Upload folder using huggingface_hub
Browse files- .gitattributes +2 -0
- Modelfile +8 -0
- adapter/README.md +60 -0
- adapter/adapter_config.json +34 -0
- adapter/adapter_model.safetensors +3 -0
- adapter/all_results.json +8 -0
- adapter/special_tokens_map.json +32 -0
- adapter/tokenizer.json +3 -0
- adapter/tokenizer_config.json +200 -0
- adapter/train_results.json +8 -0
- adapter/trainer_log.jsonl +279 -0
- adapter/trainer_state.json +1946 -0
- adapter/training_args.bin +3 -0
- config.json +30 -0
- generation_config.json +9 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +346 -0
- special_tokens_map.json +32 -0
- tokenizer.json +3 -0
- tokenizer_config.json +200 -0
.gitattributes
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@@ -33,3 +33,5 @@ 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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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* 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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*tfevents* filter=lfs diff=lfs merge=lfs -text
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adapter/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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Modelfile
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# ollama modelfile auto-generated by llamafactory
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FROM .
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TEMPLATE """{{ if .System }}{{ .System }}{{ end }}{{ range .Messages }}{{ if eq .Role "user" }}<|User|>{{ .Content }}{{ else if eq .Role "assistant" }}<|Assistant|>{{ .Content }}<|end▁of▁sentence|>{{ end }}{{ end }}"""
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PARAMETER stop "<|end▁of▁sentence|>"
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PARAMETER num_ctx 4096
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adapter/README.md
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---
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library_name: peft
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license: other
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base_model: unsloth/DeepSeek-R1-Distill-Qwen-7B-bnb-4bit
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tags:
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- llama-factory
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- lora
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- generated_from_trainer
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model-index:
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- name: llama3_lora
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# llama3_lora
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This model is a fine-tuned version of [unsloth/DeepSeek-R1-Distill-Qwen-7B-bnb-4bit](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Qwen-7B-bnb-4bit) on the limo_restructured dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 1
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 3
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- total_train_batch_size: 3
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 1.0
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.48.3
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- Pytorch 2.6.0+cu124
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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adapter/adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "unsloth/DeepSeek-R1-Distill-Qwen-7B-bnb-4bit",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_dropout": 0.0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"k_proj",
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"q_proj",
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"v_proj",
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"o_proj",
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"up_proj",
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"down_proj",
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"gate_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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adapter/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2200f16a85bf5e7003d7119c6a2134b6662b23e25e041b437e2351fd8a83b8e6
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size 80792096
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adapter/all_results.json
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{
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"epoch": 0.9987760097919217,
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"total_flos": 1.7184161279184077e+17,
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"train_loss": 0.49135432271834684,
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"train_runtime": 6097.9323,
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"train_samples_per_second": 0.134,
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"train_steps_per_second": 0.045
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}
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adapter/special_tokens_map.json
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{
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}
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}
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adapter/tokenizer.json
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version https://git-lfs.github.com/spec/v1
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size 11422778
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adapter/tokenizer_config.json
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127 |
+
"content": "</tool_call>",
|
128 |
+
"lstrip": false,
|
129 |
+
"normalized": false,
|
130 |
+
"rstrip": false,
|
131 |
+
"single_word": false,
|
132 |
+
"special": false
|
133 |
+
},
|
134 |
+
"151659": {
|
135 |
+
"content": "<|fim_prefix|>",
|
136 |
+
"lstrip": false,
|
137 |
+
"normalized": false,
|
138 |
+
"rstrip": false,
|
139 |
+
"single_word": false,
|
140 |
+
"special": false
|
141 |
+
},
|
142 |
+
"151660": {
|
143 |
+
"content": "<|fim_middle|>",
|
144 |
+
"lstrip": false,
|
145 |
+
"normalized": false,
|
146 |
+
"rstrip": false,
|
147 |
+
"single_word": false,
|
148 |
+
"special": false
|
149 |
+
},
|
150 |
+
"151661": {
|
151 |
+
"content": "<|fim_suffix|>",
|
152 |
+
"lstrip": false,
|
153 |
+
"normalized": false,
|
154 |
+
"rstrip": false,
|
155 |
+
"single_word": false,
|
156 |
+
"special": false
|
157 |
+
},
|
158 |
+
"151662": {
|
159 |
+
"content": "<|fim_pad|>",
|
160 |
+
"lstrip": false,
|
161 |
+
"normalized": false,
|
162 |
+
"rstrip": false,
|
163 |
+
"single_word": false,
|
164 |
+
"special": false
|
165 |
+
},
|
166 |
+
"151663": {
|
167 |
+
"content": "<|repo_name|>",
|
168 |
+
"lstrip": false,
|
169 |
+
"normalized": false,
|
170 |
+
"rstrip": false,
|
171 |
+
"single_word": false,
|
172 |
+
"special": false
|
173 |
+
},
|
174 |
+
"151664": {
|
175 |
+
"content": "<|file_sep|>",
|
176 |
+
"lstrip": false,
|
177 |
+
"normalized": false,
|
178 |
+
"rstrip": false,
|
179 |
+
"single_word": false,
|
180 |
+
"special": false
|
181 |
+
}
|
182 |
+
},
|
183 |
+
"additional_special_tokens": [
|
184 |
+
"<|end▁of▁sentence|>"
|
185 |
+
],
|
186 |
+
"bos_token": "<|begin▁of▁sentence|>",
|
187 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<|User|>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<|Assistant|><|tool▁calls▁begin|><|tool▁call▁begin|>' + tool['type'] + '<|tool▁sep|>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<|tool▁call▁end|>'}}{%- set ns.is_first = true -%}{%- else %}{{'\\n' + '<|tool▁call▁begin|>' + tool['type'] + '<|tool▁sep|>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<|tool▁call▁end|>'}}{{'<|tool▁calls▁end|><|end▁of▁sentence|>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<|tool▁outputs▁end|>' + message['content'] + '<|end▁of▁sentence|>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<|Assistant|>' + content + '<|end▁of▁sentence|>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<|tool▁outputs▁begin|><|tool▁output▁begin|>' + message['content'] + '<|tool▁output▁end|>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\\n<|tool▁output▁begin|>' + message['content'] + '<|tool▁output▁end|>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<|tool▁outputs▁end|>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<|Assistant|><think>\\n'}}{% endif %}",
|
188 |
+
"clean_up_tokenization_spaces": false,
|
189 |
+
"eos_token": "<|end▁of▁sentence|>",
|
190 |
+
"extra_special_tokens": {},
|
191 |
+
"legacy": true,
|
192 |
+
"model_max_length": 6144,
|
193 |
+
"pad_token": "<|vision_pad|>",
|
194 |
+
"padding_side": "right",
|
195 |
+
"sp_model_kwargs": {},
|
196 |
+
"split_special_tokens": false,
|
197 |
+
"tokenizer_class": "LlamaTokenizer",
|
198 |
+
"unk_token": null,
|
199 |
+
"use_default_system_prompt": false
|
200 |
+
}
|
adapter/train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
1 |
+
{
|
2 |
+
"epoch": 0.9987760097919217,
|
3 |
+
"total_flos": 1.7184161279184077e+17,
|
4 |
+
"train_loss": 0.49135432271834684,
|
5 |
+
"train_runtime": 6097.9323,
|
6 |
+
"train_samples_per_second": 0.134,
|
7 |
+
"train_steps_per_second": 0.045
|
8 |
+
}
|
adapter/trainer_log.jsonl
ADDED
@@ -0,0 +1,279 @@
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{"current_steps": 5, "total_steps": 186, "loss": 0.6061, "lr": 7.894736842105262e-05, "epoch": 0.08, "percentage": 2.69, "elapsed_time": "0:01:42", "remaining_time": "1:01:51"}
|
2 |
+
{"current_steps": 10, "total_steps": 186, "loss": 0.6024, "lr": 0.00015789473684210524, "epoch": 0.16, "percentage": 5.38, "elapsed_time": "0:03:24", "remaining_time": "0:59:57"}
|
3 |
+
{"current_steps": 5, "total_steps": 1500, "loss": 0.5642, "lr": 3.3333333333333333e-06, "epoch": 0.01, "percentage": 0.33, "elapsed_time": "0:00:37", "remaining_time": "3:04:24"}
|
4 |
+
{"current_steps": 5, "total_steps": 1500, "loss": 0.5647, "lr": 3.3333333333333333e-06, "epoch": 0.01, "percentage": 0.33, "elapsed_time": "0:00:39", "remaining_time": "3:17:51"}
|
5 |
+
{"current_steps": 5, "total_steps": 1500, "loss": 0.5647, "lr": 3.3333333333333333e-06, "epoch": 0.01, "percentage": 0.33, "elapsed_time": "0:00:37", "remaining_time": "3:07:18"}
|
6 |
+
{"current_steps": 10, "total_steps": 1500, "loss": 0.5811, "lr": 6.666666666666667e-06, "epoch": 0.02, "percentage": 0.67, "elapsed_time": "0:01:20", "remaining_time": "3:19:02"}
|
7 |
+
{"current_steps": 1, "total_steps": 272, "loss": 0.4568, "lr": 3.5714285714285714e-06, "epoch": 0.0036719706242350062, "percentage": 0.37, "elapsed_time": "0:00:24", "remaining_time": "1:50:28"}
|
8 |
+
{"current_steps": 2, "total_steps": 272, "loss": 0.7457, "lr": 7.142857142857143e-06, "epoch": 0.0073439412484700125, "percentage": 0.74, "elapsed_time": "0:00:48", "remaining_time": "1:48:44"}
|
9 |
+
{"current_steps": 3, "total_steps": 272, "loss": 0.3669, "lr": 1.0714285714285714e-05, "epoch": 0.011015911872705019, "percentage": 1.1, "elapsed_time": "0:01:13", "remaining_time": "1:49:28"}
|
10 |
+
{"current_steps": 4, "total_steps": 272, "loss": 0.4611, "lr": 1.4285714285714285e-05, "epoch": 0.014687882496940025, "percentage": 1.47, "elapsed_time": "0:01:33", "remaining_time": "1:44:23"}
|
11 |
+
{"current_steps": 5, "total_steps": 272, "loss": 0.3727, "lr": 1.785714285714286e-05, "epoch": 0.01835985312117503, "percentage": 1.84, "elapsed_time": "0:01:51", "remaining_time": "1:39:05"}
|
12 |
+
{"current_steps": 6, "total_steps": 272, "loss": 0.3609, "lr": 2.1428571428571428e-05, "epoch": 0.022031823745410038, "percentage": 2.21, "elapsed_time": "0:02:15", "remaining_time": "1:40:18"}
|
13 |
+
{"current_steps": 7, "total_steps": 272, "loss": 0.8697, "lr": 2.5e-05, "epoch": 0.025703794369645042, "percentage": 2.57, "elapsed_time": "0:02:39", "remaining_time": "1:40:54"}
|
14 |
+
{"current_steps": 8, "total_steps": 272, "loss": 0.521, "lr": 2.857142857142857e-05, "epoch": 0.02937576499388005, "percentage": 2.94, "elapsed_time": "0:02:57", "remaining_time": "1:37:23"}
|
15 |
+
{"current_steps": 9, "total_steps": 272, "loss": 0.676, "lr": 3.2142857142857144e-05, "epoch": 0.033047735618115054, "percentage": 3.31, "elapsed_time": "0:03:23", "remaining_time": "1:39:05"}
|
16 |
+
{"current_steps": 10, "total_steps": 272, "loss": 0.306, "lr": 3.571428571428572e-05, "epoch": 0.03671970624235006, "percentage": 3.68, "elapsed_time": "0:03:45", "remaining_time": "1:38:39"}
|
17 |
+
{"current_steps": 11, "total_steps": 272, "loss": 0.5941, "lr": 3.928571428571429e-05, "epoch": 0.04039167686658507, "percentage": 4.04, "elapsed_time": "0:04:07", "remaining_time": "1:38:02"}
|
18 |
+
{"current_steps": 12, "total_steps": 272, "loss": 0.412, "lr": 4.2857142857142856e-05, "epoch": 0.044063647490820076, "percentage": 4.41, "elapsed_time": "0:04:32", "remaining_time": "1:38:21"}
|
19 |
+
{"current_steps": 13, "total_steps": 272, "loss": 0.4988, "lr": 4.642857142857143e-05, "epoch": 0.04773561811505508, "percentage": 4.78, "elapsed_time": "0:04:52", "remaining_time": "1:37:07"}
|
20 |
+
{"current_steps": 14, "total_steps": 272, "loss": 0.3337, "lr": 5e-05, "epoch": 0.051407588739290085, "percentage": 5.15, "elapsed_time": "0:05:16", "remaining_time": "1:37:06"}
|
21 |
+
{"current_steps": 15, "total_steps": 272, "loss": 0.424, "lr": 5.3571428571428575e-05, "epoch": 0.05507955936352509, "percentage": 5.51, "elapsed_time": "0:05:40", "remaining_time": "1:37:15"}
|
22 |
+
{"current_steps": 16, "total_steps": 272, "loss": 0.3674, "lr": 5.714285714285714e-05, "epoch": 0.0587515299877601, "percentage": 5.88, "elapsed_time": "0:06:10", "remaining_time": "1:38:44"}
|
23 |
+
{"current_steps": 17, "total_steps": 272, "loss": 0.4244, "lr": 6.0714285714285715e-05, "epoch": 0.06242350061199511, "percentage": 6.25, "elapsed_time": "0:06:33", "remaining_time": "1:38:15"}
|
24 |
+
{"current_steps": 18, "total_steps": 272, "loss": 0.3832, "lr": 6.428571428571429e-05, "epoch": 0.06609547123623011, "percentage": 6.62, "elapsed_time": "0:06:55", "remaining_time": "1:37:43"}
|
25 |
+
{"current_steps": 19, "total_steps": 272, "loss": 0.7971, "lr": 6.785714285714286e-05, "epoch": 0.06976744186046512, "percentage": 6.99, "elapsed_time": "0:07:18", "remaining_time": "1:37:22"}
|
26 |
+
{"current_steps": 20, "total_steps": 272, "loss": 0.267, "lr": 7.142857142857143e-05, "epoch": 0.07343941248470012, "percentage": 7.35, "elapsed_time": "0:07:35", "remaining_time": "1:35:39"}
|
27 |
+
{"current_steps": 21, "total_steps": 272, "loss": 0.4959, "lr": 7.500000000000001e-05, "epoch": 0.07711138310893513, "percentage": 7.72, "elapsed_time": "0:08:00", "remaining_time": "1:35:45"}
|
28 |
+
{"current_steps": 22, "total_steps": 272, "loss": 0.6555, "lr": 7.857142857142858e-05, "epoch": 0.08078335373317014, "percentage": 8.09, "elapsed_time": "0:08:25", "remaining_time": "1:35:41"}
|
29 |
+
{"current_steps": 23, "total_steps": 272, "loss": 0.365, "lr": 8.214285714285714e-05, "epoch": 0.08445532435740515, "percentage": 8.46, "elapsed_time": "0:08:49", "remaining_time": "1:35:33"}
|
30 |
+
{"current_steps": 24, "total_steps": 272, "loss": 0.3245, "lr": 8.571428571428571e-05, "epoch": 0.08812729498164015, "percentage": 8.82, "elapsed_time": "0:09:13", "remaining_time": "1:35:15"}
|
31 |
+
{"current_steps": 25, "total_steps": 272, "loss": 0.7651, "lr": 8.92857142857143e-05, "epoch": 0.09179926560587515, "percentage": 9.19, "elapsed_time": "0:09:35", "remaining_time": "1:34:45"}
|
32 |
+
{"current_steps": 26, "total_steps": 272, "loss": 0.4515, "lr": 9.285714285714286e-05, "epoch": 0.09547123623011015, "percentage": 9.56, "elapsed_time": "0:10:01", "remaining_time": "1:34:51"}
|
33 |
+
{"current_steps": 27, "total_steps": 272, "loss": 0.853, "lr": 9.642857142857143e-05, "epoch": 0.09914320685434516, "percentage": 9.93, "elapsed_time": "0:10:21", "remaining_time": "1:34:01"}
|
34 |
+
{"current_steps": 28, "total_steps": 272, "loss": 0.5184, "lr": 0.0001, "epoch": 0.10281517747858017, "percentage": 10.29, "elapsed_time": "0:10:50", "remaining_time": "1:34:24"}
|
35 |
+
{"current_steps": 29, "total_steps": 272, "loss": 0.4656, "lr": 9.999585567217439e-05, "epoch": 0.10648714810281518, "percentage": 10.66, "elapsed_time": "0:11:10", "remaining_time": "1:33:35"}
|
36 |
+
{"current_steps": 30, "total_steps": 272, "loss": 1.1901, "lr": 9.998342337571565e-05, "epoch": 0.11015911872705018, "percentage": 11.03, "elapsed_time": "0:11:33", "remaining_time": "1:33:10"}
|
37 |
+
{"current_steps": 31, "total_steps": 272, "loss": 0.3506, "lr": 9.99627051715643e-05, "epoch": 0.11383108935128519, "percentage": 11.4, "elapsed_time": "0:11:57", "remaining_time": "1:32:57"}
|
38 |
+
{"current_steps": 32, "total_steps": 272, "loss": 0.3324, "lr": 9.993370449424153e-05, "epoch": 0.1175030599755202, "percentage": 11.76, "elapsed_time": "0:12:16", "remaining_time": "1:32:05"}
|
39 |
+
{"current_steps": 33, "total_steps": 272, "loss": 0.2745, "lr": 9.98964261512799e-05, "epoch": 0.1211750305997552, "percentage": 12.13, "elapsed_time": "0:12:38", "remaining_time": "1:31:34"}
|
40 |
+
{"current_steps": 34, "total_steps": 272, "loss": 0.5225, "lr": 9.985087632242633e-05, "epoch": 0.12484700122399021, "percentage": 12.5, "elapsed_time": "0:13:00", "remaining_time": "1:31:00"}
|
41 |
+
{"current_steps": 35, "total_steps": 272, "loss": 0.3213, "lr": 9.97970625586178e-05, "epoch": 0.12851897184822522, "percentage": 12.87, "elapsed_time": "0:13:19", "remaining_time": "1:30:15"}
|
42 |
+
{"current_steps": 36, "total_steps": 272, "loss": 0.3551, "lr": 9.973499378072945e-05, "epoch": 0.13219094247246022, "percentage": 13.24, "elapsed_time": "0:13:45", "remaining_time": "1:30:14"}
|
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|
adapter/trainer_state.json
ADDED
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42 |
+
"rstrip": false,
|
43 |
+
"single_word": false,
|
44 |
+
"special": false
|
45 |
+
},
|
46 |
+
"151648": {
|
47 |
+
"content": "<think>",
|
48 |
+
"lstrip": false,
|
49 |
+
"normalized": false,
|
50 |
+
"rstrip": false,
|
51 |
+
"single_word": false,
|
52 |
+
"special": false
|
53 |
+
},
|
54 |
+
"151649": {
|
55 |
+
"content": "</think>",
|
56 |
+
"lstrip": false,
|
57 |
+
"normalized": false,
|
58 |
+
"rstrip": false,
|
59 |
+
"single_word": false,
|
60 |
+
"special": false
|
61 |
+
},
|
62 |
+
"151650": {
|
63 |
+
"content": "<|quad_start|>",
|
64 |
+
"lstrip": false,
|
65 |
+
"normalized": false,
|
66 |
+
"rstrip": false,
|
67 |
+
"single_word": false,
|
68 |
+
"special": true
|
69 |
+
},
|
70 |
+
"151651": {
|
71 |
+
"content": "<|quad_end|>",
|
72 |
+
"lstrip": false,
|
73 |
+
"normalized": false,
|
74 |
+
"rstrip": false,
|
75 |
+
"single_word": false,
|
76 |
+
"special": true
|
77 |
+
},
|
78 |
+
"151652": {
|
79 |
+
"content": "<|vision_start|>",
|
80 |
+
"lstrip": false,
|
81 |
+
"normalized": false,
|
82 |
+
"rstrip": false,
|
83 |
+
"single_word": false,
|
84 |
+
"special": true
|
85 |
+
},
|
86 |
+
"151653": {
|
87 |
+
"content": "<|vision_end|>",
|
88 |
+
"lstrip": false,
|
89 |
+
"normalized": false,
|
90 |
+
"rstrip": false,
|
91 |
+
"single_word": false,
|
92 |
+
"special": true
|
93 |
+
},
|
94 |
+
"151654": {
|
95 |
+
"content": "<|vision_pad|>",
|
96 |
+
"lstrip": false,
|
97 |
+
"normalized": false,
|
98 |
+
"rstrip": false,
|
99 |
+
"single_word": false,
|
100 |
+
"special": true
|
101 |
+
},
|
102 |
+
"151655": {
|
103 |
+
"content": "<|image_pad|>",
|
104 |
+
"lstrip": false,
|
105 |
+
"normalized": false,
|
106 |
+
"rstrip": false,
|
107 |
+
"single_word": false,
|
108 |
+
"special": true
|
109 |
+
},
|
110 |
+
"151656": {
|
111 |
+
"content": "<|video_pad|>",
|
112 |
+
"lstrip": false,
|
113 |
+
"normalized": false,
|
114 |
+
"rstrip": false,
|
115 |
+
"single_word": false,
|
116 |
+
"special": true
|
117 |
+
},
|
118 |
+
"151657": {
|
119 |
+
"content": "<tool_call>",
|
120 |
+
"lstrip": false,
|
121 |
+
"normalized": false,
|
122 |
+
"rstrip": false,
|
123 |
+
"single_word": false,
|
124 |
+
"special": false
|
125 |
+
},
|
126 |
+
"151658": {
|
127 |
+
"content": "</tool_call>",
|
128 |
+
"lstrip": false,
|
129 |
+
"normalized": false,
|
130 |
+
"rstrip": false,
|
131 |
+
"single_word": false,
|
132 |
+
"special": false
|
133 |
+
},
|
134 |
+
"151659": {
|
135 |
+
"content": "<|fim_prefix|>",
|
136 |
+
"lstrip": false,
|
137 |
+
"normalized": false,
|
138 |
+
"rstrip": false,
|
139 |
+
"single_word": false,
|
140 |
+
"special": false
|
141 |
+
},
|
142 |
+
"151660": {
|
143 |
+
"content": "<|fim_middle|>",
|
144 |
+
"lstrip": false,
|
145 |
+
"normalized": false,
|
146 |
+
"rstrip": false,
|
147 |
+
"single_word": false,
|
148 |
+
"special": false
|
149 |
+
},
|
150 |
+
"151661": {
|
151 |
+
"content": "<|fim_suffix|>",
|
152 |
+
"lstrip": false,
|
153 |
+
"normalized": false,
|
154 |
+
"rstrip": false,
|
155 |
+
"single_word": false,
|
156 |
+
"special": false
|
157 |
+
},
|
158 |
+
"151662": {
|
159 |
+
"content": "<|fim_pad|>",
|
160 |
+
"lstrip": false,
|
161 |
+
"normalized": false,
|
162 |
+
"rstrip": false,
|
163 |
+
"single_word": false,
|
164 |
+
"special": false
|
165 |
+
},
|
166 |
+
"151663": {
|
167 |
+
"content": "<|repo_name|>",
|
168 |
+
"lstrip": false,
|
169 |
+
"normalized": false,
|
170 |
+
"rstrip": false,
|
171 |
+
"single_word": false,
|
172 |
+
"special": false
|
173 |
+
},
|
174 |
+
"151664": {
|
175 |
+
"content": "<|file_sep|>",
|
176 |
+
"lstrip": false,
|
177 |
+
"normalized": false,
|
178 |
+
"rstrip": false,
|
179 |
+
"single_word": false,
|
180 |
+
"special": false
|
181 |
+
}
|
182 |
+
},
|
183 |
+
"additional_special_tokens": [
|
184 |
+
"<|end▁of▁sentence|>"
|
185 |
+
],
|
186 |
+
"bos_token": "<|begin▁of▁sentence|>",
|
187 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<|User|>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<|Assistant|><|tool▁calls▁begin|><|tool▁call▁begin|>' + tool['type'] + '<|tool▁sep|>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<|tool▁call▁end|>'}}{%- set ns.is_first = true -%}{%- else %}{{'\\n' + '<|tool▁call▁begin|>' + tool['type'] + '<|tool▁sep|>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<|tool▁call▁end|>'}}{{'<|tool▁calls▁end|><|end▁of▁sentence|>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<|tool▁outputs▁end|>' + message['content'] + '<|end▁of▁sentence|>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<|Assistant|>' + content + '<|end▁of▁sentence|>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<|tool▁outputs▁begin|><|tool▁output▁begin|>' + message['content'] + '<|tool▁output▁end|>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\\n<|tool▁output▁begin|>' + message['content'] + '<|tool▁output▁end|>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<|tool▁outputs▁end|>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<|Assistant|><think>\\n'}}{% endif %}",
|
188 |
+
"clean_up_tokenization_spaces": false,
|
189 |
+
"eos_token": "<|end▁of▁sentence|>",
|
190 |
+
"extra_special_tokens": {},
|
191 |
+
"legacy": true,
|
192 |
+
"model_max_length": 2048,
|
193 |
+
"pad_token": "<|end▁of▁sentence|>",
|
194 |
+
"padding_side": "left",
|
195 |
+
"sp_model_kwargs": {},
|
196 |
+
"split_special_tokens": false,
|
197 |
+
"tokenizer_class": "LlamaTokenizer",
|
198 |
+
"unk_token": null,
|
199 |
+
"use_default_system_prompt": false
|
200 |
+
}
|