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--- |
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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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base_model: |
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- Qwen/Qwen2.5-14B |
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- Azure99/Blossom-V6-14B |
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- arcee-ai/Virtuoso-Small-v2 |
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- Qwen/Qwen2.5-14B-Instruct |
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- Qwen/Qwen2.5-14B-Instruct-1M |
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pipeline_tag: text-generation |
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tags: |
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- merge |
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model-index: |
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- name: ZYH-LLM-Qwen2.5-14B-V3 |
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results: |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: IFEval (0-Shot) |
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type: HuggingFaceH4/ifeval |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: inst_level_strict_acc and prompt_level_strict_acc |
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value: 85.78 |
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name: strict accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=YOYO-AI/ZYH-LLM-Qwen2.5-14B-V3 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: BBH (3-Shot) |
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type: BBH |
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args: |
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num_few_shot: 3 |
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metrics: |
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- type: acc_norm |
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value: 48.18 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=YOYO-AI/ZYH-LLM-Qwen2.5-14B-V3 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MATH Lvl 5 (4-Shot) |
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type: hendrycks/competition_math |
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args: |
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num_few_shot: 4 |
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metrics: |
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- type: exact_match |
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value: 52.72 |
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name: exact match |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=YOYO-AI/ZYH-LLM-Qwen2.5-14B-V3 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: GPQA (0-shot) |
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type: Idavidrein/gpqa |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: acc_norm |
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value: 10.96 |
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name: acc_norm |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=YOYO-AI/ZYH-LLM-Qwen2.5-14B-V3 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MuSR (0-shot) |
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type: TAUR-Lab/MuSR |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: acc_norm |
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value: 9.00 |
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name: acc_norm |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=YOYO-AI/ZYH-LLM-Qwen2.5-14B-V3 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MMLU-PRO (5-shot) |
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type: TIGER-Lab/MMLU-Pro |
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config: main |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 43.12 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=YOYO-AI/ZYH-LLM-Qwen2.5-14B-V3 |
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name: Open LLM Leaderboard |
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--- |
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# ZYH-LLM-Qwen2.5-14B-V3 |
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This is the third-generation model of the **ZYH-LLM series**. |
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It employs a large amount of model merging techniques, aiming to provide a **powerful and unified 14-billion-parameter model**, laying a solid foundation for further model merging and model fine-tuning. |
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## As of February 25, 2025, the 14B model with the highest IFEval score |
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 |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/YOYO-AI__ZYH-LLM-Qwen2.5-14B-V3-details) |
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| Metric |Value| |
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|-------------------|----:| |
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|Avg. |41.63| |
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|IFEval (0-Shot) |85.78| |
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|BBH (3-Shot) |48.18| |
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|MATH Lvl 5 (4-Shot)|52.72| |
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|GPQA (0-shot) |10.96| |
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|MuSR (0-shot) |9.00| |
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|MMLU-PRO (5-shot) |43.12| |
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The following are the specific details of model merging, hoping to inspire you: |
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## First stage: |
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### Step 1: |
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```yaml |
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models: |
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- model: Qwen/Qwen2.5-14B-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/Qwen2.5-14B |
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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: Qwen2.5-14B-YOYO-1010 |
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``` |
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```yaml |
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models: |
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- model: Qwen/Qwen2.5-14B-Instruct-1M |
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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/Qwen2.5-14B |
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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: Qwen2.5-14B-YOYO-1010-1M |
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``` |
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```yaml |
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models: |
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- model: Qwen/Qwen2.5-14B-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: EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2 |
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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: EVA-Qwen2.5-14B-YOYO-1010 |
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``` |
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```yaml |
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models: |
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- model: Qwen/Qwen2.5-14B-Instruct-1M |
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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: EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2 |
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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: EVA-Qwen2.5-14B-YOYO-1010-1M |
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``` |
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### Step 2: |
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```yaml |
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models: |
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- model: EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2 |
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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/Qwen2.5-14B |
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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: EVA-Qwen2.5-14B-base |
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``` |
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```yaml |
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merge_method: sce |
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models: |
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- model: EVA-Qwen2.5-14B-base |
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base_model: Qwen/Qwen2.5-14B-Instruct-1M |
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parameters: |
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select_topk: 1 |
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dtype: bfloat16 |
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tokenizer_source: base |
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normalize: true |
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int8_mask: true |
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name: Qwen2.5-14B-pro |
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``` |
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### Step 3: |
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```yaml |
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models: |
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- model: Qwen2.5-14B-YOYO-1010-1M |
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- model: Qwen2.5-14B-YOYO-1010 |
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- model: EVA-Qwen2.5-14B-YOYO-1010-1M |
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- model: EVA-Qwen2.5-14B-YOYO-1010 |
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merge_method: sce |
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base_model: Qwen2.5-14B-pro |
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parameters: |
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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: ZYH-LLM-Qwen2.5-14B-V3-preview |
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``` |
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## Second stage: |
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```yaml |
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models: |
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- model: Qwen/Qwen2.5-14B-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: arcee-ai/Virtuoso-Small-v2 |
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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: Qwen2.5-14B-YOYO-della1 |
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``` |
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```yaml |
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models: |
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- model: Qwen/Qwen2.5-14B-Instruct-1M |
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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: arcee-ai/Virtuoso-Small-v2 |
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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: Qwen2.5-14B-YOYO-della2 |
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``` |
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```yaml |
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models: |
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- model: Qwen/Qwen2.5-14B-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: Azure99/Blossom-V6-14B |
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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: Qwen2.5-14B-YOYO-della3 |
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``` |
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```yaml |
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models: |
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- model: Qwen/Qwen2.5-14B-Instruct-1M |
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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: Azure99/Blossom-V6-14B |
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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: Qwen2.5-14B-YOYO-della4 |
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``` |
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## Final stage: |
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```yaml |
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merge_method: model_stock |
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base_model: ZYH-LLM-Qwen2.5-14B-V3-preview |
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models: |
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- model: Qwen2.5-14B-YOYO-della1 |
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- model: Qwen2.5-14B-YOYO-della2 |
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- model: Qwen2.5-14B-YOYO-della3 |
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- model: Qwen2.5-14B-YOYO-della4 |
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dtype: bfloat16 |
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tokenizer_source: base |
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int8_mask: true |
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normalize: true |
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name: ZYH-LLM-Qwen2.5-14B-V3 |
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``` |
