From 48db891c082bb981b84a9f806a26609b111d2851 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Mon, 27 Jul 2026 08:43:10 +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: JoaoZaokk/Qwen3-4B-Thinking-2507-Heretic-CodeFeedback Source: Original Platform --- .gitattributes | 36 +++ README.md | 157 ++++++++++++ chat_template.jinja | 88 +++++++ config.json | 73 ++++++ generation_config.json | 7 + model-00001-of-00003.safetensors | 3 + model-00002-of-00003.safetensors | 3 + model-00003-of-00003.safetensors | 3 + model.safetensors.index.json | 406 +++++++++++++++++++++++++++++++ requirements-training.txt | 12 + tokenizer.json | 3 + tokenizer_config.json | 19 ++ 12 files changed, 810 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 chat_template.jinja create mode 100644 config.json create mode 100644 generation_config.json create mode 100644 model-00001-of-00003.safetensors create mode 100644 model-00002-of-00003.safetensors create mode 100644 model-00003-of-00003.safetensors create mode 100644 model.safetensors.index.json create mode 100644 requirements-training.txt create mode 100644 tokenizer.json 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..e4a1d9c --- /dev/null +++ b/README.md @@ -0,0 +1,157 @@ +ο»Ώ--- +license: other +language: + - en +base_model: + - JoaoZaokk/Qwen3-4B-Thinking-2507-MiniMax-M2.1-Distill-heretic +base_model_relation: finetune +library_name: transformers +pipeline_tag: text-generation +tags: + - qwen3 + - text-generation + - code + - python + - lora + - qlora + - safetensors + - merged + - heretic +datasets: + - iamtarun/python_code_instructions_18k_alpaca + - m-a-p/CodeFeedback-Filtered-Instruction +--- + +# Qwen3 4B Thinking 2507 Heretic CodeFeedback + +This is a merged code-focused fine-tune based on: + +[`JoaoZaokk/Qwen3-4B-Thinking-2507-MiniMax-M2.1-Distill-heretic`](https://huggingface.co/JoaoZaokk/Qwen3-4B-Thinking-2507-MiniMax-M2.1-Distill-heretic) + +The model was trained with QLoRA/LoRA on Python and code instruction datasets, then merged back into the base model. + +This repository contains the **full merged safetensors model**, not only a LoRA adapter. + +## Base model + +| Item | Value | +|---|---| +| Base model | `JoaoZaokk/Qwen3-4B-Thinking-2507-MiniMax-M2.1-Distill-heretic` | +| Architecture family | Qwen3 | +| Parameter count | 4B | +| Format | Hugging Face Transformers / safetensors | +| Tensor type | F16 | +| Fine-tuning method | QLoRA / LoRA | +| Final state | Merged model | + +## Training datasets + +| Dataset | Samples used | Notes | +|---|---:|---| +| `iamtarun/python_code_instructions_18k_alpaca` | 5,000 | Python instruction/code examples | +| `m-a-p/CodeFeedback-Filtered-Instruction` | 5,000 | Code instruction and feedback examples | + +A SWE-smith trajectory experiment was tested separately, but it was **not used** in this final merged version. + +## LoRA configuration + +| Parameter | Value | +|---|---:| +| LoRA rank | 16 | +| LoRA alpha | 32 | +| LoRA dropout | 0.05 | +| Sequence length | 2048 | +| Epochs per stage | 1 | +| Quantized loading | 4-bit NF4 | +| Trainable parameters | ~33M | +| Trainable percentage | ~0.81% | + +Target modules: + +- `q_proj` +- `k_proj` +- `v_proj` +- `o_proj` +- `gate_proj` +- `up_proj` +- `down_proj` + +## Training stages + +| Stage | Input adapter | Dataset | Output adapter | +|---|---|---|---| +| 1 | Base model | Python instructions 5k | `heretic_F_lora_python_5000` | +| 2 | `heretic_F_lora_python_5000` | CodeFeedback 5k | `heretic_F_lora_python5000_codefeedback5000` | +| Final | Base model + final adapter | Merge | Full safetensors model | + +## Training environment + +| Component | Version | +|---|---| +| Python | 3.11 | +| PyTorch | 2.11.0+cu128 | +| CUDA | 12.8 | +| Transformers | 5.10.2 | +| Datasets | 5.0.0 | +| Accelerate | 1.13.0 | +| PEFT | 0.19.1 | +| bitsandbytes | 0.49.2 | +| sentencepiece | 0.2.1 | +| tiktoken | 0.13.0 | +| protobuf | 7.35.0 | +| pandas | 3.0.3 | +| pyarrow | 24.0.0 | + +Training GPU: + +- NVIDIA GeForce RTX 3080 Ti 12 GB + +## Intended use + +This model is intended for local experimentation with: + +- Python code generation +- code explanation +- simple debugging +- instruction-following tests +- downstream conversion to GGUF, AWQ, GPTQ, or OpenVINO formats + +## Notes + +This is an experimental model. It may produce incorrect code, unsafe suggestions, or hallucinated explanations. Outputs should be reviewed before use in production or security-sensitive environments. + +## Hardware compatibility estimate + +This table is an approximate guide for the current **merged F16 safetensors** version. + +| Hardware / VRAM | Status | Notes | +|---|---|---| +| 6 GB VRAM | πŸ”΄ Unlikely | F16 weights are too large without heavy offload or quantization. | +| 8 GB VRAM | πŸ”΄ Very tight | May fail or require CPU offload. Use GGUF/AWQ/INT4 instead. | +| 10 GB VRAM | 🟑 Possible | May run with low context and careful memory settings. | +| 12 GB VRAM | 🟒 Likely | Tested training/inference workflow on RTX 3080 Ti 12 GB with 4-bit loading. | +| 16 GB VRAM | 🟒 Good | Comfortable for normal local inference. | +| 24 GB VRAM | 🟒 Very good | Recommended for larger context, conversion, quantization, and experiments. | +| 32 GB+ RAM CPU-only | 🟑 Possible | Slow. Better with GGUF quantized versions. | + +### Quantized versions + +Planned/recommended export formats: + +| Format | Status | Expected use | +|---|---|---| +| F16 safetensors | 🟒 Current | Full merged model, best source for conversion. | +| AWQ 4-bit | 🟑 Planned | Better for GPU/server inference, mainly CUDA/Linux or compatible runtimes. | +| OpenVINO INT4 / AWQ-style compression | 🟒 Planned for Intel Arc | Recommended path for Intel Arc/OpenVINO. | +| GGUF Q5_K_M / Q6_K / Q8_0 | 🟑 Planned | Recommended for LM Studio, llama.cpp, Ollama, CPU/GPU mixed inference. | + +### Practical recommendation + +For this repository, use the current F16 safetensors model as the **master model**. + +For actual local use: + +- RTX 3080 Ti 12 GB or better: F16 may work, but quantized versions are preferred. +- RTX 3090 24 GB: F16 and quantization workflows are much more comfortable. +- Intel Arc: convert this model to OpenVINO INT4 instead of using CUDA-focused AWQ. +- Low VRAM systems: wait for GGUF or INT4 builds. diff --git a/chat_template.jinja b/chat_template.jinja new file mode 100644 index 0000000..82d6afc --- /dev/null +++ b/chat_template.jinja @@ -0,0 +1,88 @@ +{%- 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 %} +{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %} +{%- for message in messages[::-1] %} + {%- set index = (messages|length - 1) - loop.index0 %} + {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('') and message.content.endswith('')) %} + {%- set ns.multi_step_tool = false %} + {%- set ns.last_query_index = index %} + {%- endif %} +{%- endfor %} +{%- 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" %} + {%- set reasoning_content = '' %} + {%- if message.reasoning_content is string %} + {%- set reasoning_content = message.reasoning_content %} + {%- else %} + {%- if '' in content %} + {%- set reasoning_content = content.split('')[0].rstrip('\n').split('')[-1].lstrip('\n') %} + {%- set content = content.split('')[-1].lstrip('\n') %} + {%- endif %} + {%- endif %} + {%- if loop.index0 > ns.last_query_index %} + {%- if loop.last or (not loop.last and reasoning_content) %} + {{- '<|im_start|>' + message.role + '\n\n' + reasoning_content.strip('\n') + '\n\n\n' + content.lstrip('\n') }} + {%- else %} + {{- '<|im_start|>' + message.role + '\n' + content }} + {%- endif %} + {%- else %} + {{- '<|im_start|>' + message.role + '\n' + content }} + {%- endif %} + {%- 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 + +' }} +{%- endif %} \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..d0cd44c --- /dev/null +++ b/config.json @@ -0,0 +1,73 @@ +{ + "architectures": [ + "Qwen3ForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": null, + "dtype": "float16", + "eos_token_id": 151645, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 2560, + "initializer_range": 0.02, + "intermediate_size": 9728, + "layer_types": [ + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + 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