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--- |
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language: |
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- en |
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library_name: transformers |
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pipeline_tag: text-generation |
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datasets: |
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- jondurbin/airoboros-2.2 |
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- Open-Orca/OpenOrca |
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- garage-bAInd/Open-Platypus |
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- WizardLM/WizardLM_evol_instruct_V2_196k |
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- TokenBender/python_eval_instruct_51k |
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tags: |
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- code |
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license: apache-2.0 |
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model-index: |
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- name: SpeechlessCoder |
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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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type: openai_humaneval |
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name: HumanEval |
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metrics: |
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- name: pass@1 |
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type: pass@1 |
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value: |
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verified: false |
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--- |
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<p><h1> speechless-mistral-7b-v0.2-mixed-1 </h1></p> |
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Code: https://github.com/uukuguy/speechless |
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The base model of mistralai/Mistral-7B-v0.2, |
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Complete the continued pre-training using the following dataset based on the mistralai/Mistral-7B-v0.2 . |
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Total 201,981 samples. |
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- jondurbin/airoboros-2.2: Filter categories related to coding, reasoning and planning. 23,462 samples. |
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- Open-Orca/OpenOrca: Filter the 'cot' category in 1M GPT4 dataset. 74,440 samples. |
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- garage-bAInd/Open-Platypus: 100%, 24,926 samples. |
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- WizardLM/WizardLM_evol_instruct_V2_196k: Coding coversation part. 30,185 samples |
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- TokenBender/python_eval_instruct_51k: “python” in output .40,309 samples |
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- Spider: 8,659 samples |
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## How to Prompt the Model |
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This model accepts the Alpaca instruction format. |
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For example: |
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``` |
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You are an intelligent programming assistant. |
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### Instruction: |
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Implement a linked list in C++ |
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### Response: |
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``` |
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## HumanEval |
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| Metric | Value | |
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| --- | --- | |
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| humaneval-python | | |
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Big Code Models Leaderboard](https://huggingface.co/spaces/bigcode/bigcode-models-leaderboard) |
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CodeLlama-34B-Python: 53.29 |
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CodeLlama-34B-Instruct: 50.79 |
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CodeLlama-13B-Instruct: 50.6 |
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CodeLlama-34B: 45.11 |
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CodeLlama-13B-Python: 42.89 |
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CodeLlama-13B: 35.07 |
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[Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
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| Metric | Value | |
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| --- | --- | |
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| ARC | | |
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| HellaSwag | | |
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| MMLU | | |
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| TruthfulQA | | |
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| Winoground | | |
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| GSM8K | | |
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| Average | | |
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