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--- |
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arxiv: |
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language: |
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- en |
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license: cc-by-nc-4.0 |
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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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- not-for-all-audiences |
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base_model: |
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- cognitivecomputations/WestLake-7B-v2-laser |
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- NeverSleep/Noromaid-7B-0.4-DPO |
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- teknium/OpenHermes-2.5-Mistral-7B |
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- mistralai/Mistral-7B-v0.1 |
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- Intel/neural-chat-7b-v3-3 |
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model-index: |
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- name: WestLake_Noromaid_OpenHermes_neural-chatv0.1 |
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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: EQ-Bench |
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type: eq-bench |
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config: EQ-Bench |
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split: v2 |
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args: |
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num_few_shot: 1 |
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metrics: |
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- type: acc_norm |
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value: 65.56 |
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name: normalized accuracy |
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source: |
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url: https://github.com/EQ-bench/EQ-Bench |
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name: EQ-Bench v2.1 |
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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: 66.72 |
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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=giraffe176/WestLake_Noromaid_OpenHermes_neural-chatv0.1 |
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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: 85.37 |
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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=giraffe176/WestLake_Noromaid_OpenHermes_neural-chatv0.1 |
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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: 64.67 |
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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=giraffe176/WestLake_Noromaid_OpenHermes_neural-chatv0.1 |
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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: 51.5 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=giraffe176/WestLake_Noromaid_OpenHermes_neural-chatv0.1 |
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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: 79.72 |
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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=giraffe176/WestLake_Noromaid_OpenHermes_neural-chatv0.1 |
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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: 65.2 |
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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=giraffe176/WestLake_Noromaid_OpenHermes_neural-chatv0.1 |
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name: Open LLM Leaderboard |
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--- |
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# WestLake_Noromaid_OpenHermes_neural-chatv0.1 |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/655a9883cbbaec115c3fd6b3/ElrkYfCq7kNW9zxZhXWEz.png" alt="drawing" width="800"/> |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). DPO training data has been used to slightly uncensor the LLM. |
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The model's focus is in conversational roleplay. In limited testing, I've been very happy with the result. It has been able to pick up stories where other models have failed or started to loop their responses, and it seems to pace the story well. |
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## Merge Details |
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### Merge Method |
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This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) as a base. |
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### Models Merged |
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The following models were included in the merge: |
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* [cognitivecomputations/WestLake-7B-v2-laser](https://huggingface.co/cognitivecomputations/WestLake-7B-v2-laser) |
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* [NeverSleep/Noromaid-7B-0.4-DPO](https://huggingface.co/NeverSleep/Noromaid-7B-0.4-DPO) |
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* [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) |
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* [Intel/neural-chat-7b-v3-3](https://huggingface.co/Intel/neural-chat-7b-v3-3) |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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models: |
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- model: mistralai/Mistral-7B-v0.1 |
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# No parameters necessary for base model |
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- model: cognitivecomputations/WestLake-7B-v2-laser |
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parameters: |
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density: 0.55 |
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weight: 0.15 |
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- model: NeverSleep/Noromaid-7B-0.4-DPO |
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parameters: |
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density: 0.55 |
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weight: 0.35 |
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- model: teknium/OpenHermes-2.5-Mistral-7B |
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parameters: |
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density: 0.55 |
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weight: 0.30 |
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- model: Intel/neural-chat-7b-v3-3 |
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parameters: |
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density: 0.55 |
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weight: 0.20 |
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merge_method: dare_ties |
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base_model: mistralai/Mistral-7B-v0.1 |
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parameters: |
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int8_mask: true |
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dtype: bfloat16 |
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``` |
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### Benchmark Testing |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/655a9883cbbaec115c3fd6b3/sO_QybG17FYdT47FyAcMs.png" alt="drawing" width="800"/> |
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| | MT-Bench | EQ-Bench v2.1 | |
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|---------------------------------------------------------|---------------------------------------------|---------------------------------------------| |
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| giraffe176/WestLake_Noromaid_OpenHermes_neural-chatv0.1 | 7.171875 | 65.56 | |
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| | [(Paper)](https://arxiv.org/abs/2306.05685) | [(Paper)](https://arxiv.org/abs/2312.06281) | |
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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_giraffe176__WestLake_Noromaid_OpenHermes_neural-chatv0.1) |
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| | Avg. | AI2 (25-Shot) | HellaSwag (10-Shot) | MMLU (5-Shot) | TruthfulQA (0-shot) | Winogrande (5-shot) | GSM8k (5-shot) | |
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|:-----------------------------------------:|-------|-----------------------------------|---------------------|---------------|---------------------|---------------------|----------------| |
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| This model | 68.86 | 66.72 | 85.37 | 64.67 | 51.50 | 79.72 | 65.20 | |
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| cognitivecomputations/WestLake-7B-v2-laser| **74.78** | 73.29 | **88.66** | **64.72** | **67.04** | **86.74** | **68.23** | |
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| NeverSleep/Noromaid-7B-0.4-DPO | 59.08 | 62.29 | 84.32 | 63.2 | 42.28 | 76.95 | 25.47 | |
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| teknium/OpenHermes-2.5-Mistral-7B | 61.52 | 64.93 | 84.18 | 63.64 | 52.24 | 78.06 | 26.08 | |
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| Intel/neural-chat-7b-v3-3 | 69.83 | **66.89** | 85.26 | 63.07 | 63.01 | 79.64 | 61.11 | |
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### DPO training data used: |
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- unalignment/toxic-dpo-v0.2 (Curated version) |
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