Text Generation
Transformers
Safetensors
llama
Inference Endpoints
text-generation-inference
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  ---
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  license: llama2
 
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  datasets:
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  - ise-uiuc/Magicoder-OSS-Instruct-75K
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  - ise-uiuc/Magicoder-Evol-Instruct-110K
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- library_name: transformers
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  pipeline_tag: text-generation
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # 🎩 Magicoder: Source Code Is All You Need
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@@ -115,3 +218,17 @@ Refer to our GitHub repo: [ise-uiuc/magicoder](https://github.com/ise-uiuc/magic
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  ## Important Note
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  Magicoder models are trained on the synthetic data generated by OpenAI models. Please pay attention to OpenAI's [terms of use](https://openai.com/policies/terms-of-use) when using the models and the datasets. Magicoders will not compete with OpenAI's commercial products.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: llama2
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+ library_name: transformers
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  datasets:
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  - ise-uiuc/Magicoder-OSS-Instruct-75K
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  - ise-uiuc/Magicoder-Evol-Instruct-110K
 
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  pipeline_tag: text-generation
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+ model-index:
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+ - name: Magicoder-S-CL-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: 43.34
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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=ise-uiuc/Magicoder-S-CL-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: 67.01
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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=ise-uiuc/Magicoder-S-CL-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: 36.87
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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=ise-uiuc/Magicoder-S-CL-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: 38.67
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ise-uiuc/Magicoder-S-CL-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: 62.19
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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=ise-uiuc/Magicoder-S-CL-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: 14.33
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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=ise-uiuc/Magicoder-S-CL-7B
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+ name: Open LLM Leaderboard
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  ---
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  # 🎩 Magicoder: Source Code Is All You Need
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  ## Important Note
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  Magicoder models are trained on the synthetic data generated by OpenAI models. Please pay attention to OpenAI's [terms of use](https://openai.com/policies/terms-of-use) when using the models and the datasets. Magicoders will not compete with OpenAI's commercial products.
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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_ise-uiuc__Magicoder-S-CL-7B)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |43.73|
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+ |AI2 Reasoning Challenge (25-Shot)|43.34|
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+ |HellaSwag (10-Shot) |67.01|
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+ |MMLU (5-Shot) |36.87|
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+ |TruthfulQA (0-shot) |38.67|
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+ |Winogrande (5-shot) |62.19|
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+ |GSM8k (5-shot) |14.33|
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+