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Model: haiyewon/Decomposer-Qwen3-8B Source: Original Platform
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README.md
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---
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license: apache-2.0
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library_name: transformers
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pipeline_tag: text-generation
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base_model: Qwen/Qwen3-8B
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datasets:
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- haiyewon/Strudel-Synth
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language:
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- en
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tags:
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- music
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- midi
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- strudel
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- symbolic-music
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- music-decompilation
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- code-generation
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- qwen3
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---
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# Decomposer
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**Decomposer** decompiles symbolic music (MIDI) into executable **Strudel** programs.
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This model is the **8B** model from the paper *Decomposer: Learning to Decompile Symbolic Music to Programs*, post-trained from **Qwen3-8B**.
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- 📄 **Paper:** [arXiv:2607.01849](https://arxiv.org/abs/2607.01849)
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- 🌐 **Project page:** [yewon-kim.com/decomposer](https://yewon-kim.com/decomposer)
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- 🎹 **Live demo:** [haiyewon/decomposer-demo](https://huggingface.co/spaces/haiyewon/decomposer-demo)
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- 💻 **Code:** [github.com/elianakim/Decomposer](https://github.com/elianakim/Decomposer)
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- 🤗 **Dataset:** [haiyewon/Strudel-Synth](https://huggingface.co/datasets/haiyewon/Strudel-Synth)
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## Model Description
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- **Base model:** [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B)
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- **Model size:** 8.2B
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- **Type:** Causal Language Model
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- **Precision:** bfloat16
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## Quick Start
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Clone our [GitHub code repo](https://github.com/elianakim/Decomposer), run through the setup steps, and try:
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```bash
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git clone https://github.com/elianakim/Decomposer.git
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cd Decomposer
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uv sync
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uv run generate_transformers.py \
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--model haiyewon/Decomposer-Qwen3-8B \
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--midi_path path/to/input.mid \
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--n_outputs 5
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```
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The repo and inference scripts provide a more complete usage guide.
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<!-- , including the
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MIDI→text preprocessing (`MidiToText`) and the decompilation prompt -->
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## Model Details
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### Input Format
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MIDI is serialized as instrument-wise note events. Onsets are given in
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[**cycle coordinates**](https://strudel.cc/understand/cycles) instead of seconds:
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```
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[BPM=120 Meter=4]
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[acoustic_grand_piano] C4@0.00 E4@0.25 G4@0.50 C5@1.00
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[drum] bass_drum@0.00 closed_hi_hat@0.25 closed_hi_hat@0.50 snare@0.75
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```
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- **Header** `[BPM=… Meter=…]` — tempo/meter; if absent, [madmom](https://github.com/CPJKU/madmom) is used to estimate them.
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- **Events** — one line per instrument, `pitch@cycle_onset` tokens; melodic pitches as note
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names (`C4`, `F#3`), drums as GM drum names (`bass_drum`, `closed_hi_hat`).
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### Training Data
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**[Strudel-Synth](https://huggingface.co/datasets/haiyewon/Strudel-Synth)** is a synthetic corpus of **21,174 (MIDI, Strudel) pairs**
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(20,152 train / 1,022 test) built by distilling Strudel programs from Claude-Opus-4.6
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and rendering each to MIDI with the Strudel runtime. Its ~20K training split is divided
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into two disjoint ~10K halves, one per stage:
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- **SFT** uses the first half as paired (MIDI, Strudel) examples.
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- **RL** uses the second half (MIDI only), plus short-fragment (<30 s) [LMD](https://colinraffel.com/projects/lmd/) MIDI.
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### Inference Hyperparameters
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Recommended settings matching the paper evaluation:
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| Setting | Value |
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|---|---|
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| `temperature` | 1.0 |
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| `max_new_tokens` | 4096 |
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| `enable_thinking` | `false` |
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## Citation
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If you find our model useful, please cite our research as
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```bibtex
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@article{kim2026decomposer,
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title = {Decomposer: Learning to Decompile Symbolic Music to Programs},
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author = {Kim, Yewon and Gandhi, Apurva and Chung, David and Neubig, Graham and Donahue, Chris},
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journal = {arXiv preprint arXiv:2607.01849},
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year = {2026}
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}
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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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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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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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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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{%- for message in messages[::-1] %}
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{%- set index = (messages|length - 1) - loop.index0 %}
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{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
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{%- set ns.multi_step_tool = false %}
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{%- set ns.last_query_index = index %}
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{%- endif %}
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{%- endfor %}
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{%- for message in messages %}
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{%- if message.content is string %}
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{%- set content = message.content %}
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{%- else %}
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{%- set content = '' %}
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{%- endif %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{%- set reasoning_content = '' %}
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{%- if message.reasoning_content is string %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- else %}
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{%- if '</think>' in content %}
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{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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{%- set content = content.split('</think>')[-1].lstrip('\n') %}
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{%- endif %}
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{%- endif %}
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{%- if loop.index0 > ns.last_query_index %}
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{%- if loop.last or (not loop.last and reasoning_content) %}
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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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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- if message.tool_calls %}
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{%- for tool_call in message.tool_calls %}
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{%- if (loop.first and content) or (not loop.first) %}
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{{- '\n' }}
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{%- endif %}
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{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{%- if tool_call.arguments is string %}
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{{- tool_call.arguments }}
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{%- else %}
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{{- tool_call.arguments | tojson }}
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{%- endif %}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- content }}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- if enable_thinking is defined and enable_thinking is false %}
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{{- '<think>\n\n</think>\n\n' }}
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{%- endif %}
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{%- endif %}
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71
config.json
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config.json
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{
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"architectures": [
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"Qwen3ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"dtype": "bfloat16",
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"full_attention",
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"full_attention",
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"full_attention",
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"max_position_embeddings": 40960,
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"max_window_layers": 36,
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"model_type": "qwen3",
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"num_attention_heads": 32,
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"num_hidden_layers": 36,
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"num_key_value_heads": 8,
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"pad_token_id": null,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"rope_type": "default"
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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generation_config.json
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generation_config.json
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{
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"bos_token_id": 151643,
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"do_sample": true,
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"eos_token_id": [
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151645,
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],
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"temperature": 0.6,
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"top_k": 20,
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"top_p": 0.95,
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"transformers_version": "5.3.0.dev0"
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}
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3
model.safetensors
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3
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8e04746ccb4af5c25c450d75a49b2ba70b250a99f6b3c8542fcfaea38b8e5320
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size 16381517208
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3
tokenizer.json
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3
tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
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size 11422650
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29
tokenizer_config.json
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29
tokenizer_config.json
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{
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"add_prefix_space": false,
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"backend": "tokenizers",
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"bos_token": null,
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"clean_up_tokenization_spaces": false,
|
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"eos_token": "<|im_end|>",
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"errors": "replace",
|
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"extra_special_tokens": [
|
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"<|im_start|>",
|
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"<|im_end|>",
|
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"<|object_ref_start|>",
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"<|object_ref_end|>",
|
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"<|box_start|>",
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"<|box_end|>",
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"<|quad_start|>",
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"<|quad_end|>",
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"<|vision_start|>",
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"<|vision_end|>",
|
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"<|vision_pad|>",
|
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"<|image_pad|>",
|
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"<|video_pad|>"
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],
|
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"is_local": true,
|
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"model_max_length": 131072,
|
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"pad_token": "<|endoftext|>",
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"split_special_tokens": false,
|
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"tokenizer_class": "Qwen2Tokenizer",
|
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"unk_token": null
|
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}
|
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