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  ---
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  license: apache-2.0
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  library_name: pytorch
 
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  tags:
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  - code
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- - selection-mixing
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- - sft
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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- # selection-coder
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- ~210M decoder, only SelectionMixing (no attention), Muon, seq=1024. SFT on nvidia/OpenCodeInstruct.
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- Prompt:
 
 
 
 
 
 
 
 
 
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  ```
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  ### Instruction:
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- {instr}
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  ### Response:
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  ```
 
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  ---
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  license: apache-2.0
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  library_name: pytorch
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+ pipeline_tag: text-generation
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  tags:
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  - code
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+ - code-generation
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+ model-index:
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+ - name: selection-coder-100m
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+ results:
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: HumanEval
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+ type: openai_humaneval
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+ metrics:
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+ - type: pass@1
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+ value: 0.0
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: MBPP
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+ type: mbpp
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+ metrics:
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+ - type: pass@1
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+ value: 1.0
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  ---
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+ # selection-coder-100m
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+ A 211.3M-parameter Python code generation model. Context length 1024.
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+ ## Benchmarks (pass@1, greedy)
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+
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+ | Benchmark | pass@1 | n |
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+ |---|---|---|
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+ | HumanEval | 0.0% | 164 |
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+ | MBPP | 1.0% | 200 |
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+
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+ ## Usage
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+
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+ Prompt format:
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  ```
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  ### Instruction:
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+ <your task>
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  ### Response:
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  ```