Instructions to use lmstudio-community/granite-4.0-h-tiny-MLX-6bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use lmstudio-community/granite-4.0-h-tiny-MLX-6bit with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="lmstudio-community/granite-4.0-h-tiny-MLX-6bit")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM

tokenizer = AutoTokenizer.from_pretrained("lmstudio-community/granite-4.0-h-tiny-MLX-6bit")
model = AutoModelForMultimodalLM.from_pretrained("lmstudio-community/granite-4.0-h-tiny-MLX-6bit")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

MLX

How to use lmstudio-community/granite-4.0-h-tiny-MLX-6bit with MLX:

# Make sure mlx-lm is installed
# pip install --upgrade mlx-lm

# Generate text with mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("lmstudio-community/granite-4.0-h-tiny-MLX-6bit")

prompt = "Write a story about Einstein"
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
    messages, add_generation_prompt=True
)

text = generate(model, tokenizer, prompt=prompt, verbose=True)

Notebooks
Google Colab
Kaggle
Local Apps Settings
LM Studio

vLLM

How to use lmstudio-community/granite-4.0-h-tiny-MLX-6bit with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "lmstudio-community/granite-4.0-h-tiny-MLX-6bit"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "lmstudio-community/granite-4.0-h-tiny-MLX-6bit",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/lmstudio-community/granite-4.0-h-tiny-MLX-6bit

SGLang

How to use lmstudio-community/granite-4.0-h-tiny-MLX-6bit with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "lmstudio-community/granite-4.0-h-tiny-MLX-6bit" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "lmstudio-community/granite-4.0-h-tiny-MLX-6bit",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "lmstudio-community/granite-4.0-h-tiny-MLX-6bit" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "lmstudio-community/granite-4.0-h-tiny-MLX-6bit",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

How to use lmstudio-community/granite-4.0-h-tiny-MLX-6bit with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "lmstudio-community/granite-4.0-h-tiny-MLX-6bit"

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "mlx-lm": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "lmstudio-community/granite-4.0-h-tiny-MLX-6bit"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use lmstudio-community/granite-4.0-h-tiny-MLX-6bit with Hermes Agent:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "lmstudio-community/granite-4.0-h-tiny-MLX-6bit"

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default lmstudio-community/granite-4.0-h-tiny-MLX-6bit

Run Hermes

hermes

MLX LM

How to use lmstudio-community/granite-4.0-h-tiny-MLX-6bit with MLX LM:

Generate or start a chat session

# Install MLX LM
uv tool install mlx-lm
# Interactive chat REPL
mlx_lm.chat --model "lmstudio-community/granite-4.0-h-tiny-MLX-6bit"

Run an OpenAI-compatible server

# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "lmstudio-community/granite-4.0-h-tiny-MLX-6bit"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
   -H "Content-Type: application/json" \
   --data '{
     "model": "lmstudio-community/granite-4.0-h-tiny-MLX-6bit",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'

Docker Model Runner
How to use lmstudio-community/granite-4.0-h-tiny-MLX-6bit with Docker Model Runner:
```
docker model run hf.co/lmstudio-community/granite-4.0-h-tiny-MLX-6bit
```

lmmy commited on Sep 29, 2025

Commit

bae7f3f

verified ·

1 Parent(s): 038959e

Add files using upload-large-folder tool

Browse files

Files changed (12) hide show

README.md +28 -0
chat_template.jinja +114 -0
config.json +419 -0
generation_config.json +7 -0
merges.txt +0 -0
model-00001-of-00002.safetensors +3 -0
model-00002-of-00002.safetensors +3 -0
model.safetensors.index.json +0 -0
special_tokens_map.json +30 -0
tokenizer.json +0 -0
tokenizer_config.json +784 -0
vocab.json +0 -0

README.md ADDED Viewed

	@@ -0,0 +1,28 @@

+---
+license: apache-2.0
+library_name: transformers
+tags:
+- language
+- granite-4.0
+- mlx
+base_model: ibm-granite/granite-4.0-h-tiny
+---
+## 💫 Community Model> granite-4.0-h-tiny by ibm-granite
+_👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)_.
+**Model creator**: [ibm-granite](https://huggingface.co/ibm-granite)<br>
+**Original model**: [granite-4.0-h-tiny](https://huggingface.co/ibm-granite/granite-4.0-h-tiny)<br>
+**MLX quantization**: provided by [LM Studio team](https://x.com/lmstudio) using [mlx_lm](https://github.com/ml-explore/mlx-lm)<br>
+## Technical Details
+6-bit quantized version of granite-4.0-h-tiny using MLX, optimized for Apple Silicon.
+## Special thanks
+🙏 Special thanks to the [Apple Machine Learning Research](https://github.com/ml-explore) team for creating [MLX](https://github.com/ml-explore/mlx).
+## Disclaimers
+LM Studio is not the creator, originator, or owner of any Model featured in the Community Model Program. Each Community Model is created and provided by third parties. LM Studio does not endorse, support, represent or guarantee the completeness, truthfulness, accuracy, or reliability of any Community Model. You understand that Community Models can produce content that might be offensive, harmful, inaccurate or otherwise inappropriate, or deceptive. Each Community Model is the sole responsibility of the person or entity who originated such Model. LM Studio may not monitor or control the Community Models and cannot, and does not, take responsibility for any such Model. LM Studio disclaims all warranties or guarantees about the accuracy, reliability or benefits of the Community Models. LM Studio further disclaims any warranty that the Community Model will meet your requirements, be secure, uninterrupted or available at any time or location, or error-free, viruses-free, or that any errors will be corrected, or otherwise. You will be solely responsible for any damage resulting from your use of or access to the Community Models, your downloading of any Community Model, or use of any other Community Model provided by or through LM Studio.

chat_template.jinja ADDED Viewed

	@@ -0,0 +1,114 @@

+{%- set tools_system_message_prefix = 'You are a helpful assistant with access to the following tools. You may call one or more tools to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>'  %}
+{%- set tools_system_message_suffix = '\n</tools>\n\nFor each tool call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call>. If a tool does not exist in the provided list of tools, notify the user that you do not have the ability to fulfill the request.' %}
+{%- set documents_system_message_prefix = 'You are a helpful assistant with access to the following documents. You may use one or more documents to assist with the user query.\n\nYou are given a list of documents within <documents></documents> XML tags:\n<documents>' %}
+{%- set documents_system_message_suffix = '\n</documents>\n\nWrite the response to the user\'s input by strictly aligning with the facts in the provided documents. If the information needed to answer the question is not available in the documents, inform the user that the question cannot be answered based on the available data.' %}
+{%- if available_tools is defined and available_tools %}
+    {%- set tools = available_tools %}
+{%- endif %}
+{%- set ns = namespace(tools_system_message=tools_system_message_prefix,
+                       documents_system_message=documents_system_message_prefix,
+                       system_message=''
+                       ) %}
+{%- if tools %}
+    {%- for tool in tools %}
+        {%- set ns.tools_system_message = ns.tools_system_message + '\n' + (tool | tojson) %}
+    {%- endfor %}
+    {%- set ns.tools_system_message = ns.tools_system_message + tools_system_message_suffix %}
+{%- else %}
+    {%- set ns.tools_system_message = '' %}
+{%- endif %}
+{%- if documents %}
+    {%- for document in documents %}
+        {%- set ns.documents_system_message = ns.documents_system_message + '\n' + (document | tojson) %}
+    {%- endfor %}
+    {%- set ns.documents_system_message = ns.documents_system_message + documents_system_message_suffix %}
+{%- else %}
+    {%- set ns.documents_system_message = '' %}
+{%- endif %}
+{%- if messages[0].role == 'system' %}
+    {%- if messages[0].content is string %}
+        {%- set ns.system_message = messages[0].content %}
+    {%- elif messages[0].content is iterable %}
+        {%- for entry in messages[0].content %}
+            {%- if entry.type== 'text' %}
+                {%- if ns.system_message != '' %}
+                    {%- set ns.system_message = ns.system_message + '\n' %}
+                {%- endif %}
+                {%- set ns.system_message = ns.system_message + entry.text %}
+            {%- endif %}
+        {%- endfor %}
+    {%- endif %}
+    {%- if tools and documents %}
+        {%- set ns.system_message = ns.system_message + '\n\n' +  ns.tools_system_message + '\n\n' + ns.documents_system_message %}
+    {%- elif tools %}
+        {%- set ns.system_message = ns.system_message + '\n\n' + ns.tools_system_message %}
+    {%- elif documents %}
+        {%- set ns.system_message = ns.system_message + '\n\n' + ns.documents_system_message %}
+    {%- endif %}
+{%- else %}
+    {%- if tools and documents %}
+        {%- set ns.system_message = ns.tools_system_message + '\n\n' + ns.documents_system_message  %}
+    {%- elif tools %}
+        {%- set ns.system_message = ns.tools_system_message %}
+    {%- elif documents %}
+        {%- set ns.system_message = ns.documents_system_message %}
+    {%- endif %}
+{%- endif %}
+{%- if ns.system_message %}
+    {{- '<|start_of_role|>system<|end_of_role|>' + ns.system_message + '<|end_of_text|>\n' }}
+{%- endif %}
+{%- for message in messages %}
+    {%- set content = namespace(val='') %}
+    {%- if message.content is string %}
+        {%- set content.val = message.content %}
+    {%- else %}
+        {%- if message.content is iterable %}
+            {%- for entry in message.content %}
+                {%- if entry.type== 'text' %}
+                    {%- if content.val != '' %}
+                        {%- set content.val = content.val + '\n' %}
+                    {%- endif %}
+                    {%- set content.val = content.val + entry.text %}
+                {%- endif %}
+            {%- endfor %}
+        {%- endif %}
+    {%- endif %}
+    {%- if (message.role == 'user') or (message.role == 'system' and not loop.first) %}
+        {{- '<|start_of_role|>' + message.role + '<|end_of_role|>' + content.val + '<|end_of_text|>\n' }}
+    {%- elif message.role == 'assistant' %}
+        {{- '<|start_of_role|>' + message.role + '<|end_of_role|>' + content.val }}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content.val) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|end_of_text|>\n' }}
+    {%- elif message.role == 'tool' %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != 'tool') %}
+            {{- '<|start_of_role|>user<|end_of_role|>' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- content.val }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != 'tool') %}
+            {{- '<|end_of_text|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|start_of_role|>assistant<|end_of_role|>' }}
+{%- endif %}

config.json ADDED Viewed

	@@ -0,0 +1,419 @@

+{
+    "architectures": [
+        "GraniteMoeHybridForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "attention_multiplier": 0.0078125,
+    "bos_token_id": 100257,
+    "embedding_multiplier": 12,
+    "eos_token_id": 100257,
+    "hidden_act": "silu",
+    "hidden_size": 1536,
+    "initializer_range": 0.1,
+    "intermediate_size": 512,
+    "layer_types": [
+        "mamba",
+        "mamba",
+        "mamba",
+        "mamba",
+        "mamba",
+        "attention",
+        "mamba",
+        "mamba",
+        "mamba",
+        "mamba",
+        "mamba",
+        "mamba",
+        "mamba",
+        "mamba",
+        "mamba",
+        "attention",
+        "mamba",
+        "mamba",
+        "mamba",
+        "mamba",
+        "mamba",
+        "mamba",
+        "mamba",
+        "mamba",
+        "mamba",
+        "attention",
+        "mamba",
+        "mamba",
+        "mamba",
+        "mamba",
+        "mamba",
+        "mamba",
+        "mamba",
+        "mamba",
+        "mamba",
+        "attention",
+        "mamba",
+        "mamba",
+        "mamba",
+        "mamba"
+    ],
+    "logits_scaling": 6,
+    "mamba_chunk_size": 256,
+    "mamba_conv_bias": true,
+    "mamba_d_conv": 4,
+    "mamba_d_head": 64,
+    "mamba_d_state": 128,
+    "mamba_expand": 2,
+    "mamba_n_groups": 1,
+    "mamba_n_heads": 48,
+    "mamba_proj_bias": false,
+    "max_position_embeddings": 131072,
+    "model_type": "granitemoehybrid",
+    "normalization_function": "rmsnorm",
+    "num_attention_heads": 12,
+    "num_experts_per_tok": 6,
+    "num_hidden_layers": 40,
+    "num_key_value_heads": 4,
+    "num_local_experts": 64,
+    "output_router_logits": false,
+    "pad_token_id": 100256,
+    "position_embedding_type": "nope",
+    "quantization": {
+        "group_size": 64,
+        "bits": 6,
+        "mode": "affine",
+        "model.layers.0.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.1.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.2.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.3.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.4.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.5.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.6.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.7.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.8.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.9.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.10.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.11.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.12.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.13.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.14.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.15.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.16.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.17.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.18.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.19.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.20.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.21.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.22.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.23.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.24.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.25.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.26.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.27.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.28.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.29.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.30.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.31.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.32.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.33.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.34.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.35.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.36.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.37.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.38.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.39.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        }
+    },
+    "quantization_config": {
+        "group_size": 64,
+        "bits": 6,
+        "mode": "affine",
+        "model.layers.0.block_sparse_moe.router.layer": {
+            "group_size": 64,
+            "bits": 8
+        },
+        "model.layers.1.block_sparse_moe.router.layer": {
+            "group_size": 64,
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+      "content": "<|unused_57|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100327": {
+      "content": "<|unused_58|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100328": {
+      "content": "<|unused_59|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100329": {
+      "content": "<|unused_60|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100330": {
+      "content": "<|unused_61|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100331": {
+      "content": "<|unused_62|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100332": {
+      "content": "<|unused_63|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100333": {
+      "content": "<|unused_64|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100334": {
+      "content": "<|unused_65|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100335": {
+      "content": "<|unused_66|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100336": {
+      "content": "<|unused_67|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100337": {
+      "content": "<|unused_68|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100338": {
+      "content": "<|unused_69|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100339": {
+      "content": "<|unused_70|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100340": {
+      "content": "<|unused_71|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100341": {
+      "content": "<|unused_72|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100342": {
+      "content": "<|unused_73|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100343": {
+      "content": "<|unused_74|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100344": {
+      "content": "<|unused_75|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100345": {
+      "content": "<|unused_76|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100346": {
+      "content": "<|unused_77|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100347": {
+      "content": "<|unused_78|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100348": {
+      "content": "<|unused_79|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100349": {
+      "content": "<|unused_80|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100350": {
+      "content": "<|unused_81|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100351": {
+      "content": "<|unused_82|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|end_of_text|>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|end_of_text|>",
+  "extra_special_tokens": {},
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<|pad|>",
+  "padding_side": "left",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|unk|>",
+  "chat_template": "{%- set tools_system_message_prefix = 'You are a helpful assistant with access to the following tools. You may call one or more tools to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>'  %}\n{%- set tools_system_message_suffix = '\\n</tools>\\n\\nFor each tool call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call>. If a tool does not exist in the provided list of tools, notify the user that you do not have the ability to fulfill the request.' %}\n{%- set documents_system_message_prefix = 'You are a helpful assistant with access to the following documents. You may use one or more documents to assist with the user query.\\n\\nYou are given a list of documents within <documents></documents> XML tags:\\n<documents>' %}\n{%- set documents_system_message_suffix = '\\n</documents>\\n\\nWrite the response to the user\\'s input by strictly aligning with the facts in the provided documents. If the information needed to answer the question is not available in the documents, inform the user that the question cannot be answered based on the available data.' %}\n{%- if available_tools is defined and available_tools %}\n    {%- set tools = available_tools %}\n{%- endif %}\n{%- set ns = namespace(tools_system_message=tools_system_message_prefix,\n                       documents_system_message=documents_system_message_prefix,\n                       system_message=''\n                       ) %}\n{%- if tools %}\n    {%- for tool in tools %}\n        {%- set ns.tools_system_message = ns.tools_system_message + '\\n' + (tool | tojson) %}\n    {%- endfor %}\n    {%- set ns.tools_system_message = ns.tools_system_message + tools_system_message_suffix %}\n{%- else %}\n    {%- set ns.tools_system_message = '' %}\n{%- endif %}\n{%- if documents %}\n    {%- for document in documents %}\n        {%- set ns.documents_system_message = ns.documents_system_message + '\\n' + (document | tojson) %}\n    {%- endfor %}\n    {%- set ns.documents_system_message = ns.documents_system_message + documents_system_message_suffix %}\n{%- else %}\n    {%- set ns.documents_system_message = '' %}\n{%- endif %}\n{%- if messages[0].role == 'system' %}\n    {%- if messages[0].content is string %}\n        {%- set ns.system_message = messages[0].content %}\n    {%- elif messages[0].content is iterable %}\n        {%- for entry in messages[0].content %}\n            {%- if entry.type== 'text' %}\n                {%- if ns.system_message != '' %}\n                    {%- set ns.system_message = ns.system_message + '\\n' %}\n                {%- endif %}\n                {%- set ns.system_message = ns.system_message + entry.text %}\n            {%- endif %}\n        {%- endfor %}\n    {%- endif %}\n    {%- if tools and documents %}\n        {%- set ns.system_message = ns.system_message + '\\n\\n' +  ns.tools_system_message + '\\n\\n' + ns.documents_system_message %}\n    {%- elif tools %}\n        {%- set ns.system_message = ns.system_message + '\\n\\n' + ns.tools_system_message %}\n    {%- elif documents %}\n        {%- set ns.system_message = ns.system_message + '\\n\\n' + ns.documents_system_message %}\n    {%- endif %}\n{%- else %}\n    {%- if tools and documents %}\n        {%- set ns.system_message = ns.tools_system_message + '\\n\\n' + ns.documents_system_message  %}\n    {%- elif tools %}\n        {%- set ns.system_message = ns.tools_system_message %}\n    {%- elif documents %}\n        {%- set ns.system_message = ns.documents_system_message %}\n    {%- endif %}\n{%- endif %}\n{%- if ns.system_message %}\n    {{- '<|start_of_role|>system<|end_of_role|>' + ns.system_message + '<|end_of_text|>\\n' }}\n{%- endif %}\n{%- for message in messages %}\n    {%- set content = namespace(val='') %}\n    {%- if message.content is string %}\n        {%- set content.val = message.content %}\n    {%- else %}\n        {%- if message.content is iterable %}\n            {%- for entry in message.content %}\n                {%- if entry.type== 'text' %}\n                    {%- if content.val != '' %}\n                        {%- set content.val = content.val + '\\n' %}\n                    {%- endif %}\n                    {%- set content.val = content.val + entry.text %}\n                {%- endif %}\n            {%- endfor %}\n        {%- endif %}\n    {%- endif %}\n    {%- if (message.role == 'user') or (message.role == 'system' and not loop.first) %}\n        {{- '<|start_of_role|>' + message.role + '<|end_of_role|>' + content.val + '<|end_of_text|>\\n' }}\n    {%- elif message.role == 'assistant' %}\n        {{- '<|start_of_role|>' + message.role + '<|end_of_role|>' + content.val }}\n        {%- if message.tool_calls %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if (loop.first and content.val) or (not loop.first) %}\n                    {{- '\\n' }}\n                {%- endif %}\n                {%- if tool_call.function %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {{- '<tool_call>\\n{\"name\": \"' }}\n                {{- tool_call.name }}\n                {{- '\", \"arguments\": ' }}\n                {%- if tool_call.arguments is string %}\n                    {{- tool_call.arguments }}\n                {%- else %}\n                    {{- tool_call.arguments | tojson }}\n                {%- endif %}\n                {{- '}\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|end_of_text|>\\n' }}\n    {%- elif message.role == 'tool' %}\n        {%- if loop.first or (messages[loop.index0 - 1].role != 'tool') %}\n            {{- '<|start_of_role|>user<|end_of_role|>' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- content.val }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != 'tool') %}\n            {{- '<|end_of_text|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|start_of_role|>assistant<|end_of_role|>' }}\n{%- endif %}"
+}

vocab.json ADDED Viewed

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