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--- |
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base_model: |
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- uukuguy/speechless-code-mistral-7b-v1.0 |
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- upaya07/Arithmo2-Mistral-7B |
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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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model-index: |
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- name: sethuiyer/CodeCalc-Mistral-7B |
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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: 61.95 |
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name: normalized accuracy |
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source: |
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url: >- |
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/CodeCalc-Mistral-7B |
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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: 83.64 |
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name: normalized accuracy |
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source: |
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url: >- |
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/CodeCalc-Mistral-7B |
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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: 62.78 |
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name: accuracy |
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source: |
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url: >- |
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/CodeCalc-Mistral-7B |
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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: 47.49 |
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source: |
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url: >- |
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/CodeCalc-Mistral-7B |
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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: 78.3 |
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name: accuracy |
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source: |
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url: >- |
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/CodeCalc-Mistral-7B |
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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: >- |
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/CodeCalc-Mistral-7B |
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name: Open LLM Leaderboard |
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language: |
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- en |
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pipeline_tag: text-generation |
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--- |
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# CodeCalc-Mistral-7B |
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<p align="center"> |
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<img src="https://huggingface.co/sethuiyer/CodeCalc-Mistral-7B/resolve/main/codecalc.webp" height="128px" alt="CodeCalc"> |
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</p> |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
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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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base_model: uukuguy/speechless-code-mistral-7b-v1.0 |
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dtype: bfloat16 |
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merge_method: ties |
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models: |
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- model: uukuguy/speechless-code-mistral-7b-v1.0 |
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- model: upaya07/Arithmo2-Mistral-7B |
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parameters: |
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density: [0.25, 0.35, 0.45, 0.35, 0.25] |
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weight: [0.1, 0.25, 0.5, 0.25, 0.1] |
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parameters: |
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int8_mask: true |
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``` |
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### Evaluation |
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| T | Model | Average | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K | |
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|----|---------------------------------------------|---------|------|-----------|-------|------------|------------|-------| |
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| ๐ | sethuiyer/CodeCalc-Mistral-7B | 66.33 | 61.95| 83.64 | 62.78 | 47.79 | 78.3 | 63.53 | |
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| ๐ | uukuguy/speechless-code-mistral-7b-v1.0 | 63.6 | 61.18| 83.77 | 63.4 | 47.9 | 78.37 | 47.01 | |
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The merge appears to be successful, especially considering the substantial improvement in the GSM8K benchmark while maintaining comparable performance on other metrics. |
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