+ ],
20
+ "image_processor_type": "PixtralImageProcessorFast",
21
+ "image_seq_length": null,
22
+ "image_std": [
23
+ 0.26862954,
24
+ 0.26130258,
25
+ 0.27577711
26
+ ],
27
+ "input_data_format": null,
28
+ "pad_size": null,
29
+ "patch_size": 14,
30
+ "processor_class": "PixtralProcessor",
31
+ "resample": 3,
32
+ "rescale_factor": 0.00392156862745098,
33
+ "return_tensors": null,
34
+ "size": {
35
+ "longest_edge": 1540
36
+ }
37
+ },
38
+ "image_token": "[IMG]",
39
+ "patch_size": 14,
40
+ "processor_class": "PixtralProcessor",
41
+ "spatial_merge_size": 2
42
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:577575622324b2e099e2648be26bdeb5e5815ffe66d7004e9e3ddbf421db6bf1
3
+ size 17078110
tokenizer_config.json ADDED
@@ -0,0 +1,2023 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": null,
5
+ "additional_special_tokens": [
6
+ "<unk>",
7
+ "<s>",
8
+ "</s>",
9
+ "[INST]",
10
+ "[/INST]",
11
+ "[AVAILABLE_TOOLS]",
12
+ "[/AVAILABLE_TOOLS]",
13
+ "[TOOL_RESULTS]",
14
+ "[/TOOL_RESULTS]",
15
+ "[TOOL_CALLS]",
16
+ "[IMG]",
17
+ "<pad>",
18
+ "[IMG_BREAK]",
19
+ "[IMG_END]",
20
+ "[PREFIX]",
21
+ "[MIDDLE]",
22
+ "[SUFFIX]",
23
+ "[SYSTEM_PROMPT]",
24
+ "[/SYSTEM_PROMPT]",
25
+ "[TOOL_CONTENT]",
26
+ "<SPECIAL_20>",
27
+ "<SPECIAL_21>",
28
+ "<SPECIAL_22>",
29
+ "<SPECIAL_23>",
30
+ "[AUDIO]",
31
+ "[BEGIN_AUDIO]",
32
+ "<SPECIAL_26>",
33
+ "<SPECIAL_27>",
34
+ "<SPECIAL_28>",
35
+ "<SPECIAL_29>",
36
+ "<SPECIAL_30>",
37
+ "<SPECIAL_31>",
38
+ "[ARGS]",
39
+ "[CALL_ID]",
40
+ "[THINK]",
41
+ "[/THINK]",
42
+ "<SPECIAL_36>",
43
+ "<SPECIAL_37>",
44
+ "<SPECIAL_38>",
45
+ "<SPECIAL_39>",
46
+ "<SPECIAL_40>",
47
+ "<SPECIAL_41>",
48
+ "<SPECIAL_42>",
49
+ "<SPECIAL_43>",
50
+ "<SPECIAL_44>",
51
+ "<SPECIAL_45>",
52
+ "<SPECIAL_46>",
53
+ "<SPECIAL_47>",
54
+ "<SPECIAL_48>",
55
+ "<SPECIAL_49>",
56
+ "<SPECIAL_50>",
57
+ "<SPECIAL_51>",
58
+ "<SPECIAL_52>",
59
+ "<SPECIAL_53>",
60
+ "<SPECIAL_54>",
61
+ "<SPECIAL_55>",
62
+ "<SPECIAL_56>",
63
+ "<SPECIAL_57>",
64
+ "<SPECIAL_58>",
65
+ "<SPECIAL_59>",
66
+ "<SPECIAL_60>",
67
+ "<SPECIAL_61>",
68
+ "<SPECIAL_62>",
69
+ "<SPECIAL_63>",
70
+ "<SPECIAL_64>",
71
+ "<SPECIAL_65>",
72
+ "<SPECIAL_66>",
73
+ "<SPECIAL_67>",
74
+ "<SPECIAL_68>",
75
+ "<SPECIAL_69>",
76
+ "<SPECIAL_70>",
77
+ "<SPECIAL_71>",
78
+ "<SPECIAL_72>",
79
+ "<SPECIAL_73>",
80
+ "<SPECIAL_74>",
81
+ "<SPECIAL_75>",
82
+ "<SPECIAL_76>",
83
+ "<SPECIAL_77>",
84
+ "<SPECIAL_78>",
85
+ "<SPECIAL_79>",
86
+ "<SPECIAL_80>",
87
+ "<SPECIAL_81>",
88
+ "<SPECIAL_82>",
89
+ "<SPECIAL_83>",
90
+ "<SPECIAL_84>",
91
+ "<SPECIAL_85>",
92
+ "<SPECIAL_86>",
93
+ "<SPECIAL_87>",
94
+ "<SPECIAL_88>",
95
+ "<SPECIAL_89>",
96
+ "<SPECIAL_90>",
97
+ "<SPECIAL_91>",
98
+ "<SPECIAL_92>",
99
+ "<SPECIAL_93>",
100
+ "<SPECIAL_94>",
101
+ "<SPECIAL_95>",
102
+ "<SPECIAL_96>",
103
+ "<SPECIAL_97>",
104
+ "<SPECIAL_98>",
105
+ "<SPECIAL_99>",
106
+ "<SPECIAL_100>",
107
+ "<SPECIAL_101>",
108
+ "<SPECIAL_102>",
109
+ "<SPECIAL_103>",
110
+ "<SPECIAL_104>",
111
+ "<SPECIAL_105>",
112
+ "<SPECIAL_106>",
113
+ "<SPECIAL_107>",
114
+ "<SPECIAL_108>",
115
+ "<SPECIAL_109>",
116
+ "<SPECIAL_110>",
117
+ "<SPECIAL_111>",
118
+ "<SPECIAL_112>",
119
+ "<SPECIAL_113>",
120
+ "<SPECIAL_114>",
121
+ "<SPECIAL_115>",
122
+ "<SPECIAL_116>",
123
+ "<SPECIAL_117>",
124
+ "<SPECIAL_118>",
125
+ "<SPECIAL_119>",
126
+ "<SPECIAL_120>",
127
+ "<SPECIAL_121>",
128
+ "<SPECIAL_122>",
129
+ "<SPECIAL_123>",
130
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+ "<SPECIAL_797>",
804
+ "<SPECIAL_798>",
805
+ "<SPECIAL_799>",
806
+ "<SPECIAL_800>",
807
+ "<SPECIAL_801>",
808
+ "<SPECIAL_802>",
809
+ "<SPECIAL_803>",
810
+ "<SPECIAL_804>",
811
+ "<SPECIAL_805>",
812
+ "<SPECIAL_806>",
813
+ "<SPECIAL_807>",
814
+ "<SPECIAL_808>",
815
+ "<SPECIAL_809>",
816
+ "<SPECIAL_810>",
817
+ "<SPECIAL_811>",
818
+ "<SPECIAL_812>",
819
+ "<SPECIAL_813>",
820
+ "<SPECIAL_814>",
821
+ "<SPECIAL_815>",
822
+ "<SPECIAL_816>",
823
+ "<SPECIAL_817>",
824
+ "<SPECIAL_818>",
825
+ "<SPECIAL_819>",
826
+ "<SPECIAL_820>",
827
+ "<SPECIAL_821>",
828
+ "<SPECIAL_822>",
829
+ "<SPECIAL_823>",
830
+ "<SPECIAL_824>",
831
+ "<SPECIAL_825>",
832
+ "<SPECIAL_826>",
833
+ "<SPECIAL_827>",
834
+ "<SPECIAL_828>",
835
+ "<SPECIAL_829>",
836
+ "<SPECIAL_830>",
837
+ "<SPECIAL_831>",
838
+ "<SPECIAL_832>",
839
+ "<SPECIAL_833>",
840
+ "<SPECIAL_834>",
841
+ "<SPECIAL_835>",
842
+ "<SPECIAL_836>",
843
+ "<SPECIAL_837>",
844
+ "<SPECIAL_838>",
845
+ "<SPECIAL_839>",
846
+ "<SPECIAL_840>",
847
+ "<SPECIAL_841>",
848
+ "<SPECIAL_842>",
849
+ "<SPECIAL_843>",
850
+ "<SPECIAL_844>",
851
+ "<SPECIAL_845>",
852
+ "<SPECIAL_846>",
853
+ "<SPECIAL_847>",
854
+ "<SPECIAL_848>",
855
+ "<SPECIAL_849>",
856
+ "<SPECIAL_850>",
857
+ "<SPECIAL_851>",
858
+ "<SPECIAL_852>",
859
+ "<SPECIAL_853>",
860
+ "<SPECIAL_854>",
861
+ "<SPECIAL_855>",
862
+ "<SPECIAL_856>",
863
+ "<SPECIAL_857>",
864
+ "<SPECIAL_858>",
865
+ "<SPECIAL_859>",
866
+ "<SPECIAL_860>",
867
+ "<SPECIAL_861>",
868
+ "<SPECIAL_862>",
869
+ "<SPECIAL_863>",
870
+ "<SPECIAL_864>",
871
+ "<SPECIAL_865>",
872
+ "<SPECIAL_866>",
873
+ "<SPECIAL_867>",
874
+ "<SPECIAL_868>",
875
+ "<SPECIAL_869>",
876
+ "<SPECIAL_870>",
877
+ "<SPECIAL_871>",
878
+ "<SPECIAL_872>",
879
+ "<SPECIAL_873>",
880
+ "<SPECIAL_874>",
881
+ "<SPECIAL_875>",
882
+ "<SPECIAL_876>",
883
+ "<SPECIAL_877>",
884
+ "<SPECIAL_878>",
885
+ "<SPECIAL_879>",
886
+ "<SPECIAL_880>",
887
+ "<SPECIAL_881>",
888
+ "<SPECIAL_882>",
889
+ "<SPECIAL_883>",
890
+ "<SPECIAL_884>",
891
+ "<SPECIAL_885>",
892
+ "<SPECIAL_886>",
893
+ "<SPECIAL_887>",
894
+ "<SPECIAL_888>",
895
+ "<SPECIAL_889>",
896
+ "<SPECIAL_890>",
897
+ "<SPECIAL_891>",
898
+ "<SPECIAL_892>",
899
+ "<SPECIAL_893>",
900
+ "<SPECIAL_894>",
901
+ "<SPECIAL_895>",
902
+ "<SPECIAL_896>",
903
+ "<SPECIAL_897>",
904
+ "<SPECIAL_898>",
905
+ "<SPECIAL_899>",
906
+ "<SPECIAL_900>",
907
+ "<SPECIAL_901>",
908
+ "<SPECIAL_902>",
909
+ "<SPECIAL_903>",
910
+ "<SPECIAL_904>",
911
+ "<SPECIAL_905>",
912
+ "<SPECIAL_906>",
913
+ "<SPECIAL_907>",
914
+ "<SPECIAL_908>",
915
+ "<SPECIAL_909>",
916
+ "<SPECIAL_910>",
917
+ "<SPECIAL_911>",
918
+ "<SPECIAL_912>",
919
+ "<SPECIAL_913>",
920
+ "<SPECIAL_914>",
921
+ "<SPECIAL_915>",
922
+ "<SPECIAL_916>",
923
+ "<SPECIAL_917>",
924
+ "<SPECIAL_918>",
925
+ "<SPECIAL_919>",
926
+ "<SPECIAL_920>",
927
+ "<SPECIAL_921>",
928
+ "<SPECIAL_922>",
929
+ "<SPECIAL_923>",
930
+ "<SPECIAL_924>",
931
+ "<SPECIAL_925>",
932
+ "<SPECIAL_926>",
933
+ "<SPECIAL_927>",
934
+ "<SPECIAL_928>",
935
+ "<SPECIAL_929>",
936
+ "<SPECIAL_930>",
937
+ "<SPECIAL_931>",
938
+ "<SPECIAL_932>",
939
+ "<SPECIAL_933>",
940
+ "<SPECIAL_934>",
941
+ "<SPECIAL_935>",
942
+ "<SPECIAL_936>",
943
+ "<SPECIAL_937>",
944
+ "<SPECIAL_938>",
945
+ "<SPECIAL_939>",
946
+ "<SPECIAL_940>",
947
+ "<SPECIAL_941>",
948
+ "<SPECIAL_942>",
949
+ "<SPECIAL_943>",
950
+ "<SPECIAL_944>",
951
+ "<SPECIAL_945>",
952
+ "<SPECIAL_946>",
953
+ "<SPECIAL_947>",
954
+ "<SPECIAL_948>",
955
+ "<SPECIAL_949>",
956
+ "<SPECIAL_950>",
957
+ "<SPECIAL_951>",
958
+ "<SPECIAL_952>",
959
+ "<SPECIAL_953>",
960
+ "<SPECIAL_954>",
961
+ "<SPECIAL_955>",
962
+ "<SPECIAL_956>",
963
+ "<SPECIAL_957>",
964
+ "<SPECIAL_958>",
965
+ "<SPECIAL_959>",
966
+ "<SPECIAL_960>",
967
+ "<SPECIAL_961>",
968
+ "<SPECIAL_962>",
969
+ "<SPECIAL_963>",
970
+ "<SPECIAL_964>",
971
+ "<SPECIAL_965>",
972
+ "<SPECIAL_966>",
973
+ "<SPECIAL_967>",
974
+ "<SPECIAL_968>",
975
+ "<SPECIAL_969>",
976
+ "<SPECIAL_970>",
977
+ "<SPECIAL_971>",
978
+ "<SPECIAL_972>",
979
+ "<SPECIAL_973>",
980
+ "<SPECIAL_974>",
981
+ "<SPECIAL_975>",
982
+ "<SPECIAL_976>",
983
+ "<SPECIAL_977>",
984
+ "<SPECIAL_978>",
985
+ "<SPECIAL_979>",
986
+ "<SPECIAL_980>",
987
+ "<SPECIAL_981>",
988
+ "<SPECIAL_982>",
989
+ "<SPECIAL_983>",
990
+ "<SPECIAL_984>",
991
+ "<SPECIAL_985>",
992
+ "<SPECIAL_986>",
993
+ "<SPECIAL_987>",
994
+ "<SPECIAL_988>",
995
+ "<SPECIAL_989>",
996
+ "<SPECIAL_990>",
997
+ "<SPECIAL_991>",
998
+ "<SPECIAL_992>",
999
+ "<SPECIAL_993>",
1000
+ "<SPECIAL_994>",
1001
+ "<SPECIAL_995>",
1002
+ "<SPECIAL_996>",
1003
+ "<SPECIAL_997>",
1004
+ "<SPECIAL_998>",
1005
+ "<SPECIAL_999>"
1006
+ ],
1007
+ "backend": "tokenizers",
1008
+ "bos_token": "<s>",
1009
+ "clean_up_tokenization_spaces": false,
1010
+ "eos_token": "</s>",
1011
+ "extra_special_tokens": [
1012
+ "<unk>",
1013
+ "<s>",
1014
+ "</s>",
1015
+ "[INST]",
1016
+ "[/INST]",
1017
+ "[AVAILABLE_TOOLS]",
1018
+ "[/AVAILABLE_TOOLS]",
1019
+ "[TOOL_RESULTS]",
1020
+ "[/TOOL_RESULTS]",
1021
+ "[TOOL_CALLS]",
1022
+ "[IMG]",
1023
+ "<pad>",
1024
+ "[IMG_BREAK]",
1025
+ "[IMG_END]",
1026
+ "[PREFIX]",
1027
+ "[MIDDLE]",
1028
+ "[SUFFIX]",
1029
+ "[SYSTEM_PROMPT]",
1030
+ "[/SYSTEM_PROMPT]",
1031
+ "[TOOL_CONTENT]",
1032
+ "<SPECIAL_20>",
1033
+ "<SPECIAL_21>",
1034
+ "<SPECIAL_22>",
1035
+ "<SPECIAL_23>",
1036
+ "[AUDIO]",
1037
+ "[BEGIN_AUDIO]",
1038
+ "<SPECIAL_26>",
1039
+ "<SPECIAL_27>",
1040
+ "<SPECIAL_28>",
1041
+ "<SPECIAL_29>",
1042
+ "<SPECIAL_30>",
1043
+ "<SPECIAL_31>",
1044
+ "[ARGS]",
1045
+ "[CALL_ID]",
1046
+ "[THINK]",
1047
+ "[/THINK]",
1048
+ "<SPECIAL_36>",
1049
+ "<SPECIAL_37>",
1050
+ "<SPECIAL_38>",
1051
+ "<SPECIAL_39>",
1052
+ "<SPECIAL_40>",
1053
+ "<SPECIAL_41>",
1054
+ "<SPECIAL_42>",
1055
+ "<SPECIAL_43>",
1056
+ "<SPECIAL_44>",
1057
+ "<SPECIAL_45>",
1058
+ "<SPECIAL_46>",
1059
+ "<SPECIAL_47>",
1060
+ "<SPECIAL_48>",
1061
+ "<SPECIAL_49>",
1062
+ "<SPECIAL_50>",
1063
+ "<SPECIAL_51>",
1064
+ "<SPECIAL_52>",
1065
+ "<SPECIAL_53>",
1066
+ "<SPECIAL_54>",
1067
+ "<SPECIAL_55>",
1068
+ "<SPECIAL_56>",
1069
+ "<SPECIAL_57>",
1070
+ "<SPECIAL_58>",
1071
+ "<SPECIAL_59>",
1072
+ "<SPECIAL_60>",
1073
+ "<SPECIAL_61>",
1074
+ "<SPECIAL_62>",
1075
+ "<SPECIAL_63>",
1076
+ "<SPECIAL_64>",
1077
+ "<SPECIAL_65>",
1078
+ "<SPECIAL_66>",
1079
+ "<SPECIAL_67>",
1080
+ "<SPECIAL_68>",
1081
+ "<SPECIAL_69>",
1082
+ "<SPECIAL_70>",
1083
+ "<SPECIAL_71>",
1084
+ "<SPECIAL_72>",
1085
+ "<SPECIAL_73>",
1086
+ "<SPECIAL_74>",
1087
+ "<SPECIAL_75>",
1088
+ "<SPECIAL_76>",
1089
+ "<SPECIAL_77>",
1090
+ "<SPECIAL_78>",
1091
+ "<SPECIAL_79>",
1092
+ "<SPECIAL_80>",
1093
+ "<SPECIAL_81>",
1094
+ "<SPECIAL_82>",
1095
+ "<SPECIAL_83>",
1096
+ "<SPECIAL_84>",
1097
+ "<SPECIAL_85>",
1098
+ "<SPECIAL_86>",
1099
+ "<SPECIAL_87>",
1100
+ "<SPECIAL_88>",
1101
+ "<SPECIAL_89>",
1102
+ "<SPECIAL_90>",
1103
+ "<SPECIAL_91>",
1104
+ "<SPECIAL_92>",
1105
+ "<SPECIAL_93>",
1106
+ "<SPECIAL_94>",
1107
+ "<SPECIAL_95>",
1108
+ "<SPECIAL_96>",
1109
+ "<SPECIAL_97>",
1110
+ "<SPECIAL_98>",
1111
+ "<SPECIAL_99>",
1112
+ "<SPECIAL_100>",
1113
+ "<SPECIAL_101>",
1114
+ "<SPECIAL_102>",
1115
+ "<SPECIAL_103>",
1116
+ "<SPECIAL_104>",
1117
+ "<SPECIAL_105>",
1118
+ "<SPECIAL_106>",
1119
+ "<SPECIAL_107>",
1120
+ "<SPECIAL_108>",
1121
+ "<SPECIAL_109>",
1122
+ "<SPECIAL_110>",
1123
+ "<SPECIAL_111>",
1124
+ "<SPECIAL_112>",
1125
+ "<SPECIAL_113>",
1126
+ "<SPECIAL_114>",
1127
+ "<SPECIAL_115>",
1128
+ "<SPECIAL_116>",
1129
+ "<SPECIAL_117>",
1130
+ "<SPECIAL_118>",
1131
+ "<SPECIAL_119>",
1132
+ "<SPECIAL_120>",
1133
+ "<SPECIAL_121>",
1134
+ "<SPECIAL_122>",
1135
+ "<SPECIAL_123>",
1136
+ "<SPECIAL_124>",
1137
+ "<SPECIAL_125>",
1138
+ "<SPECIAL_126>",
1139
+ "<SPECIAL_127>",
1140
+ "<SPECIAL_128>",
1141
+ "<SPECIAL_129>",
1142
+ "<SPECIAL_130>",
1143
+ "<SPECIAL_131>",
1144
+ "<SPECIAL_132>",
1145
+ "<SPECIAL_133>",
1146
+ "<SPECIAL_134>",
1147
+ "<SPECIAL_135>",
1148
+ "<SPECIAL_136>",
1149
+ "<SPECIAL_137>",
1150
+ "<SPECIAL_138>",
1151
+ "<SPECIAL_139>",
1152
+ "<SPECIAL_140>",
1153
+ "<SPECIAL_141>",
1154
+ "<SPECIAL_142>",
1155
+ "<SPECIAL_143>",
1156
+ "<SPECIAL_144>",
1157
+ "<SPECIAL_145>",
1158
+ "<SPECIAL_146>",
1159
+ "<SPECIAL_147>",
1160
+ "<SPECIAL_148>",
1161
+ "<SPECIAL_149>",
1162
+ "<SPECIAL_150>",
1163
+ "<SPECIAL_151>",
1164
+ "<SPECIAL_152>",
1165
+ "<SPECIAL_153>",
1166
+ "<SPECIAL_154>",
1167
+ "<SPECIAL_155>",
1168
+ "<SPECIAL_156>",
1169
+ "<SPECIAL_157>",
1170
+ "<SPECIAL_158>",
1171
+ "<SPECIAL_159>",
1172
+ "<SPECIAL_160>",
1173
+ "<SPECIAL_161>",
1174
+ "<SPECIAL_162>",
1175
+ "<SPECIAL_163>",
1176
+ "<SPECIAL_164>",
1177
+ "<SPECIAL_165>",
1178
+ "<SPECIAL_166>",
1179
+ "<SPECIAL_167>",
1180
+ "<SPECIAL_168>",
1181
+ "<SPECIAL_169>",
1182
+ "<SPECIAL_170>",
1183
+ "<SPECIAL_171>",
1184
+ "<SPECIAL_172>",
1185
+ "<SPECIAL_173>",
1186
+ "<SPECIAL_174>",
1187
+ "<SPECIAL_175>",
1188
+ "<SPECIAL_176>",
1189
+ "<SPECIAL_177>",
1190
+ "<SPECIAL_178>",
1191
+ "<SPECIAL_179>",
1192
+ "<SPECIAL_180>",
1193
+ "<SPECIAL_181>",
1194
+ "<SPECIAL_182>",
1195
+ "<SPECIAL_183>",
1196
+ "<SPECIAL_184>",
1197
+ "<SPECIAL_185>",
1198
+ "<SPECIAL_186>",
1199
+ "<SPECIAL_187>",
1200
+ "<SPECIAL_188>",
1201
+ "<SPECIAL_189>",
1202
+ "<SPECIAL_190>",
1203
+ "<SPECIAL_191>",
1204
+ "<SPECIAL_192>",
1205
+ "<SPECIAL_193>",
1206
+ "<SPECIAL_194>",
1207
+ "<SPECIAL_195>",
1208
+ "<SPECIAL_196>",
1209
+ "<SPECIAL_197>",
1210
+ "<SPECIAL_198>",
1211
+ "<SPECIAL_199>",
1212
+ "<SPECIAL_200>",
1213
+ "<SPECIAL_201>",
1214
+ "<SPECIAL_202>",
1215
+ "<SPECIAL_203>",
1216
+ "<SPECIAL_204>",
1217
+ "<SPECIAL_205>",
1218
+ "<SPECIAL_206>",
1219
+ "<SPECIAL_207>",
1220
+ "<SPECIAL_208>",
1221
+ "<SPECIAL_209>",
1222
+ "<SPECIAL_210>",
1223
+ "<SPECIAL_211>",
1224
+ "<SPECIAL_212>",
1225
+ "<SPECIAL_213>",
1226
+ "<SPECIAL_214>",
1227
+ "<SPECIAL_215>",
1228
+ "<SPECIAL_216>",
1229
+ "<SPECIAL_217>",
1230
+ "<SPECIAL_218>",
1231
+ "<SPECIAL_219>",
1232
+ "<SPECIAL_220>",
1233
+ "<SPECIAL_221>",
1234
+ "<SPECIAL_222>",
1235
+ "<SPECIAL_223>",
1236
+ "<SPECIAL_224>",
1237
+ "<SPECIAL_225>",
1238
+ "<SPECIAL_226>",
1239
+ "<SPECIAL_227>",
1240
+ "<SPECIAL_228>",
1241
+ "<SPECIAL_229>",
1242
+ "<SPECIAL_230>",
1243
+ "<SPECIAL_231>",
1244
+ "<SPECIAL_232>",
1245
+ "<SPECIAL_233>",
1246
+ "<SPECIAL_234>",
1247
+ "<SPECIAL_235>",
1248
+ "<SPECIAL_236>",
1249
+ "<SPECIAL_237>",
1250
+ "<SPECIAL_238>",
1251
+ "<SPECIAL_239>",
1252
+ "<SPECIAL_240>",
1253
+ "<SPECIAL_241>",
1254
+ "<SPECIAL_242>",
1255
+ "<SPECIAL_243>",
1256
+ "<SPECIAL_244>",
1257
+ "<SPECIAL_245>",
1258
+ "<SPECIAL_246>",
1259
+ "<SPECIAL_247>",
1260
+ "<SPECIAL_248>",
1261
+ "<SPECIAL_249>",
1262
+ "<SPECIAL_250>",
1263
+ "<SPECIAL_251>",
1264
+ "<SPECIAL_252>",
1265
+ "<SPECIAL_253>",
1266
+ "<SPECIAL_254>",
1267
+ "<SPECIAL_255>",
1268
+ "<SPECIAL_256>",
1269
+ "<SPECIAL_257>",
1270
+ "<SPECIAL_258>",
1271
+ "<SPECIAL_259>",
1272
+ "<SPECIAL_260>",
1273
+ "<SPECIAL_261>",
1274
+ "<SPECIAL_262>",
1275
+ "<SPECIAL_263>",
1276
+ "<SPECIAL_264>",
1277
+ "<SPECIAL_265>",
1278
+ "<SPECIAL_266>",
1279
+ "<SPECIAL_267>",
1280
+ "<SPECIAL_268>",
1281
+ "<SPECIAL_269>",
1282
+ "<SPECIAL_270>",
1283
+ "<SPECIAL_271>",
1284
+ "<SPECIAL_272>",
1285
+ "<SPECIAL_273>",
1286
+ "<SPECIAL_274>",
1287
+ "<SPECIAL_275>",
1288
+ "<SPECIAL_276>",
1289
+ "<SPECIAL_277>",
1290
+ "<SPECIAL_278>",
1291
+ "<SPECIAL_279>",
1292
+ "<SPECIAL_280>",
1293
+ "<SPECIAL_281>",
1294
+ "<SPECIAL_282>",
1295
+ "<SPECIAL_283>",
1296
+ "<SPECIAL_284>",
1297
+ "<SPECIAL_285>",
1298
+ "<SPECIAL_286>",
1299
+ "<SPECIAL_287>",
1300
+ "<SPECIAL_288>",
1301
+ "<SPECIAL_289>",
1302
+ "<SPECIAL_290>",
1303
+ "<SPECIAL_291>",
1304
+ "<SPECIAL_292>",
1305
+ "<SPECIAL_293>",
1306
+ "<SPECIAL_294>",
1307
+ "<SPECIAL_295>",
1308
+ "<SPECIAL_296>",
1309
+ "<SPECIAL_297>",
1310
+ "<SPECIAL_298>",
1311
+ "<SPECIAL_299>",
1312
+ "<SPECIAL_300>",
1313
+ "<SPECIAL_301>",
1314
+ "<SPECIAL_302>",
1315
+ "<SPECIAL_303>",
1316
+ "<SPECIAL_304>",
1317
+ "<SPECIAL_305>",
1318
+ "<SPECIAL_306>",
1319
+ "<SPECIAL_307>",
1320
+ "<SPECIAL_308>",
1321
+ "<SPECIAL_309>",
1322
+ "<SPECIAL_310>",
1323
+ "<SPECIAL_311>",
1324
+ "<SPECIAL_312>",
1325
+ "<SPECIAL_313>",
1326
+ "<SPECIAL_314>",
1327
+ "<SPECIAL_315>",
1328
+ "<SPECIAL_316>",
1329
+ "<SPECIAL_317>",
1330
+ "<SPECIAL_318>",
1331
+ "<SPECIAL_319>",
1332
+ "<SPECIAL_320>",
1333
+ "<SPECIAL_321>",
1334
+ "<SPECIAL_322>",
1335
+ "<SPECIAL_323>",
1336
+ "<SPECIAL_324>",
1337
+ "<SPECIAL_325>",
1338
+ "<SPECIAL_326>",
1339
+ "<SPECIAL_327>",
1340
+ "<SPECIAL_328>",
1341
+ "<SPECIAL_329>",
1342
+ "<SPECIAL_330>",
1343
+ "<SPECIAL_331>",
1344
+ "<SPECIAL_332>",
1345
+ "<SPECIAL_333>",
1346
+ "<SPECIAL_334>",
1347
+ "<SPECIAL_335>",
1348
+ "<SPECIAL_336>",
1349
+ "<SPECIAL_337>",
1350
+ "<SPECIAL_338>",
1351
+ "<SPECIAL_339>",
1352
+ "<SPECIAL_340>",
1353
+ "<SPECIAL_341>",
1354
+ "<SPECIAL_342>",
1355
+ "<SPECIAL_343>",
1356
+ "<SPECIAL_344>",
1357
+ "<SPECIAL_345>",
1358
+ "<SPECIAL_346>",
1359
+ "<SPECIAL_347>",
1360
+ "<SPECIAL_348>",
1361
+ "<SPECIAL_349>",
1362
+ "<SPECIAL_350>",
1363
+ "<SPECIAL_351>",
1364
+ "<SPECIAL_352>",
1365
+ "<SPECIAL_353>",
1366
+ "<SPECIAL_354>",
1367
+ "<SPECIAL_355>",
1368
+ "<SPECIAL_356>",
1369
+ "<SPECIAL_357>",
1370
+ "<SPECIAL_358>",
1371
+ "<SPECIAL_359>",
1372
+ "<SPECIAL_360>",
1373
+ "<SPECIAL_361>",
1374
+ "<SPECIAL_362>",
1375
+ "<SPECIAL_363>",
1376
+ "<SPECIAL_364>",
1377
+ "<SPECIAL_365>",
1378
+ "<SPECIAL_366>",
1379
+ "<SPECIAL_367>",
1380
+ "<SPECIAL_368>",
1381
+ "<SPECIAL_369>",
1382
+ "<SPECIAL_370>",
1383
+ "<SPECIAL_371>",
1384
+ "<SPECIAL_372>",
1385
+ "<SPECIAL_373>",
1386
+ "<SPECIAL_374>",
1387
+ "<SPECIAL_375>",
1388
+ "<SPECIAL_376>",
1389
+ "<SPECIAL_377>",
1390
+ "<SPECIAL_378>",
1391
+ "<SPECIAL_379>",
1392
+ "<SPECIAL_380>",
1393
+ "<SPECIAL_381>",
1394
+ "<SPECIAL_382>",
1395
+ "<SPECIAL_383>",
1396
+ "<SPECIAL_384>",
1397
+ "<SPECIAL_385>",
1398
+ "<SPECIAL_386>",
1399
+ "<SPECIAL_387>",
1400
+ "<SPECIAL_388>",
1401
+ "<SPECIAL_389>",
1402
+ "<SPECIAL_390>",
1403
+ "<SPECIAL_391>",
1404
+ "<SPECIAL_392>",
1405
+ "<SPECIAL_393>",
1406
+ "<SPECIAL_394>",
1407
+ "<SPECIAL_395>",
1408
+ "<SPECIAL_396>",
1409
+ "<SPECIAL_397>",
1410
+ "<SPECIAL_398>",
1411
+ "<SPECIAL_399>",
1412
+ "<SPECIAL_400>",
1413
+ "<SPECIAL_401>",
1414
+ "<SPECIAL_402>",
1415
+ "<SPECIAL_403>",
1416
+ "<SPECIAL_404>",
1417
+ "<SPECIAL_405>",
1418
+ "<SPECIAL_406>",
1419
+ "<SPECIAL_407>",
1420
+ "<SPECIAL_408>",
1421
+ "<SPECIAL_409>",
1422
+ "<SPECIAL_410>",
1423
+ "<SPECIAL_411>",
1424
+ "<SPECIAL_412>",
1425
+ "<SPECIAL_413>",
1426
+ "<SPECIAL_414>",
1427
+ "<SPECIAL_415>",
1428
+ "<SPECIAL_416>",
1429
+ "<SPECIAL_417>",
1430
+ "<SPECIAL_418>",
1431
+ "<SPECIAL_419>",
1432
+ "<SPECIAL_420>",
1433
+ "<SPECIAL_421>",
1434
+ "<SPECIAL_422>",
1435
+ "<SPECIAL_423>",
1436
+ "<SPECIAL_424>",
1437
+ "<SPECIAL_425>",
1438
+ "<SPECIAL_426>",
1439
+ "<SPECIAL_427>",
1440
+ "<SPECIAL_428>",
1441
+ "<SPECIAL_429>",
1442
+ "<SPECIAL_430>",
1443
+ "<SPECIAL_431>",
1444
+ "<SPECIAL_432>",
1445
+ "<SPECIAL_433>",
1446
+ "<SPECIAL_434>",
1447
+ "<SPECIAL_435>",
1448
+ "<SPECIAL_436>",
1449
+ "<SPECIAL_437>",
1450
+ "<SPECIAL_438>",
1451
+ "<SPECIAL_439>",
1452
+ "<SPECIAL_440>",
1453
+ "<SPECIAL_441>",
1454
+ "<SPECIAL_442>",
1455
+ "<SPECIAL_443>",
1456
+ "<SPECIAL_444>",
1457
+ "<SPECIAL_445>",
1458
+ "<SPECIAL_446>",
1459
+ "<SPECIAL_447>",
1460
+ "<SPECIAL_448>",
1461
+ "<SPECIAL_449>",
1462
+ "<SPECIAL_450>",
1463
+ "<SPECIAL_451>",
1464
+ "<SPECIAL_452>",
1465
+ "<SPECIAL_453>",
1466
+ "<SPECIAL_454>",
1467
+ "<SPECIAL_455>",
1468
+ "<SPECIAL_456>",
1469
+ "<SPECIAL_457>",
1470
+ "<SPECIAL_458>",
1471
+ "<SPECIAL_459>",
1472
+ "<SPECIAL_460>",
1473
+ "<SPECIAL_461>",
1474
+ "<SPECIAL_462>",
1475
+ "<SPECIAL_463>",
1476
+ "<SPECIAL_464>",
1477
+ "<SPECIAL_465>",
1478
+ "<SPECIAL_466>",
1479
+ "<SPECIAL_467>",
1480
+ "<SPECIAL_468>",
1481
+ "<SPECIAL_469>",
1482
+ "<SPECIAL_470>",
1483
+ "<SPECIAL_471>",
1484
+ "<SPECIAL_472>",
1485
+ "<SPECIAL_473>",
1486
+ "<SPECIAL_474>",
1487
+ "<SPECIAL_475>",
1488
+ "<SPECIAL_476>",
1489
+ "<SPECIAL_477>",
1490
+ "<SPECIAL_478>",
1491
+ "<SPECIAL_479>",
1492
+ "<SPECIAL_480>",
1493
+ "<SPECIAL_481>",
1494
+ "<SPECIAL_482>",
1495
+ "<SPECIAL_483>",
1496
+ "<SPECIAL_484>",
1497
+ "<SPECIAL_485>",
1498
+ "<SPECIAL_486>",
1499
+ "<SPECIAL_487>",
1500
+ "<SPECIAL_488>",
1501
+ "<SPECIAL_489>",
1502
+ "<SPECIAL_490>",
1503
+ "<SPECIAL_491>",
1504
+ "<SPECIAL_492>",
1505
+ "<SPECIAL_493>",
1506
+ "<SPECIAL_494>",
1507
+ "<SPECIAL_495>",
1508
+ "<SPECIAL_496>",
1509
+ "<SPECIAL_497>",
1510
+ "<SPECIAL_498>",
1511
+ "<SPECIAL_499>",
1512
+ "<SPECIAL_500>",
1513
+ "<SPECIAL_501>",
1514
+ "<SPECIAL_502>",
1515
+ "<SPECIAL_503>",
1516
+ "<SPECIAL_504>",
1517
+ "<SPECIAL_505>",
1518
+ "<SPECIAL_506>",
1519
+ "<SPECIAL_507>",
1520
+ "<SPECIAL_508>",
1521
+ "<SPECIAL_509>",
1522
+ "<SPECIAL_510>",
1523
+ "<SPECIAL_511>",
1524
+ "<SPECIAL_512>",
1525
+ "<SPECIAL_513>",
1526
+ "<SPECIAL_514>",
1527
+ "<SPECIAL_515>",
1528
+ "<SPECIAL_516>",
1529
+ "<SPECIAL_517>",
1530
+ "<SPECIAL_518>",
1531
+ "<SPECIAL_519>",
1532
+ "<SPECIAL_520>",
1533
+ "<SPECIAL_521>",
1534
+ "<SPECIAL_522>",
1535
+ "<SPECIAL_523>",
1536
+ "<SPECIAL_524>",
1537
+ "<SPECIAL_525>",
1538
+ "<SPECIAL_526>",
1539
+ "<SPECIAL_527>",
1540
+ "<SPECIAL_528>",
1541
+ "<SPECIAL_529>",
1542
+ "<SPECIAL_530>",
1543
+ "<SPECIAL_531>",
1544
+ "<SPECIAL_532>",
1545
+ "<SPECIAL_533>",
1546
+ "<SPECIAL_534>",
1547
+ "<SPECIAL_535>",
1548
+ "<SPECIAL_536>",
1549
+ "<SPECIAL_537>",
1550
+ "<SPECIAL_538>",
1551
+ "<SPECIAL_539>",
1552
+ "<SPECIAL_540>",
1553
+ "<SPECIAL_541>",
1554
+ "<SPECIAL_542>",
1555
+ "<SPECIAL_543>",
1556
+ "<SPECIAL_544>",
1557
+ "<SPECIAL_545>",
1558
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1559
+ "<SPECIAL_547>",
1560
+ "<SPECIAL_548>",
1561
+ "<SPECIAL_549>",
1562
+ "<SPECIAL_550>",
1563
+ "<SPECIAL_551>",
1564
+ "<SPECIAL_552>",
1565
+ "<SPECIAL_553>",
1566
+ "<SPECIAL_554>",
1567
+ "<SPECIAL_555>",
1568
+ "<SPECIAL_556>",
1569
+ "<SPECIAL_557>",
1570
+ "<SPECIAL_558>",
1571
+ "<SPECIAL_559>",
1572
+ "<SPECIAL_560>",
1573
+ "<SPECIAL_561>",
1574
+ "<SPECIAL_562>",
1575
+ "<SPECIAL_563>",
1576
+ "<SPECIAL_564>",
1577
+ "<SPECIAL_565>",
1578
+ "<SPECIAL_566>",
1579
+ "<SPECIAL_567>",
1580
+ "<SPECIAL_568>",
1581
+ "<SPECIAL_569>",
1582
+ "<SPECIAL_570>",
1583
+ "<SPECIAL_571>",
1584
+ "<SPECIAL_572>",
1585
+ "<SPECIAL_573>",
1586
+ "<SPECIAL_574>",
1587
+ "<SPECIAL_575>",
1588
+ "<SPECIAL_576>",
1589
+ "<SPECIAL_577>",
1590
+ "<SPECIAL_578>",
1591
+ "<SPECIAL_579>",
1592
+ "<SPECIAL_580>",
1593
+ "<SPECIAL_581>",
1594
+ "<SPECIAL_582>",
1595
+ "<SPECIAL_583>",
1596
+ "<SPECIAL_584>",
1597
+ "<SPECIAL_585>",
1598
+ "<SPECIAL_586>",
1599
+ "<SPECIAL_587>",
1600
+ "<SPECIAL_588>",
1601
+ "<SPECIAL_589>",
1602
+ "<SPECIAL_590>",
1603
+ "<SPECIAL_591>",
1604
+ "<SPECIAL_592>",
1605
+ "<SPECIAL_593>",
1606
+ "<SPECIAL_594>",
1607
+ "<SPECIAL_595>",
1608
+ "<SPECIAL_596>",
1609
+ "<SPECIAL_597>",
1610
+ "<SPECIAL_598>",
1611
+ "<SPECIAL_599>",
1612
+ "<SPECIAL_600>",
1613
+ "<SPECIAL_601>",
1614
+ "<SPECIAL_602>",
1615
+ "<SPECIAL_603>",
1616
+ "<SPECIAL_604>",
1617
+ "<SPECIAL_605>",
1618
+ "<SPECIAL_606>",
1619
+ "<SPECIAL_607>",
1620
+ "<SPECIAL_608>",
1621
+ "<SPECIAL_609>",
1622
+ "<SPECIAL_610>",
1623
+ "<SPECIAL_611>",
1624
+ "<SPECIAL_612>",
1625
+ "<SPECIAL_613>",
1626
+ "<SPECIAL_614>",
1627
+ "<SPECIAL_615>",
1628
+ "<SPECIAL_616>",
1629
+ "<SPECIAL_617>",
1630
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1631
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1632
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1633
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1634
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1636
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1637
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1640
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1641
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1642
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1643
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1645
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1646
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1647
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1648
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1649
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1650
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1651
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1652
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1653
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1654
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1655
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1656
+ "<SPECIAL_644>",
1657
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1658
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1659
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1660
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1661
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1662
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1663
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1664
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1665
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1666
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1667
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1668
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1669
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1670
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1671
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1672
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1673
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1674
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1675
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1676
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1677
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1678
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1679
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1680
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1681
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1682
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1683
+ "<SPECIAL_671>",
1684
+ "<SPECIAL_672>",
1685
+ "<SPECIAL_673>",
1686
+ "<SPECIAL_674>",
1687
+ "<SPECIAL_675>",
1688
+ "<SPECIAL_676>",
1689
+ "<SPECIAL_677>",
1690
+ "<SPECIAL_678>",
1691
+ "<SPECIAL_679>",
1692
+ "<SPECIAL_680>",
1693
+ "<SPECIAL_681>",
1694
+ "<SPECIAL_682>",
1695
+ "<SPECIAL_683>",
1696
+ "<SPECIAL_684>",
1697
+ "<SPECIAL_685>",
1698
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1699
+ "<SPECIAL_687>",
1700
+ "<SPECIAL_688>",
1701
+ "<SPECIAL_689>",
1702
+ "<SPECIAL_690>",
1703
+ "<SPECIAL_691>",
1704
+ "<SPECIAL_692>",
1705
+ "<SPECIAL_693>",
1706
+ "<SPECIAL_694>",
1707
+ "<SPECIAL_695>",
1708
+ "<SPECIAL_696>",
1709
+ "<SPECIAL_697>",
1710
+ "<SPECIAL_698>",
1711
+ "<SPECIAL_699>",
1712
+ "<SPECIAL_700>",
1713
+ "<SPECIAL_701>",
1714
+ "<SPECIAL_702>",
1715
+ "<SPECIAL_703>",
1716
+ "<SPECIAL_704>",
1717
+ "<SPECIAL_705>",
1718
+ "<SPECIAL_706>",
1719
+ "<SPECIAL_707>",
1720
+ "<SPECIAL_708>",
1721
+ "<SPECIAL_709>",
1722
+ "<SPECIAL_710>",
1723
+ "<SPECIAL_711>",
1724
+ "<SPECIAL_712>",
1725
+ "<SPECIAL_713>",
1726
+ "<SPECIAL_714>",
1727
+ "<SPECIAL_715>",
1728
+ "<SPECIAL_716>",
1729
+ "<SPECIAL_717>",
1730
+ "<SPECIAL_718>",
1731
+ "<SPECIAL_719>",
1732
+ "<SPECIAL_720>",
1733
+ "<SPECIAL_721>",
1734
+ "<SPECIAL_722>",
1735
+ "<SPECIAL_723>",
1736
+ "<SPECIAL_724>",
1737
+ "<SPECIAL_725>",
1738
+ "<SPECIAL_726>",
1739
+ "<SPECIAL_727>",
1740
+ "<SPECIAL_728>",
1741
+ "<SPECIAL_729>",
1742
+ "<SPECIAL_730>",
1743
+ "<SPECIAL_731>",
1744
+ "<SPECIAL_732>",
1745
+ "<SPECIAL_733>",
1746
+ "<SPECIAL_734>",
1747
+ "<SPECIAL_735>",
1748
+ "<SPECIAL_736>",
1749
+ "<SPECIAL_737>",
1750
+ "<SPECIAL_738>",
1751
+ "<SPECIAL_739>",
1752
+ "<SPECIAL_740>",
1753
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1754
+ "<SPECIAL_742>",
1755
+ "<SPECIAL_743>",
1756
+ "<SPECIAL_744>",
1757
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1758
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1759
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1760
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1761
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1762
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1763
+ "<SPECIAL_751>",
1764
+ "<SPECIAL_752>",
1765
+ "<SPECIAL_753>",
1766
+ "<SPECIAL_754>",
1767
+ "<SPECIAL_755>",
1768
+ "<SPECIAL_756>",
1769
+ "<SPECIAL_757>",
1770
+ "<SPECIAL_758>",
1771
+ "<SPECIAL_759>",
1772
+ "<SPECIAL_760>",
1773
+ "<SPECIAL_761>",
1774
+ "<SPECIAL_762>",
1775
+ "<SPECIAL_763>",
1776
+ "<SPECIAL_764>",
1777
+ "<SPECIAL_765>",
1778
+ "<SPECIAL_766>",
1779
+ "<SPECIAL_767>",
1780
+ "<SPECIAL_768>",
1781
+ "<SPECIAL_769>",
1782
+ "<SPECIAL_770>",
1783
+ "<SPECIAL_771>",
1784
+ "<SPECIAL_772>",
1785
+ "<SPECIAL_773>",
1786
+ "<SPECIAL_774>",
1787
+ "<SPECIAL_775>",
1788
+ "<SPECIAL_776>",
1789
+ "<SPECIAL_777>",
1790
+ "<SPECIAL_778>",
1791
+ "<SPECIAL_779>",
1792
+ "<SPECIAL_780>",
1793
+ "<SPECIAL_781>",
1794
+ "<SPECIAL_782>",
1795
+ "<SPECIAL_783>",
1796
+ "<SPECIAL_784>",
1797
+ "<SPECIAL_785>",
1798
+ "<SPECIAL_786>",
1799
+ "<SPECIAL_787>",
1800
+ "<SPECIAL_788>",
1801
+ "<SPECIAL_789>",
1802
+ "<SPECIAL_790>",
1803
+ "<SPECIAL_791>",
1804
+ "<SPECIAL_792>",
1805
+ "<SPECIAL_793>",
1806
+ "<SPECIAL_794>",
1807
+ "<SPECIAL_795>",
1808
+ "<SPECIAL_796>",
1809
+ "<SPECIAL_797>",
1810
+ "<SPECIAL_798>",
1811
+ "<SPECIAL_799>",
1812
+ "<SPECIAL_800>",
1813
+ "<SPECIAL_801>",
1814
+ "<SPECIAL_802>",
1815
+ "<SPECIAL_803>",
1816
+ "<SPECIAL_804>",
1817
+ "<SPECIAL_805>",
1818
+ "<SPECIAL_806>",
1819
+ "<SPECIAL_807>",
1820
+ "<SPECIAL_808>",
1821
+ "<SPECIAL_809>",
1822
+ "<SPECIAL_810>",
1823
+ "<SPECIAL_811>",
1824
+ "<SPECIAL_812>",
1825
+ "<SPECIAL_813>",
1826
+ "<SPECIAL_814>",
1827
+ "<SPECIAL_815>",
1828
+ "<SPECIAL_816>",
1829
+ "<SPECIAL_817>",
1830
+ "<SPECIAL_818>",
1831
+ "<SPECIAL_819>",
1832
+ "<SPECIAL_820>",
1833
+ "<SPECIAL_821>",
1834
+ "<SPECIAL_822>",
1835
+ "<SPECIAL_823>",
1836
+ "<SPECIAL_824>",
1837
+ "<SPECIAL_825>",
1838
+ "<SPECIAL_826>",
1839
+ "<SPECIAL_827>",
1840
+ "<SPECIAL_828>",
1841
+ "<SPECIAL_829>",
1842
+ "<SPECIAL_830>",
1843
+ "<SPECIAL_831>",
1844
+ "<SPECIAL_832>",
1845
+ "<SPECIAL_833>",
1846
+ "<SPECIAL_834>",
1847
+ "<SPECIAL_835>",
1848
+ "<SPECIAL_836>",
1849
+ "<SPECIAL_837>",
1850
+ "<SPECIAL_838>",
1851
+ "<SPECIAL_839>",
1852
+ "<SPECIAL_840>",
1853
+ "<SPECIAL_841>",
1854
+ "<SPECIAL_842>",
1855
+ "<SPECIAL_843>",
1856
+ "<SPECIAL_844>",
1857
+ "<SPECIAL_845>",
1858
+ "<SPECIAL_846>",
1859
+ "<SPECIAL_847>",
1860
+ "<SPECIAL_848>",
1861
+ "<SPECIAL_849>",
1862
+ "<SPECIAL_850>",
1863
+ "<SPECIAL_851>",
1864
+ "<SPECIAL_852>",
1865
+ "<SPECIAL_853>",
1866
+ "<SPECIAL_854>",
1867
+ "<SPECIAL_855>",
1868
+ "<SPECIAL_856>",
1869
+ "<SPECIAL_857>",
1870
+ "<SPECIAL_858>",
1871
+ "<SPECIAL_859>",
1872
+ "<SPECIAL_860>",
1873
+ "<SPECIAL_861>",
1874
+ "<SPECIAL_862>",
1875
+ "<SPECIAL_863>",
1876
+ "<SPECIAL_864>",
1877
+ "<SPECIAL_865>",
1878
+ "<SPECIAL_866>",
1879
+ "<SPECIAL_867>",
1880
+ "<SPECIAL_868>",
1881
+ "<SPECIAL_869>",
1882
+ "<SPECIAL_870>",
1883
+ "<SPECIAL_871>",
1884
+ "<SPECIAL_872>",
1885
+ "<SPECIAL_873>",
1886
+ "<SPECIAL_874>",
1887
+ "<SPECIAL_875>",
1888
+ "<SPECIAL_876>",
1889
+ "<SPECIAL_877>",
1890
+ "<SPECIAL_878>",
1891
+ "<SPECIAL_879>",
1892
+ "<SPECIAL_880>",
1893
+ "<SPECIAL_881>",
1894
+ "<SPECIAL_882>",
1895
+ "<SPECIAL_883>",
1896
+ "<SPECIAL_884>",
1897
+ "<SPECIAL_885>",
1898
+ "<SPECIAL_886>",
1899
+ "<SPECIAL_887>",
1900
+ "<SPECIAL_888>",
1901
+ "<SPECIAL_889>",
1902
+ "<SPECIAL_890>",
1903
+ "<SPECIAL_891>",
1904
+ "<SPECIAL_892>",
1905
+ "<SPECIAL_893>",
1906
+ "<SPECIAL_894>",
1907
+ "<SPECIAL_895>",
1908
+ "<SPECIAL_896>",
1909
+ "<SPECIAL_897>",
1910
+ "<SPECIAL_898>",
1911
+ "<SPECIAL_899>",
1912
+ "<SPECIAL_900>",
1913
+ "<SPECIAL_901>",
1914
+ "<SPECIAL_902>",
1915
+ "<SPECIAL_903>",
1916
+ "<SPECIAL_904>",
1917
+ "<SPECIAL_905>",
1918
+ "<SPECIAL_906>",
1919
+ "<SPECIAL_907>",
1920
+ "<SPECIAL_908>",
1921
+ "<SPECIAL_909>",
1922
+ "<SPECIAL_910>",
1923
+ "<SPECIAL_911>",
1924
+ "<SPECIAL_912>",
1925
+ "<SPECIAL_913>",
1926
+ "<SPECIAL_914>",
1927
+ "<SPECIAL_915>",
1928
+ "<SPECIAL_916>",
1929
+ "<SPECIAL_917>",
1930
+ "<SPECIAL_918>",
1931
+ "<SPECIAL_919>",
1932
+ "<SPECIAL_920>",
1933
+ "<SPECIAL_921>",
1934
+ "<SPECIAL_922>",
1935
+ "<SPECIAL_923>",
1936
+ "<SPECIAL_924>",
1937
+ "<SPECIAL_925>",
1938
+ "<SPECIAL_926>",
1939
+ "<SPECIAL_927>",
1940
+ "<SPECIAL_928>",
1941
+ "<SPECIAL_929>",
1942
+ "<SPECIAL_930>",
1943
+ "<SPECIAL_931>",
1944
+ "<SPECIAL_932>",
1945
+ "<SPECIAL_933>",
1946
+ "<SPECIAL_934>",
1947
+ "<SPECIAL_935>",
1948
+ "<SPECIAL_936>",
1949
+ "<SPECIAL_937>",
1950
+ "<SPECIAL_938>",
1951
+ "<SPECIAL_939>",
1952
+ "<SPECIAL_940>",
1953
+ "<SPECIAL_941>",
1954
+ "<SPECIAL_942>",
1955
+ "<SPECIAL_943>",
1956
+ "<SPECIAL_944>",
1957
+ "<SPECIAL_945>",
1958
+ "<SPECIAL_946>",
1959
+ "<SPECIAL_947>",
1960
+ "<SPECIAL_948>",
1961
+ "<SPECIAL_949>",
1962
+ "<SPECIAL_950>",
1963
+ "<SPECIAL_951>",
1964
+ "<SPECIAL_952>",
1965
+ "<SPECIAL_953>",
1966
+ "<SPECIAL_954>",
1967
+ "<SPECIAL_955>",
1968
+ "<SPECIAL_956>",
1969
+ "<SPECIAL_957>",
1970
+ "<SPECIAL_958>",
1971
+ "<SPECIAL_959>",
1972
+ "<SPECIAL_960>",
1973
+ "<SPECIAL_961>",
1974
+ "<SPECIAL_962>",
1975
+ "<SPECIAL_963>",
1976
+ "<SPECIAL_964>",
1977
+ "<SPECIAL_965>",
1978
+ "<SPECIAL_966>",
1979
+ "<SPECIAL_967>",
1980
+ "<SPECIAL_968>",
1981
+ "<SPECIAL_969>",
1982
+ "<SPECIAL_970>",
1983
+ "<SPECIAL_971>",
1984
+ "<SPECIAL_972>",
1985
+ "<SPECIAL_973>",
1986
+ "<SPECIAL_974>",
1987
+ "<SPECIAL_975>",
1988
+ "<SPECIAL_976>",
1989
+ "<SPECIAL_977>",
1990
+ "<SPECIAL_978>",
1991
+ "<SPECIAL_979>",
1992
+ "<SPECIAL_980>",
1993
+ "<SPECIAL_981>",
1994
+ "<SPECIAL_982>",
1995
+ "<SPECIAL_983>",
1996
+ "<SPECIAL_984>",
1997
+ "<SPECIAL_985>",
1998
+ "<SPECIAL_986>",
1999
+ "<SPECIAL_987>",
2000
+ "<SPECIAL_988>",
2001
+ "<SPECIAL_989>",
2002
+ "<SPECIAL_990>",
2003
+ "<SPECIAL_991>",
2004
+ "<SPECIAL_992>",
2005
+ "<SPECIAL_993>",
2006
+ "<SPECIAL_994>",
2007
+ "<SPECIAL_995>",
2008
+ "<SPECIAL_996>",
2009
+ "<SPECIAL_997>",
2010
+ "<SPECIAL_998>",
2011
+ "<SPECIAL_999>"
2012
+ ],
2013
+ "is_local": false,
2014
+ "model_max_length": 262144,
2015
+ "model_specific_special_tokens": {},
2016
+ "pad_token": "<pad>",
2017
+ "padding_side": "left",
2018
+ "processor_class": "PixtralProcessor",
2019
+ "tokenizer_class": "LlamaTokenizer",
2020
+ "unk_token": "<unk>",
2021
+ "use_default_system_prompt": false,
2022
+ "chat_template": "{#- Default system message if no system prompt is passed. #}\n{%- set default_system_message = '# HOW YOU SHOULD THINK AND ANSWER\\n\\nFirst draft your thinking process (inner monologue) until you arrive at a response. Format your response using Markdown, and use LaTeX for any mathematical equations. Write both your thoughts and the response in the same language as the input.\\n\\nYour thinking process must follow the template below:[THINK]Your thoughts or/and draft, like working through an exercise on scratch paper. Be as casual and as long as you want until you are confident to generate the response to the user.[/THINK]Here, provide a self-contained response.' %}\n\n{#- Begin of sequence token. #}\n{{- bos_token }}\n\n{#- Handle system prompt if it exists. #}\n{#- System prompt supports text content or text and thinking chunks. #}\n{%- if messages[0]['role'] == 'system' %}\n {{- '[SYSTEM_PROMPT]' -}}\n {%- if messages[0]['content'] is string %}\n {{- messages[0]['content'] -}}\n {%- else %} \n {%- for block in messages[0]['content'] %}\n {%- if block['type'] == 'text' %}\n {{- block['text'] }}\n {%- elif block['type'] == 'thinking' %}\n {{- '[THINK]' + block['thinking'] + '[/THINK]' }}\n {%- else %}\n {{- raise_exception('Only text and thinking chunks are supported in system message contents.') }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '[/SYSTEM_PROMPT]' -}}\n {%- set loop_messages = messages[1:] %}\n{%- else %}\n {%- set loop_messages = messages %}\n {%- if default_system_message != '' %}\n {{- '[SYSTEM_PROMPT]' + default_system_message + '[/SYSTEM_PROMPT]' }}\n {%- endif %}\n{%- endif %}\n\n\n{#- Tools definition #}\n{%- set tools_definition = '' %}\n{%- set has_tools = false %}\n{%- if tools is defined and tools is not none and tools|length > 0 %}\n {%- set has_tools = true %}\n {%- set tools_definition = '[AVAILABLE_TOOLS]' + (tools| tojson) + '[/AVAILABLE_TOOLS]' %}\n {{- tools_definition }}\n{%- endif %}\n\n{#- Checks for alternating user/assistant messages. #}\n{%- set ns = namespace(index=0) %}\n{%- for message in loop_messages %}\n {%- if message.role == 'user' or (message.role == 'assistant' and (message.tool_calls is not defined or message.tool_calls is none or message.tool_calls | length == 0)) %}\n {%- if (message['role'] == 'user') != (ns.index % 2 == 0) %}\n {{- raise_exception('After the optional system message, conversation roles must alternate user and assistant roles except for tool calls and results.') }}\n {%- endif %}\n {%- set ns.index = ns.index + 1 %}\n {%- endif %}\n{%- endfor %}\n\n{#- Handle conversation messages. #}\n{%- for message in loop_messages %}\n\n {#- User messages supports text content or text and image chunks. #}\n {%- if message['role'] == 'user' %}\n {%- if message['content'] is string %}\n {{- '[INST]' + message['content'] + '[/INST]' }}\n {%- elif message['content'] | length > 0 %}\n {{- '[INST]' }}\n {%- if message['content'] | length == 2 %}\n {%- set blocks = message['content'] | sort(attribute='type') %}\n {%- else %}\n {%- set blocks = message['content'] %}\n {%- endif %}\n {%- for block in blocks %}\n {%- if block['type'] == 'text' %}\n {{- block['text'] }}\n {%- elif block['type'] in ['image', 'image_url'] %}\n {{- '[IMG]' }}\n {%- else %}\n {{- raise_exception('Only text, image and image_url chunks are supported in user message content.') }}\n {%- endif %}\n {%- endfor %}\n {{- '[/INST]' }}\n {%- else %}\n {{- raise_exception('User message must have a string or a list of chunks in content') }}\n {%- endif %}\n\n {#- Assistant messages supports text content or text, image and thinking chunks. #}\n {%- elif message['role'] == 'assistant' %}\n {%- if (message['content'] is none or message['content'] == '' or message['content']|length == 0) and (message['tool_calls'] is not defined or message['tool_calls'] is none or message['tool_calls']|length == 0) %}\n {{- raise_exception('Assistant message must have a string or a list of chunks in content or a list of tool calls.') }}\n {%- endif %}\n\n {%- if message['content'] is string and message['content'] != '' %}\n {{- message['content'] }}\n {%- elif message['content'] | length > 0 %}\n {%- for block in message['content'] %}\n {%- if block['type'] == 'text' %}\n {{- block['text'] }}\n {%- elif block['type'] == 'thinking' %}\n {{- '[THINK]' + block['thinking'] + '[/THINK]' }}\n {%- else %}\n {{- raise_exception('Only text and thinking chunks are supported in assistant message contents.') }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n \n {%- if message['tool_calls'] is defined and message['tool_calls'] is not none and message['tool_calls']|length > 0 %}\n {%- for tool in message['tool_calls'] %}\n {{- '[TOOL_CALLS]' }}\n {%- set name = tool['function']['name'] %}\n {%- set arguments = tool['function']['arguments'] %}\n {%- if arguments is not string %}\n {%- set arguments = arguments|tojson|safe %}\n {%- elif arguments == '' %}\n {%- set arguments = '{}' %}\n {%- endif %}\n {{- name + '[ARGS]' + arguments }}\n {%- endfor %}\n {%- endif %}\n\n {{- eos_token }}\n\n {#- Tool messages only supports text content. #}\n {%- elif message['role'] == 'tool' %}\n {{- '[TOOL_RESULTS]' + message['content']|string + '[/TOOL_RESULTS]' }}\n\n {#- Raise exception for unsupported roles. #}\n {%- else %}\n {{- raise_exception('Only user, assistant and tool roles are supported, got ' + message['role'] + '.') }}\n {%- endif %}\n{%- endfor %}\n"
2023
+ }