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--- |
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license: cc-by-4.0 |
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tags: |
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- merge |
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- moe |
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model-index: |
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- name: Open_Gpt4_8x7B_v0.2 |
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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: AI2 Reasoning Challenge (25-Shot) |
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type: ai2_arc |
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config: ARC-Challenge |
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split: test |
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args: |
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num_few_shot: 25 |
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metrics: |
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- type: acc_norm |
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value: 68.69 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rombodawg/Open_Gpt4_8x7B_v0.2 |
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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: HellaSwag (10-Shot) |
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type: hellaswag |
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split: validation |
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args: |
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num_few_shot: 10 |
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metrics: |
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- type: acc_norm |
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value: 86.16 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rombodawg/Open_Gpt4_8x7B_v0.2 |
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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 (5-Shot) |
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type: cais/mmlu |
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config: all |
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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: 72.07 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rombodawg/Open_Gpt4_8x7B_v0.2 |
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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: TruthfulQA (0-shot) |
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type: truthful_qa |
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config: multiple_choice |
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split: validation |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: mc2 |
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value: 71.92 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rombodawg/Open_Gpt4_8x7B_v0.2 |
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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: Winogrande (5-shot) |
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type: winogrande |
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config: winogrande_xl |
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split: validation |
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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: 83.58 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rombodawg/Open_Gpt4_8x7B_v0.2 |
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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: GSM8k (5-shot) |
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type: gsm8k |
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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: 59.14 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rombodawg/Open_Gpt4_8x7B_v0.2 |
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name: Open LLM Leaderboard |
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--- |
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Open_Gpt4_v0.2 |
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This is the un-quantized fp16 version for training and merging. If you want the quantized version for inference please refer to the repo bellow: |
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- https://huggingface.co/rombodawg/Open_Gpt4_8x7B_v0.2_q8_0_gguf |
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This model is a TIES merger of Mixtral-8x7B-Instruct-v0.1 and bagel-dpo-8x7b-v0.2 with MixtralOrochi8x7B being the Base model. |
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I was very impressed with MixtralOrochi8x7B performance and multifaceted usecases as it is already a merger of many usefull Mixtral models such as Mixtral instruct, |
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Noromaid-v0.1-mixtral, openbuddy-mixtral and possibly other models that were not named. My goal was to expand the models capabilities and make it even more useful of a model, maybe even competitive with closed source models like Gpt-4. But for that more testing is required. I hope the community can help me determine if its deserving of its name. 😊 |
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This is the second iteration of this model, using better models in the merger to improve performance (hopefully). |
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Base model: |
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- https://huggingface.co/smelborp/MixtralOrochi8x7B |
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Merged models: |
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- https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1 |
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- https://huggingface.co/jondurbin/bagel-dpo-8x7b-v0.2 |
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Instruct template: Alpaca |
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Merger config: |
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```yaml |
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models: |
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- model: Mixtral-8x7B-Instruct-v0.1 |
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parameters: |
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density: .5 |
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weight: 1 |
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- model: bagel-dpo-8x7b-v0.2 |
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parameters: |
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density: .5 |
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weight: .7 |
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merge_method: ties |
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base_model: MixtralOrochi8x7B |
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parameters: |
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normalize: true |
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int8_mask: true |
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dtype: float16 |
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``` |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_rombodawg__Open_Gpt4_8x7B_v0.2) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |73.59| |
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|AI2 Reasoning Challenge (25-Shot)|68.69| |
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|HellaSwag (10-Shot) |86.16| |
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|MMLU (5-Shot) |72.07| |
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|TruthfulQA (0-shot) |71.92| |
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|Winogrande (5-shot) |83.58| |
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|GSM8k (5-shot) |59.14| |
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