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microcoderfim-1B - AWQ

Original model description:

library_name: transformers license: mit language: - en metrics: - bleu - code_eval - rouge - chrf model_name: MicroCoderFIM-1B base_model: bigcode/starcoderbase-1b model-index: - name: MicroCoderFIM-1B results: - task: type: text-generation dataset: type: openai_humaneval name: HumanEval metrics: - name: pass@1 type: pass@1 value: 65.46 verified: false - name: pass@10 type: pass@10 value: 90.36 verified: false - name: pass@100 type: pass@100 value: 94.43 verified: false - task: type: text-generation dataset: type: xvadov01/cpp_emb_nl2pl name: xvadov01/cpp_emb_nl2pl metrics: - name: BLEU type: bleu value: 31.74 verified: false - name: codeBLEU type: codeBLEU value: 40.53 verified: false - name: chrf++ type: chrf value: 51.54 verified: false - name: rouge-l type: rouge value: 43.31 verified: false

Model Card for Model ID

This is a finetuned version of StarCoderBase 1B using the Fill-in-the-Middle objective on dataset focused on embedded systems programming.

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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

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  • Model type: Transformer decoder architecture with Multi-Query attention
  • Language(s) (NLP): English
  • License: MIT
  • Finetuned from model [optional]: StarCoderBase 1B

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

  • Hardware Type: NVIDIA GeForce RTX 3090
  • Hours used: 5h 25m
  • Carbon Emitted: 0.83

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