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.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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README.md CHANGED
@@ -1,3 +1,105 @@
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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ language:
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+ - en
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+ base_model:
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+ - Qwen/Qwen3-Embedding-0.6B
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+ pipeline_tag: feature-extraction
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+ library_name: transformers
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+ ---
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+ # Qwen3-Embedding-0.6B-Q8
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+
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+ This repository contains an **8-bit quantized** version of `Qwen3-Embedding-0.6B` using **bitsandbytes**.
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+ The goal of this quantization is to reduce disk footprint and speed up inference while maintaining high model quality.
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+
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+ Quantization was performed with `BitsAndBytesConfig(load_in_8bit=True)` following the current recommended Hugging Face API (`quantization_config` argument).
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+
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+
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+ ## Quantization Details
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+
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+ - **Method**: BitsAndBytes 8-bit (LLM.int8)
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+ - **Library**: `bitsandbytes` (bnb)
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+ - **Format**: `safetensors`
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+ - **Precision**:
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+ - Weights: 8-bit int8
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+ - Activations / compute: FP16 or BF16 depending on hardware
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+ - **Intended use**: Low-memory inference on GPU or CPU
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+
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+ The quantized tensors are stored using bitsandbytes’s internal linear layers, referenced inside the safetensors file.
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+
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+
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+ ## Transformers Usage
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+
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+ ```python
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+ import torch
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+ from torch import Tensor
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+ import torch.nn.functional as F
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+ from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig
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+
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+ def last_token_pool(last_hidden_states: Tensor,
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+ attention_mask: Tensor) -> Tensor:
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+ left_padding = (attention_mask[:, -1].sum() == attention_mask.shape[0])
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+ if left_padding:
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+ return last_hidden_states[:, -1]
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+ else:
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+ sequence_lengths = attention_mask.sum(dim=1) - 1
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+ batch_size = last_hidden_states.shape[0]
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+ return last_hidden_states[torch.arange(batch_size, device=last_hidden_states.device), sequence_lengths]
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+
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+ bnb_config = BitsAndBytesConfig(
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+ load_in_4bit=True, # this enables 8-bit quantization
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+ llm_int8_threshold=6.0, # defaults; safe values
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+ llm_int8_has_fp16_weight=False
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+ )
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+
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+ model_id = "ManiKumarAdapala/Qwen3-Embedding-0.6B-Q8_0-Safetensors"
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+
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+ tokenizer = AutoTokenizer.from_pretrained(model_id, padding_side='left')
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+ model = AutoModel.from_pretrained(model_id, quantization_config = bnb_config)
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+
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+ max_length = 1024 #fixed
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+
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+ input_texts = "Gravity is a force that attracts two bodies towards each other. It gives weight to physical objects and is responsible for the movement of planets around the sun."
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+
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+ # Tokenize the input texts
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+ batch_dict = tokenizer(
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+ input_texts,
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+ padding=True,
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+ truncation=True,
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+ max_length=max_length,
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+ return_tensors="pt",
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+ )
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+ batch_dict.to(model.device)
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+ outputs = model(**batch_dict)
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+ embeddings_ = last_token_pool(outputs.last_hidden_state, batch_dict['attention_mask'])
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+
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+ # normalize embeddings
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+ embeddings = F.normalize(embeddings_, p=2, dim=1)
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+
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+ print(embeddings, len(embeddings[0]))
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+ ```
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+
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+ ## Memory & Performance
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+
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+ Approximate size comparison:
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+
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+ | Model Type | Disk Size | Runtime RAM |
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+ | ---------------------- | --------- | ----------- |
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+ | FP16 | ~1.2 GB | ~2.3 GB |
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+ | **8-bit (this model)** | ~600 MB | ~0.9–1.1 GB |
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+
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+
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+ ## Citation
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+
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+ ```
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+ @article{qwen3embedding,
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+ title={Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models},
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+ author={Zhang, Yanzhao and Li, Mingxin and Long, Dingkun and Zhang, Xin and Lin, Huan and Yang, Baosong and Xie, Pengjun and Yang, An and Liu, Dayiheng and Lin, Junyang and Huang, Fei and Zhou, Jingren},
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+ journal={arXiv preprint arXiv:2506.05176},
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+ year={2025}
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+ }
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+
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+ ```
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+
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+ <small><small><small><i>Disclaimer:
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+ I am not the creator or original owner of the Qwen/Qwen3 models. This repository provides a quantized version strictly for compatibility and deployment. All rights to the underlying models remain with the original authors. This repository adheres to the same license and usage terms as the upstream (base) model. Please review the original license for details on permissions and limitations.</i></small></small></small>
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+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ },
181
+ "151665": {
182
+ "content": "<tool_response>",
183
+ "lstrip": false,
184
+ "normalized": false,
185
+ "rstrip": false,
186
+ "single_word": false,
187
+ "special": false
188
+ },
189
+ "151666": {
190
+ "content": "</tool_response>",
191
+ "lstrip": false,
192
+ "normalized": false,
193
+ "rstrip": false,
194
+ "single_word": false,
195
+ "special": false
196
+ },
197
+ "151667": {
198
+ "content": "<think>",
199
+ "lstrip": false,
200
+ "normalized": false,
201
+ "rstrip": false,
202
+ "single_word": false,
203
+ "special": false
204
+ },
205
+ "151668": {
206
+ "content": "</think>",
207
+ "lstrip": false,
208
+ "normalized": false,
209
+ "rstrip": false,
210
+ "single_word": false,
211
+ "special": false
212
+ }
213
+ },
214
+ "additional_special_tokens": [
215
+ "<|im_start|>",
216
+ "<|im_end|>",
217
+ "<|object_ref_start|>",
218
+ "<|object_ref_end|>",
219
+ "<|box_start|>",
220
+ "<|box_end|>",
221
+ "<|quad_start|>",
222
+ "<|quad_end|>",
223
+ "<|vision_start|>",
224
+ "<|vision_end|>",
225
+ "<|vision_pad|>",
226
+ "<|image_pad|>",
227
+ "<|video_pad|>"
228
+ ],
229
+ "bos_token": null,
230
+ "clean_up_tokenization_spaces": false,
231
+ "eos_token": "<|im_end|>",
232
+ "errors": "replace",
233
+ "extra_special_tokens": {},
234
+ "model_max_length": 131072,
235
+ "pad_token": "<|endoftext|>",
236
+ "split_special_tokens": false,
237
+ "tokenizer_class": "Qwen2Tokenizer",
238
+ "unk_token": null
239
+ }
vocab.json ADDED
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