Upload folder using huggingface_hub
Browse files- README.md +199 -3
- added_tokens.json +43 -0
- config.json +111 -0
- generation_config.json +6 -0
- merges.txt +0 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- special_tokens_map.json +56 -0
- tokenizer.json +0 -0
- tokenizer_config.json +383 -0
- vocab.json +0 -0
README.md
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---
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library_name: transformers
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tags: []
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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added_tokens.json
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{
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"<|endoftext|>": 151643,
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"[memory_9]": 151655
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}
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config.json
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{
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"_name_or_path": "output",
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"architectures": [
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"DolphinForCausalLM"
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],
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"attention_dropout": 0.0,
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"encoder_config": {
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"_name_or_path": "alexchen4ai/Qwen2-0.5B",
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"add_cross_attention": false,
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"hidden_size": 896,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1"
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},
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},
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"min_length": 0,
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|
170 |
+
"special": true
|
171 |
+
},
|
172 |
+
"151664": {
|
173 |
+
"content": "[memory_18]",
|
174 |
+
"lstrip": false,
|
175 |
+
"normalized": false,
|
176 |
+
"rstrip": false,
|
177 |
+
"single_word": false,
|
178 |
+
"special": true
|
179 |
+
},
|
180 |
+
"151665": {
|
181 |
+
"content": "[memory_19]",
|
182 |
+
"lstrip": false,
|
183 |
+
"normalized": false,
|
184 |
+
"rstrip": false,
|
185 |
+
"single_word": false,
|
186 |
+
"special": true
|
187 |
+
},
|
188 |
+
"151666": {
|
189 |
+
"content": "[memory_20]",
|
190 |
+
"lstrip": false,
|
191 |
+
"normalized": false,
|
192 |
+
"rstrip": false,
|
193 |
+
"single_word": false,
|
194 |
+
"special": true
|
195 |
+
},
|
196 |
+
"151667": {
|
197 |
+
"content": "[memory_21]",
|
198 |
+
"lstrip": false,
|
199 |
+
"normalized": false,
|
200 |
+
"rstrip": false,
|
201 |
+
"single_word": false,
|
202 |
+
"special": true
|
203 |
+
},
|
204 |
+
"151668": {
|
205 |
+
"content": "[memory_22]",
|
206 |
+
"lstrip": false,
|
207 |
+
"normalized": false,
|
208 |
+
"rstrip": false,
|
209 |
+
"single_word": false,
|
210 |
+
"special": true
|
211 |
+
},
|
212 |
+
"151669": {
|
213 |
+
"content": "[memory_23]",
|
214 |
+
"lstrip": false,
|
215 |
+
"normalized": false,
|
216 |
+
"rstrip": false,
|
217 |
+
"single_word": false,
|
218 |
+
"special": true
|
219 |
+
},
|
220 |
+
"151670": {
|
221 |
+
"content": "[memory_24]",
|
222 |
+
"lstrip": false,
|
223 |
+
"normalized": false,
|
224 |
+
"rstrip": false,
|
225 |
+
"single_word": false,
|
226 |
+
"special": true
|
227 |
+
},
|
228 |
+
"151671": {
|
229 |
+
"content": "[memory_25]",
|
230 |
+
"lstrip": false,
|
231 |
+
"normalized": false,
|
232 |
+
"rstrip": false,
|
233 |
+
"single_word": false,
|
234 |
+
"special": true
|
235 |
+
},
|
236 |
+
"151672": {
|
237 |
+
"content": "[memory_26]",
|
238 |
+
"lstrip": false,
|
239 |
+
"normalized": false,
|
240 |
+
"rstrip": false,
|
241 |
+
"single_word": false,
|
242 |
+
"special": true
|
243 |
+
},
|
244 |
+
"151673": {
|
245 |
+
"content": "[memory_27]",
|
246 |
+
"lstrip": false,
|
247 |
+
"normalized": false,
|
248 |
+
"rstrip": false,
|
249 |
+
"single_word": false,
|
250 |
+
"special": true
|
251 |
+
},
|
252 |
+
"151674": {
|
253 |
+
"content": "[memory_28]",
|
254 |
+
"lstrip": false,
|
255 |
+
"normalized": false,
|
256 |
+
"rstrip": false,
|
257 |
+
"single_word": false,
|
258 |
+
"special": true
|
259 |
+
},
|
260 |
+
"151675": {
|
261 |
+
"content": "[memory_29]",
|
262 |
+
"lstrip": false,
|
263 |
+
"normalized": false,
|
264 |
+
"rstrip": false,
|
265 |
+
"single_word": false,
|
266 |
+
"special": true
|
267 |
+
},
|
268 |
+
"151676": {
|
269 |
+
"content": "[memory_30]",
|
270 |
+
"lstrip": false,
|
271 |
+
"normalized": false,
|
272 |
+
"rstrip": false,
|
273 |
+
"single_word": false,
|
274 |
+
"special": true
|
275 |
+
},
|
276 |
+
"151677": {
|
277 |
+
"content": "[memory_31]",
|
278 |
+
"lstrip": false,
|
279 |
+
"normalized": false,
|
280 |
+
"rstrip": false,
|
281 |
+
"single_word": false,
|
282 |
+
"special": true
|
283 |
+
},
|
284 |
+
"151678": {
|
285 |
+
"content": "[NEXA_RESTORE]",
|
286 |
+
"lstrip": false,
|
287 |
+
"normalized": false,
|
288 |
+
"rstrip": false,
|
289 |
+
"single_word": false,
|
290 |
+
"special": true
|
291 |
+
},
|
292 |
+
"151679": {
|
293 |
+
"content": "[NEXA_INST]",
|
294 |
+
"lstrip": false,
|
295 |
+
"normalized": false,
|
296 |
+
"rstrip": false,
|
297 |
+
"single_word": false,
|
298 |
+
"special": true
|
299 |
+
},
|
300 |
+
"151680": {
|
301 |
+
"content": "[NEXA_ASSI_1]",
|
302 |
+
"lstrip": false,
|
303 |
+
"normalized": false,
|
304 |
+
"rstrip": false,
|
305 |
+
"single_word": false,
|
306 |
+
"special": true
|
307 |
+
},
|
308 |
+
"151681": {
|
309 |
+
"content": "[NEXA_ASSI_2]",
|
310 |
+
"lstrip": false,
|
311 |
+
"normalized": false,
|
312 |
+
"rstrip": false,
|
313 |
+
"single_word": false,
|
314 |
+
"special": true
|
315 |
+
},
|
316 |
+
"151682": {
|
317 |
+
"content": "[NEXA_ASSI_3]",
|
318 |
+
"lstrip": false,
|
319 |
+
"normalized": false,
|
320 |
+
"rstrip": false,
|
321 |
+
"single_word": false,
|
322 |
+
"special": true
|
323 |
+
},
|
324 |
+
"151683": {
|
325 |
+
"content": "[NEXA_ASSI_4]",
|
326 |
+
"lstrip": false,
|
327 |
+
"normalized": false,
|
328 |
+
"rstrip": false,
|
329 |
+
"single_word": false,
|
330 |
+
"special": true
|
331 |
+
}
|
332 |
+
},
|
333 |
+
"additional_special_tokens": [
|
334 |
+
"[memory_0]",
|
335 |
+
"[memory_1]",
|
336 |
+
"[memory_2]",
|
337 |
+
"[memory_3]",
|
338 |
+
"[memory_4]",
|
339 |
+
"[memory_5]",
|
340 |
+
"[memory_6]",
|
341 |
+
"[memory_7]",
|
342 |
+
"[memory_8]",
|
343 |
+
"[memory_9]",
|
344 |
+
"[memory_10]",
|
345 |
+
"[memory_11]",
|
346 |
+
"[memory_12]",
|
347 |
+
"[memory_13]",
|
348 |
+
"[memory_14]",
|
349 |
+
"[memory_15]",
|
350 |
+
"[memory_16]",
|
351 |
+
"[memory_17]",
|
352 |
+
"[memory_18]",
|
353 |
+
"[memory_19]",
|
354 |
+
"[memory_20]",
|
355 |
+
"[memory_21]",
|
356 |
+
"[memory_22]",
|
357 |
+
"[memory_23]",
|
358 |
+
"[memory_24]",
|
359 |
+
"[memory_25]",
|
360 |
+
"[memory_26]",
|
361 |
+
"[memory_27]",
|
362 |
+
"[memory_28]",
|
363 |
+
"[memory_29]",
|
364 |
+
"[memory_30]",
|
365 |
+
"[memory_31]",
|
366 |
+
"[NEXA_RESTORE]",
|
367 |
+
"[NEXA_INST]",
|
368 |
+
"[NEXA_ASSI_1]",
|
369 |
+
"[NEXA_ASSI_2]",
|
370 |
+
"[NEXA_ASSI_3]",
|
371 |
+
"[NEXA_ASSI_4]"
|
372 |
+
],
|
373 |
+
"bos_token": null,
|
374 |
+
"chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
375 |
+
"clean_up_tokenization_spaces": false,
|
376 |
+
"eos_token": "<|endoftext|>",
|
377 |
+
"errors": "replace",
|
378 |
+
"model_max_length": 32768,
|
379 |
+
"pad_token": "<|endoftext|>",
|
380 |
+
"split_special_tokens": false,
|
381 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
382 |
+
"unk_token": null
|
383 |
+
}
|
vocab.json
ADDED
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|
|