From 64d1875cc3978e826aabf3320df136d6f6bfa020 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Mon, 18 May 2026 04:00:36 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: TurkishCodeMan/Nanbeige4.1-3B-Gmail-Tool-Use Source: Original Platform --- .gitattributes | 36 ++++ README.md | 88 +++++++++ config.json | 34 ++++ generation_config.json | 7 + model-00001-of-00004.safetensors | 3 + model-00002-of-00004.safetensors | 3 + model-00003-of-00004.safetensors | 3 + model-00004-of-00004.safetensors | 3 + model.safetensors.index.json | 299 +++++++++++++++++++++++++++++++ special_tokens_map.json | 33 ++++ tokenizer.json | 3 + tokenizer.model | 3 + tokenizer_config.json | 103 +++++++++++ 13 files changed, 618 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 config.json create mode 100644 generation_config.json create mode 100644 model-00001-of-00004.safetensors create mode 100644 model-00002-of-00004.safetensors create mode 100644 model-00003-of-00004.safetensors create mode 100644 model-00004-of-00004.safetensors create mode 100644 model.safetensors.index.json create mode 100644 special_tokens_map.json create mode 100644 tokenizer.json create mode 100644 tokenizer.model create mode 100644 tokenizer_config.json diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..52373fe --- /dev/null +++ b/.gitattributes @@ -0,0 +1,36 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text +tokenizer.json filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..a4d9d84 --- /dev/null +++ b/README.md @@ -0,0 +1,88 @@ +--- +language: en +license: apache-2.0 +base_model: Nanbeige/Nanbeige4.1-3B +datasets: + - TurkishCodeMan/Nanbeige4.1-3B-Gmail-Tool-Use-Datasets +tags: + - tool-use + - gmail + - function-calling + - sft + - dpo +pipeline_tag: text-generation +--- + +# Nanbeige4.1-3B — Gmail Tool-Use (SFT + DPO) + +Fine-tuned version of [Nanbeige/Nanbeige4.1-3B](https://huggingface.co/Nanbeige/Nanbeige4.1-3B) +for Gmail tool-calling tasks using a two-stage training pipeline. + + +
+ Nanbeige Gmail Agent Chains +

+

📧 Nanbeige-4.1-3B Gmail Tool Use Agent

+

A hyper-aligned 3B parameter agent matching GPT-4o-mini performance inside LangGraph.

+
+ +
+ + +**Training datasets:** [TurkishCodeMan/Nanbeige4.1-3B-Gmail-Tool-Use-Datasets](https://huggingface.co/datasets/TurkishCodeMan/Nanbeige4.1-3B-Gmail-Tool-Use-Datasets) + +## Training Pipeline + +### Stage 1 — Supervised Fine-Tuning (SFT) +- **Dataset:** 740 multi-turn Gmail agent traces (`sft/traces_chatml_clean.jsonl`) +- **Format:** ChatML with tool_calls (OpenAI function-calling schema) +- **Method:** LoRA r=16, α=32, 7 target modules +- **Result:** loss 0.8464 → 0.1888 · PPL 2.33 → 1.21 + +### Stage 2 — Direct Preference Optimization (DPO) +- **Dataset:** 3223 preference pairs (`dpo/dpo_dataset.jsonl`) — 3 rejection strategies: + - `wrong_tool` — incorrect tool selected (~34%) + - `missing_args` — required arguments omitted (~32%) + - `bad_answer` — poor final response (~34%) +- **Method:** DPO β=0.1, sigmoid loss, LoRA r=16, `ref_model=None` (PEFT implicit ref) +- **Result:** val_loss=0.000765 · reward accuracy=100% · normalized margin=+0.52 + +## Supported Tools + +| Tool | Description | +|---|---| +| `search_emails` | Search Gmail inbox with filters | +| `read_email` | Read full email content by ID | +| `send_email` | Send a new email | +| `draft_email` | Create a draft | +| `modify_email` | Add/remove labels, mark read/unread | +| `download_attachment` | Download email attachment | + +## Usage + +```python +from transformers import AutoTokenizer, AutoModelForCausalLM +import torch + +model = AutoModelForCausalLM.from_pretrained( + "TurkishCodeMan/Nanbeige4.1-3B-Gmail-Tool-Use", + torch_dtype=torch.bfloat16, + trust_remote_code=True, +) +tokenizer = AutoTokenizer.from_pretrained( + "TurkishCodeMan/Nanbeige4.1-3B-Gmail-Tool-Use", + trust_remote_code=True, +) +``` + +## Training Details + +| Parameter | Value | +|---|---| +| Base model | Nanbeige/Nanbeige4.1-3B | +| SFT LoRA rank | 16 | +| DPO LoRA rank | 16 | +| DPO β | 0.1 | +| Max length | 2682 tokens | +| GPU | 1× RTX 4090 24GB | +| Framework | TRL 0.22 · Transformers 4.57 · PEFT 0.18 | diff --git 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'你是一位工具函数调用专家，你会得到一个问题和一组可能的工具函数。根据问题，你需要进行一个或多个函数/工具调用以实现目的，请尽量尝试探索通过工具解决问题。\n如果没有一个函数可以使用，请直接使用自然语言回复用户。\n如果给定的问题缺少函数所需的参数，请使用自然语言进行提问，向用户询问必要信息。\n如果调用结果已经足够回答用户问题，请对历史结果进行总结，使用自然语言回复用户。' }} \n {%- endif %}\n {{- \"# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within XML tags:\n\" }}\n {%- for tool in tools %}\n {{- \"\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\n\n\nFor each function call, return a json object with function name and arguments within XML tags:\n\n{\\\"name\\\": , \\\"arguments\\\": }\n<|im_end|>\n\" }}\n {%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}\n {%- else %} \n {{- '<|im_start|>system\n你是南北阁，一款由BOSS直聘自主研发并训练的专业大语言模型。<|im_end|>\n' }} \n {%- endif %}\n {%- endif %}\n {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n {%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" and message.content is string and not(message.content.startswith('') and message.content.endswith('')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n {%- endfor %}\n {%- for message in messages %}\n {%- if message.content is string %}\n {%- set content = message.content %}\n {%- else %}\n {%- set content = '' %}\n {%- endif %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is string %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '' in content %}\n {%- set reasoning_content = content.split('')[0].rstrip('\n').split('')[-1].lstrip('\n') %}\n {%- set content = content.split('')[-1].lstrip('\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index or keep_all_think or (extra_body is defined and extra_body.keep_all_think) %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>' + message.role + '\n\n' + reasoning_content.strip('\n') + '\n\n\n' + content.lstrip('\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\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' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\n\n' }}\n {{- content }}\n {{- '\n' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\n' }}\n {%- endif %}\n {%- endif %}\n {%- endfor %}\n {%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\n' }}\n {%- endif %}\n", + "clean_up_tokenization_spaces": false, + "eos_token": "<|im_end|>", + "extra_special_tokens": {}, + "legacy": true, + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "sp_model_kwargs": {}, + "spaces_between_special_tokens": false, + "tokenizer_class": "LlamaTokenizer", + "unk_token": "", + "use_default_system_prompt": false +}