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--- |
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license: apache-2.0 |
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model-index: |
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- name: Laser-WestLake-2x7b |
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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: 72.27 |
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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=macadeliccc/Laser-WestLake-2x7b |
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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: 88.44 |
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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=macadeliccc/Laser-WestLake-2x7b |
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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: 64.71 |
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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=macadeliccc/Laser-WestLake-2x7b |
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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: 69.25 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/Laser-WestLake-2x7b |
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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: 85.79 |
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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=macadeliccc/Laser-WestLake-2x7b |
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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: 63.53 |
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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=macadeliccc/Laser-WestLake-2x7b |
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name: Open LLM Leaderboard |
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--- |
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# Laser-Westlake-2x7B |
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This model is a moerge of [cognitivecomputations/WestLake-7B-v2-laser](https://huggingface.co/cognitivecomputations/WestLake-7B-v2-laser) and [SanjiWatsuki/Kunoichi-DPO-v2-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-DPO-v2-7B) |
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## Process |
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+ WestLake-7B-v2-laser is the base model and one of the experts rather than utilizing 3 different models. |
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+ Will attempt to laser the final product as well, but given that the base has already been lasered it may not work out. |
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+ I have another version using the original, non-lasered WestLake-7B that I will also attempt to laser and report the differences. |
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# Usage |
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Usage is the same as the [original WestLake-7B](https://huggingface.co/senseable/WestLake-7B-v2) |
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## GGUF |
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Available [here](https://huggingface.co/macadeliccc/Laser-WestLake-2x7b-GGUF) |
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## Evaluations |
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<pre>----Benchmark Complete---- |
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2024-01-27 19:12:49 |
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Time taken: 24.3 mins |
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Prompt Format: ChatML |
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Model: macadeliccc/Laser-WestLake-2x7b-GGUF |
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Score (v2): 75.42 |
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Parseable: 171.0 |
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--------------- |
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Batch completed |
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Time taken: 24.4 mins |
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--------------- |
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</pre> |
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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_macadeliccc__Laser-WestLake-2x7b) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |74.00| |
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|AI2 Reasoning Challenge (25-Shot)|72.27| |
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|HellaSwag (10-Shot) |88.44| |
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|MMLU (5-Shot) |64.71| |
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|TruthfulQA (0-shot) |69.25| |
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|Winogrande (5-shot) |85.79| |
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|GSM8k (5-shot) |63.53| |
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