Training in progress, step 100
Browse files- README.md +59 -0
- adapter_config.json +34 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +28 -0
- chat_template.jinja +97 -0
- config.json +31 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- special_tokens_map.json +23 -0
- spiece.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +39 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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base_model: unsloth/qwen3-1.7b-unsloth-bnb-4bit
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library_name: transformers
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model_name: punctuation_1350_1.7B_1
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tags:
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- generated_from_trainer
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- unsloth
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- trl
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- sft
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licence: license
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---
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# Model Card for punctuation_1350_1.7B_1
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This model is a fine-tuned version of [unsloth/qwen3-1.7b-unsloth-bnb-4bit](https://huggingface.co/unsloth/qwen3-1.7b-unsloth-bnb-4bit).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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```python
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from transformers import pipeline
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question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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generator = pipeline("text-generation", model="picard47at/punctuation_1350_1.7B_1", device="cuda")
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output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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print(output["generated_text"])
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```
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## Training procedure
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/picardtseng-pesi/punctuation_1350_1.7B_1/runs/4fc2jidy)
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This model was trained with SFT.
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### Framework versions
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- TRL: 0.18.1
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- Transformers: 4.52.4
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- Pytorch: 2.7.0
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- Datasets: 3.6.0
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- Tokenizers: 0.21.0
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## Citations
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Cite TRL as:
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```bibtex
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@misc{vonwerra2022trl,
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title = {{TRL: Transformer Reinforcement Learning}},
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author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
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year = 2020,
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journal = {GitHub repository},
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publisher = {GitHub},
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howpublished = {\url{https://github.com/huggingface/trl}}
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}
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```
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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/qwen3-1.7b-unsloth-bnb-4bit",
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"bias": "none",
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"corda_config": null,
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"eva_config": null,
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"exclude_modules": null,
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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_bias": false,
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"lora_dropout": 0.05,
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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": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:873251792308a8e239838596a48ddaeb38760afd82390530221a2c7b2da28bf5
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size 6437384
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added_tokens.json
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{
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"</think>": 151668,
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"</tool_call>": 151658,
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"</tool_response>": 151666,
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"<think>": 151667,
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"<tool_call>": 151657,
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"<tool_response>": 151665,
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"<|box_end|>": 151649,
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"<|box_start|>": 151648,
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"<|endoftext|>": 151643,
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"<|file_sep|>": 151664,
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"<|fim_middle|>": 151660,
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"<|fim_pad|>": 151662,
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"<|fim_prefix|>": 151659,
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"<|fim_suffix|>": 151661,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644,
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"<|image_pad|>": 151655,
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"<|object_ref_end|>": 151647,
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"<|object_ref_start|>": 151646,
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"<|quad_end|>": 151651,
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"<|quad_start|>": 151650,
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"<|repo_name|>": 151663,
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"<|video_pad|>": 151656,
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"<|vision_end|>": 151653,
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"<|vision_pad|>": 151654,
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"<|vision_start|>": 151652
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}
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{{- messages[0].content + '\n\n' }}
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{%- endif %}
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{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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| 7 |
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{%- for tool in tools %}
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| 8 |
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{{- "\n" }}
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| 9 |
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{{- tool | tojson }}
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| 10 |
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{%- endfor %}
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{{- "\n</tools>\n\nFor each function 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><|im_end|>\n" }}
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| 12 |
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{%- else %}
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| 13 |
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{%- if messages[0].role == 'system' %}
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| 14 |
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{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
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| 15 |
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{%- endif %}
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| 16 |
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{%- endif %}
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| 17 |
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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| 18 |
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{%- for forward_message in messages %}
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| 19 |
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{%- set index = (messages|length - 1) - loop.index0 %}
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| 20 |
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{%- set message = messages[index] %}
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| 21 |
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{%- set tool_start = '<tool_response>' %}
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| 22 |
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{%- set tool_start_length = tool_start|length %}
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{%- set start_of_message = message.content[:tool_start_length] %}
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{%- set tool_end = '</tool_response>' %}
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| 25 |
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{%- set tool_end_length = tool_end|length %}
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| 26 |
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{%- set start_pos = (message.content|length) - tool_end_length %}
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| 27 |
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{%- if start_pos < 0 %}
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| 28 |
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{%- set start_pos = 0 %}
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| 29 |
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{%- endif %}
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| 30 |
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{%- set end_of_message = message.content[start_pos:] %}
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| 31 |
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{%- if ns.multi_step_tool and message.role == "user" and not(start_of_message == tool_start and end_of_message == tool_end) %}
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| 32 |
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{%- set ns.multi_step_tool = false %}
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| 33 |
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{%- set ns.last_query_index = index %}
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| 34 |
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{%- endif %}
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| 35 |
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{%- endfor %}
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| 36 |
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{%- for message in messages %}
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| 37 |
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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| 38 |
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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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| 39 |
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{%- elif message.role == "assistant" %}
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| 40 |
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{%- set content = message.content %}
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| 41 |
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{%- set reasoning_content = '' %}
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| 42 |
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{%- if message.reasoning_content is defined and message.reasoning_content is not none %}
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| 43 |
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{%- set reasoning_content = message.reasoning_content %}
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| 44 |
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{%- else %}
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| 45 |
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{%- if '</think>' in message.content %}
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| 46 |
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{%- set content = (message.content.split('</think>')|last).lstrip('\n') %}
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| 47 |
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{%- set reasoning_content = (message.content.split('</think>')|first).rstrip('\n') %}
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| 48 |
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{%- set reasoning_content = (reasoning_content.split('<think>')|last).lstrip('\n') %}
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| 49 |
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{%- endif %}
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| 50 |
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{%- endif %}
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| 51 |
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{%- if loop.index0 > ns.last_query_index %}
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| 52 |
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{%- if loop.last or (not loop.last and reasoning_content) %}
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| 53 |
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
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| 54 |
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{%- else %}
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| 55 |
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{{- '<|im_start|>' + message.role + '\n' + content }}
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| 56 |
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{%- endif %}
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| 57 |
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{%- else %}
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| 58 |
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{{- '<|im_start|>' + message.role + '\n' + content }}
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| 59 |
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{%- endif %}
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| 60 |
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{%- if message.tool_calls %}
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| 61 |
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{%- for tool_call in message.tool_calls %}
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| 62 |
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{%- if (loop.first and content) or (not loop.first) %}
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| 63 |
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{{- '\n' }}
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| 64 |
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{%- endif %}
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| 65 |
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{%- if tool_call.function %}
|
| 66 |
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{%- set tool_call = tool_call.function %}
|
| 67 |
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{%- endif %}
|
| 68 |
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{{- '<tool_call>\n{"name": "' }}
|
| 69 |
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{{- tool_call.name }}
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| 70 |
+
{{- '", "arguments": ' }}
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| 71 |
+
{%- if tool_call.arguments is string %}
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| 72 |
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{{- tool_call.arguments }}
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| 73 |
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{%- else %}
|
| 74 |
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{{- tool_call.arguments | tojson }}
|
| 75 |
+
{%- endif %}
|
| 76 |
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{{- '}\n</tool_call>' }}
|
| 77 |
+
{%- endfor %}
|
| 78 |
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{%- endif %}
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| 79 |
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{{- '<|im_end|>\n' }}
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| 80 |
+
{%- elif message.role == "tool" %}
|
| 81 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 82 |
+
{{- '<|im_start|>user' }}
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| 83 |
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{%- endif %}
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| 84 |
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{{- '\n<tool_response>\n' }}
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| 85 |
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{{- message.content }}
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| 86 |
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{{- '\n</tool_response>' }}
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| 87 |
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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| 88 |
+
{{- '<|im_end|>\n' }}
|
| 89 |
+
{%- endif %}
|
| 90 |
+
{%- endif %}
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| 91 |
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{%- endfor %}
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| 92 |
+
{%- if add_generation_prompt %}
|
| 93 |
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{{- '<|im_start|>assistant\n' }}
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| 94 |
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{%- if enable_thinking is defined and enable_thinking is false %}
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| 95 |
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{{- '<think>\n\n</think>\n\n' }}
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| 96 |
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{%- endif %}
|
| 97 |
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{%- endif %}
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config.json
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{
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| 2 |
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"architectures": [
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| 3 |
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"MT5ForConditionalGeneration"
|
| 4 |
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],
|
| 5 |
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"classifier_dropout": 0.0,
|
| 6 |
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"d_ff": 1024,
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| 7 |
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"d_kv": 64,
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| 8 |
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"d_model": 512,
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| 9 |
+
"decoder_start_token_id": 0,
|
| 10 |
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"dense_act_fn": "gelu_new",
|
| 11 |
+
"dropout_rate": 0.1,
|
| 12 |
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"eos_token_id": 1,
|
| 13 |
+
"feed_forward_proj": "gated-gelu",
|
| 14 |
+
"initializer_factor": 1.0,
|
| 15 |
+
"is_encoder_decoder": true,
|
| 16 |
+
"is_gated_act": true,
|
| 17 |
+
"layer_norm_epsilon": 1e-06,
|
| 18 |
+
"model_type": "mt5",
|
| 19 |
+
"num_decoder_layers": 8,
|
| 20 |
+
"num_heads": 6,
|
| 21 |
+
"num_layers": 8,
|
| 22 |
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"pad_token_id": 0,
|
| 23 |
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"relative_attention_max_distance": 128,
|
| 24 |
+
"relative_attention_num_buckets": 32,
|
| 25 |
+
"tie_word_embeddings": false,
|
| 26 |
+
"tokenizer_class": "T5Tokenizer",
|
| 27 |
+
"torch_dtype": "float16",
|
| 28 |
+
"transformers_version": "4.52.4",
|
| 29 |
+
"use_cache": true,
|
| 30 |
+
"vocab_size": 32596
|
| 31 |
+
}
|
merges.txt
ADDED
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model.safetensors
ADDED
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:176c641a7a0897da0cb524d68a96e06fcf6964568f37650026db8d30546614d6
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| 3 |
+
size 221659920
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,23 @@
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|
| 1 |
+
{
|
| 2 |
+
"eos_token": {
|
| 3 |
+
"content": "</s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"pad_token": {
|
| 10 |
+
"content": "<pad>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"unk_token": {
|
| 17 |
+
"content": "<unk>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
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"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
}
|
| 23 |
+
}
|
spiece.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:c65feffa65ff0378759778193852083d23349cb1b40c906e9463a12f8076ff32
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| 3 |
+
size 680811
|
tokenizer.json
ADDED
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tokenizer_config.json
ADDED
|
@@ -0,0 +1,39 @@
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|
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": null,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"0": {
|
| 5 |
+
"content": "<pad>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": false,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"1": {
|
| 13 |
+
"content": "</s>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"2": {
|
| 21 |
+
"content": "<unk>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
}
|
| 28 |
+
},
|
| 29 |
+
"additional_special_tokens": [],
|
| 30 |
+
"clean_up_tokenization_spaces": false,
|
| 31 |
+
"eos_token": "</s>",
|
| 32 |
+
"extra_ids": 0,
|
| 33 |
+
"extra_special_tokens": {},
|
| 34 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 35 |
+
"pad_token": "<pad>",
|
| 36 |
+
"sp_model_kwargs": {},
|
| 37 |
+
"tokenizer_class": "T5Tokenizer",
|
| 38 |
+
"unk_token": "<unk>"
|
| 39 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
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|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:a7ea4a0706299e08193e8fa0648801847dad33797ff6de59315faef41fd6564f
|
| 3 |
+
size 7441
|
vocab.json
ADDED
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|