commit fd559f450ed09cf51b62806d19718b50d016feb5 Author: ModelHub XC Date: Wed Jun 10 03:42:12 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: LocoreMind/LocoOperator-4B Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..1e45496 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,53 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bin.* filter=lfs diff=lfs merge=lfs -text +*.bz2 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 +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack 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 +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +saved_model/**/* 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 +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zstandard filter=lfs diff=lfs merge=lfs -text +*.tfevents* filter=lfs diff=lfs merge=lfs -text +*.db* filter=lfs diff=lfs merge=lfs -text +*.ark* filter=lfs diff=lfs merge=lfs -text +**/*ckpt*data* filter=lfs diff=lfs merge=lfs -text +**/*ckpt*.meta filter=lfs diff=lfs merge=lfs -text +**/*ckpt*.index filter=lfs diff=lfs merge=lfs -text + +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.gguf* filter=lfs diff=lfs merge=lfs -text +*.ggml filter=lfs diff=lfs merge=lfs -text +*.llamafile* filter=lfs diff=lfs merge=lfs -text +*.pt2 filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text + +vocab.json filter=lfs diff=lfs merge=lfs -text +model-00002-of-00002.safetensors filter=lfs diff=lfs merge=lfs -text +merges.txt filter=lfs diff=lfs merge=lfs -text +model-00001-of-00002.safetensors filter=lfs diff=lfs merge=lfs -text +tokenizer.json filter=lfs diff=lfs merge=lfs -text \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..63e3cf6 --- /dev/null +++ b/README.md @@ -0,0 +1,173 @@ +--- +library_name: transformers +license: mit +base_model: Qwen/Qwen3-4B-Instruct-2507 +tags: + - code + - agent + - tool-calling + - distillation + - qwen3 + - gguf + - llama-cpp +language: + - en +pipeline_tag: text-generation +--- + +
+ LocoOperator +
+ +
+ +
+ +[![MODEL](https://img.shields.io/badge/Model-FFB300?style=for-the-badge&logo=huggingface&logoColor=white)](https://huggingface.co/LocoreMind/LocoOperator-4B) +[![GGUF](https://img.shields.io/badge/GGUF-FF6F00?style=for-the-badge&logo=huggingface&logoColor=white)](https://huggingface.co/LocoreMind/LocoOperator-4B-GGUF) +[![Blog](https://img.shields.io/badge/Blog-4285F4?style=for-the-badge&logo=google-chrome&logoColor=white)](https://locoremind.com/blog/loco-operator) +[![GitHub](https://img.shields.io/badge/GitHub-181717?style=for-the-badge&logo=github&logoColor=white)](https://github.com/LocoreMind/LocoOperator) +[![Colab](https://img.shields.io/badge/Colab-F9AB00?style=for-the-badge&logo=googlecolab&logoColor=white)](https://colab.research.google.com/github/LocoreMind/LocoOperator/blob/main/LocoOperator_4B.ipynb) + +
+ +## Introduction + +**LocoOperator-4B** is a 4B-parameter tool-calling agent model trained via knowledge distillation from **Qwen3-Coder-Next** inference traces. It specializes in multi-turn codebase exploration — reading files, searching code, and navigating project structures within a Claude Code-style agent loop. Designed as a local sub agent, it runs via llama.cpp at zero API cost. + +| | LocoOperator-4B | +|:--|:--| +| **Base Model** | [Qwen3-4B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507) | +| **Teacher Model** | Qwen3-Coder-Next | +| **Training Method** | Full-parameter SFT (distillation) | +| **Training Data** | 170,356 multi-turn conversation samples | +| **Max Sequence Length** | 16,384 tokens | +| **Training Hardware** | 4x NVIDIA H200 141GB SXM5 | +| **Training Time** | ~25 hours | +| **Framework** | MS-SWIFT | + +## Key Features + +- **Tool-Calling Agent**: Generates structured `` JSON for Read, Grep, Glob, Bash, Write, Edit, and Task (subagent delegation) +- **100% JSON Validity**: Every tool call is valid JSON with all required arguments — outperforming the teacher model (87.6%) +- **Local Deployment**: GGUF quantized, runs on Mac Studio via llama.cpp at zero API cost +- **Lightweight Explorer**: 4B parameters, optimized for fast codebase search and navigation +- **Multi-Turn**: Handles conversation depths of 3–33 messages with consistent tool-calling behavior + +## Performance + +Evaluated on 65 multi-turn conversation samples from diverse open-source projects (scipy, fastapi, arrow, attrs, gevent, gunicorn, etc.), with labels generated by Qwen3-Coder-Next. + +### Core Metrics + +| Metric | Score | +|:-------|:-----:| +| **Tool Call Presence Alignment** | **100%** (65/65) | +| **First Tool Type Match** | **65.6%** (40/61) | +| **JSON Validity** | **100%** (76/76) | +| **Argument Syntax Correctness** | **100%** (76/76) | + +The model perfectly learned *when* to use tools vs. when to respond with text (100% presence alignment). Tool type mismatches are between semantically similar tools (e.g. Grep vs Read) — different but often valid strategies. + +### Tool Distribution Comparison + +
+ Tool Distribution Comparison +
+ +### JSON & Argument Syntax Correctness + +| Model | JSON Valid | Argument Syntax Valid | +|:------|:---------:|:--------------------:| +| **LocoOperator-4B** | 76/76 (100%) | 76/76 (100%) | +| Qwen3-Coder-Next (teacher) | 89/89 (100%) | 78/89 (87.6%) | + +> LocoOperator-4B achieves perfect structured output. The teacher model has 11 tool calls with missing required arguments (empty `arguments: {}`). + +## Quick Start + +```python +from transformers import AutoModelForCausalLM, AutoTokenizer + +model_name = "LocoreMind/LocoOperator-4B" + +# load the tokenizer and the model +tokenizer = AutoTokenizer.from_pretrained(model_name) +model = AutoModelForCausalLM.from_pretrained( + model_name, + torch_dtype="auto", + device_map="auto" +) + +# prepare the messages +messages = [ + { + "role": "system", + "content": "You are a read-only codebase search specialist.\n\nCRITICAL CONSTRAINTS:\n1. STRICTLY READ-ONLY: You cannot create, edit, delete, move files, or run any state-changing commands. Use tools/bash ONLY for reading (e.g., ls, find, cat, grep).\n2. EFFICIENCY: Spawn multiple parallel tool calls for faster searching.\n3. OUTPUT RULES: \n - ALWAYS use absolute file paths.\n - STRICTLY NO EMOJIS in your response.\n - Output your final report directly. Do not use colons before tool calls.\n\nENV: Working directory is /Users/developer/workspace/code-analyzer (macOS, zsh)." + }, + { + "role": "user", + "content": "Analyze the Black codebase at `/Users/developer/workspace/code-analyzer/projects/black`.\nFind and explain:\n1. How Black discovers config files.\n2. The exact search order for config files.\n3. Supported config file formats.\n4. Where this configuration discovery logic lives in the codebase.\n\nReturn a comprehensive answer with relevant code snippets and absolute file paths." + } +] + +# prepare the model input +text = tokenizer.apply_chat_template( + messages, + tokenize=False, + add_generation_prompt=True, +) +model_inputs = tokenizer([text], return_tensors="pt").to(model.device) + +# conduct text completion +generated_ids = model.generate( + **model_inputs, + max_new_tokens=512, +) +output_ids = generated_ids[0][len(model_inputs.input_ids[0]):].tolist() + +content = tokenizer.decode(output_ids, skip_special_tokens=True) +print(content) +``` + +## Local Deployment + +For GGUF quantized deployment with llama.cpp, hybrid proxy routing, and batch analysis pipelines, refer to our [GitHub repository](https://github.com/LocoreMind/LocoOperator). + +## Training Details + +| Parameter | Value | +|:----------|:------| +| Base model | Qwen3-4B-Instruct-2507 | +| Teacher model | Qwen3-Coder-Next | +| Method | Full-parameter SFT | +| Training data | 170,356 samples | +| Hardware | 4x NVIDIA H200 141GB SXM5 | +| Parallelism | DDP (no DeepSpeed) | +| Precision | BF16 | +| Epochs | 1 | +| Batch size | 2/GPU, gradient accumulation 4 (effective batch 32) | +| Learning rate | 2e-5, warmup ratio 0.03 | +| Max sequence length | 16,384 tokens | +| Template | qwen3_nothinking | +| Framework | MS-SWIFT | +| Training time | ~25 hours | +| Checkpoint | Step 2524 | + +## Known Limitations + +- First-tool-type match is 65.6% — the model sometimes picks a different (but not necessarily wrong) tool than the teacher +- Tends to under-generate parallel tool calls compared to the teacher (76 vs 89 total calls across 65 samples) +- Preference for Bash over Read may indicate the model defaults to shell commands where file reads would be more appropriate +- Evaluated on 65 samples only; larger-scale evaluation needed + +## License + +MIT + +## Acknowledgments + +- [Qwen Team](https://huggingface.co/Qwen) for the 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prompt=['<|im_start|>user\\n{{QUERY}}<|im_end|>\\n<|im_start|>assistant\\n'], chat_sep=['<|im_end|>\\n'], suffix=['<|im_end|>\\n'], template_cls=, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system=None, auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='', history_thinking_prefix='')", + "_val_dataset_exists": false, + "hub": "", + "evaluation_strategy": "steps", + "training_args": "Seq2SeqTrainingArguments(output_dir='/home/shadeform/ms-swift/output/qwen3-4b-codebase-4xh200/v12-20260218-070215', overwrite_output_dir=False, do_train=False, do_eval=False, do_predict=False, eval_strategy=, prediction_loss_only=False, per_device_train_batch_size=2, per_device_eval_batch_size=1, per_gpu_train_batch_size=None, per_gpu_eval_batch_size=None, gradient_accumulation_steps=4, eval_accumulation_steps=None, eval_delay=0, torch_empty_cache_steps=None, learning_rate=2e-05, 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dataloader_num_workers=32, dataloader_prefetch_factor=2, past_index=-1, run_name='/home/shadeform/ms-swift/output/qwen3-4b-codebase-4xh200/v12-20260218-070215', disable_tqdm=False, remove_unused_columns=False, label_names=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, fsdp=[], fsdp_min_num_params=0, fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, fsdp_transformer_layer_cls_to_wrap=None, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), parallelism_config=None, deepspeed=None, label_smoothing_factor=0.0, optim=, optim_args=None, adafactor=False, group_by_length=False, length_column_name='length', report_to=['tensorboard'], project='huggingface', trackio_space_id='trackio', ddp_find_unused_parameters=None, 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use_liger_kernel=False, liger_kernel_config=None, eval_use_gather_object=False, average_tokens_across_devices=None, sortish_sampler=False, predict_with_generate=False, generation_max_length=None, generation_num_beams=None, generation_config=None, tuner_backend='peft', vit_gradient_checkpointing=True, router_aux_loss_coef=0.0, enable_dft_loss=False, enable_channel_loss=False, check_model=True, acc_strategy='token', train_dataloader_shuffle=True, max_epochs=None, aligner_lr=None, vit_lr=None, use_logits_to_keep=None, ds3_gather_for_generation=True, resume_only_model=False, optimizer=None, loss_type=None, eval_metric=None, callbacks=[], early_stop_interval=None, eval_use_evalscope=False, eval_dataset=[], eval_dataset_args=None, eval_limit=None, eval_generation_config=None, extra_eval_args=None, tuner_type='full', use_galore=False, galore_target_modules=None, galore_rank=128, galore_update_proj_gap=50, galore_scale=1.0, galore_proj_type='std', galore_optim_per_parameter=False, galore_with_embedding=False, galore_quantization=False, galore_proj_quant=False, galore_proj_bits=4, galore_proj_group_size=256, galore_cos_threshold=0.4, galore_gamma_proj=2, galore_queue_size=5, lisa_activated_layers=0, lisa_step_interval=20, use_flash_ckpt=False)" +} \ No newline at end of file diff --git a/assets/loco_operator.png b/assets/loco_operator.png new file mode 100644 index 0000000..f397b0c Binary files /dev/null and b/assets/loco_operator.png differ diff --git a/assets/tool_distribution.png b/assets/tool_distribution.png new file mode 100644 index 0000000..687aa62 Binary files /dev/null and b/assets/tool_distribution.png differ diff --git a/chat_template.jinja b/chat_template.jinja new file mode 100644 index 0000000..70adff8 --- /dev/null +++ b/chat_template.jinja @@ -0,0 +1,61 @@ +{%- if tools %} + {{- '<|im_start|>system\n' }} + {%- if messages[0].role == 'system' %} + {{- messages[0].content + '\n\n' }} + {%- endif %} + {{- "# 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" }} + {%- for tool in tools %} + {{- "\n" }} + {{- tool | tojson }} + {%- endfor %} + {{- "\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" }} +{%- else %} + {%- if messages[0].role == 'system' %} + {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }} + {%- endif %} +{%- endif %} +{%- for message in messages %} + {%- if message.content is string %} + {%- set content = message.content %} + {%- else %} + {%- set content = '' %} + {%- endif %} + {%- if (message.role == "user") or (message.role == "system" and not loop.first) %} + {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }} + {%- elif message.role == "assistant" %} + {{- '<|im_start|>' + message.role + '\n' + content }} + {%- if message.tool_calls %} + {%- for tool_call in message.tool_calls %} + {%- if (loop.first and content) or (not loop.first) %} + {{- '\n' }} + {%- endif %} + {%- if tool_call.function %} + {%- set tool_call = tool_call.function %} + {%- endif %} + {{- '\n{"name": "' }} + {{- tool_call.name }} + {{- '", "arguments": ' }} + {%- if tool_call.arguments is string %} + {{- tool_call.arguments }} + {%- else %} + {{- tool_call.arguments | tojson }} + {%- endif %} + {{- '}\n' }} + {%- endfor %} + {%- endif %} + {{- '<|im_end|>\n' }} + {%- elif message.role == "tool" %} + {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %} + {{- '<|im_start|>user' }} + {%- endif %} + {{- '\n\n' }} + {{- content }} + {{- '\n' }} + {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %} + {{- '<|im_end|>\n' }} + {%- endif %} + {%- endif %} +{%- endfor %} +{%- if add_generation_prompt %} + {{- '<|im_start|>assistant\n' }} +{%- endif %} \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..3c26b03 --- 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