Text Generation
Transformers
Safetensors
English
mistral
code
text-generation-inference
conversational
Inference Endpoints
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  ---
 
 
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  license: mit
 
 
 
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  datasets:
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  - glaiveai/glaive-code-assistant-v2
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  - TokenBender/code_instructions_122k_alpaca_style
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- language:
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- - en
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  metrics:
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  - code_eval
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  pipeline_tag: text-generation
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- tags:
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- - code
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- - text-generation-inference
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  <p align="center">
@@ -92,4 +187,17 @@ def generate_one_completion(prompt: str):
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  CodeNinja is licensed under the MIT License, with model usage subject to the Model License.
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  ## Contact
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- For queries or support, please open an issue in the repository.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language:
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+ - en
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  license: mit
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+ tags:
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+ - code
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+ - text-generation-inference
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  datasets:
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  - glaiveai/glaive-code-assistant-v2
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  - TokenBender/code_instructions_122k_alpaca_style
 
 
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  metrics:
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  - code_eval
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  pipeline_tag: text-generation
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+ model-index:
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+ - name: CodeNinja-1.0-OpenChat-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: IFEval (0-Shot)
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+ type: HuggingFaceH4/ifeval
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: inst_level_strict_acc and prompt_level_strict_acc
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+ value: 54.47
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+ name: strict accuracy
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=beowolx/CodeNinja-1.0-OpenChat-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: BBH (3-Shot)
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+ type: BBH
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+ args:
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+ num_few_shot: 3
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+ metrics:
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+ - type: acc_norm
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+ value: 21.71
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+ name: normalized accuracy
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=beowolx/CodeNinja-1.0-OpenChat-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: MATH Lvl 5 (4-Shot)
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+ type: hendrycks/competition_math
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+ args:
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+ num_few_shot: 4
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+ metrics:
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+ - type: exact_match
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+ value: 5.21
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+ name: exact match
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=beowolx/CodeNinja-1.0-OpenChat-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: GPQA (0-shot)
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+ type: Idavidrein/gpqa
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: acc_norm
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+ value: 5.93
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+ name: acc_norm
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=beowolx/CodeNinja-1.0-OpenChat-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: MuSR (0-shot)
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+ type: TAUR-Lab/MuSR
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: acc_norm
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+ value: 11.54
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+ name: acc_norm
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=beowolx/CodeNinja-1.0-OpenChat-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-PRO (5-shot)
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+ type: TIGER-Lab/MMLU-Pro
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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: 22.39
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=beowolx/CodeNinja-1.0-OpenChat-7B
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+ name: Open LLM Leaderboard
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  ---
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  <p align="center">
 
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  CodeNinja is licensed under the MIT License, with model usage subject to the Model License.
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  ## Contact
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+ For queries or support, please open an issue in the repository.
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+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_beowolx__CodeNinja-1.0-OpenChat-7B)
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+
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+ | Metric |Value|
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+ |-------------------|----:|
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+ |Avg. |20.21|
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+ |IFEval (0-Shot) |54.47|
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+ |BBH (3-Shot) |21.71|
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+ |MATH Lvl 5 (4-Shot)| 5.21|
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+ |GPQA (0-shot) | 5.93|
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+ |MuSR (0-shot) |11.54|
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+ |MMLU-PRO (5-shot) |22.39|
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+