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--- |
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base_model: |
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- Qwen/Qwen2.5-Coder-32B |
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- Qwen/Qwen2.5-Coder-32B-Instruct |
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- tanliboy/lambda-qwen2.5-32b-dpo-test |
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- deepcogito/cogito-v1-preview-qwen-32B |
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- Qwen/Qwen2.5-32B-Instruct |
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- Qwen/QwQ-32B |
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- fblgit/TheBeagle-v2beta-32B-MGS |
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- Skywork/Skywork-OR1-32B-Preview |
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- qihoo360/Light-R1-32B |
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- AXCXEPT/EZO-Qwen2.5-32B-Instruct |
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- Qwen/Qwen2.5-32B |
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- EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2 |
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- arcee-ai/Virtuoso-Medium-v2 |
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- Azure99/Blossom-V6-32B |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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license: apache-2.0 |
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language: |
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- en |
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- zh |
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pipeline_tag: text-generation |
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--- |
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# Qwen2.5-32B-YOYO-V2 |
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*The YOYO Second Generation **32B** Model is Released!* |
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***Highlights:*** |
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*1. Using the **Karcher** merging method.* |
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*2. Integrating **high-performance 32B models** from the open-source community.* |
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## First stage: |
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*Make a code model:* |
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```yaml |
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models: |
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- model: Qwen/Qwen2.5-Coder-32B-instruct |
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parameters: |
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density: 1 |
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weight: 1 |
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lambda: 0.9 |
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merge_method: della |
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base_model: Qwen/Qwen2.5-Coder-32B |
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parameters: |
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density: 1 |
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weight: 1 |
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lambda: 0.9 |
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normalize: true |
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int8_mask: true |
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dtype: bfloat16 |
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name: YOYO-AI/Qwen2.5-Coder-32B-YOYO |
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``` |
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## Second stage: |
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*Make an instruction model:* |
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```yaml |
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models: |
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- model: YOYO-AI/Qwen2.5-Coder-32B-YOYO |
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- model: Qwen/QwQ-32B |
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- model: Skywork/Skywork-OR1-32B-Preview |
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- model: deepcogito/cogito-v1-preview-qwen-32B |
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- model: qihoo360/Light-R1-32B |
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- model: AXCXEPT/EZO-Qwen2.5-32B-Instruct |
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- model: fblgit/TheBeagle-v2beta-32B-MGS |
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- model: tanliboy/lambda-qwen2.5-32b-dpo-test |
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- model: Qwen/Qwen2.5-32B-Instruct |
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merge_method: karcher |
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base_model: Qwen/Qwen2.5-32B-Instruct |
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parameters: |
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max_iter: 1000 |
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normalize: true |
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int8_mask: true |
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tokenizer_source: base |
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dtype: float16 |
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name: YOYO-AI/Qwen2.5-32B-YOYO-karcher |
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``` |
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## Third stage: |
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*Make a base model:* |
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```yaml |
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models: |
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- model: EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2 |
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- model: Azure99/Blossom-V6-32B |
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- model: arcee-ai/Virtuoso-Medium-v2 |
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merge_method: karcher |
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base_model: Qwen/Qwen2.5-32B |
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parameters: |
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max_iter: 1000 |
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normalize: true |
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int8_mask: true |
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tokenizer_source: base |
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dtype: float16 |
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name: YOYO-AI/Qwen2.5-32B-YOYO-karcher-base |
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``` |
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## Final stage: |
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```yaml |
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models: |
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- model: YOYO-AI/Qwen2.5-32B-YOYO-karcher |
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parameters: |
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density: 1 |
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weight: 1 |
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lambda: 0.9 |
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merge_method: della |
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base_model: YOYO-AI/Qwen2.5-32B-YOYO-karcher-base |
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parameters: |
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density: 1 |
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weight: 1 |
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lambda: 0.9 |
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normalize: true |
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int8_mask: true |
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dtype: bfloat16 |
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tokenizer_source: base |
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name: YOYO-AI/Qwen2.5-32B-YOYO-V2 |
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``` |
