--- language: - en library_name: transformers pipeline_tag: text-generation datasets: - jondurbin/airoboros-2.2 - Open-Orca/OpenOrca - garage-bAInd/Open-Platypus - WizardLM/WizardLM_evol_instruct_V2_196k - TokenBender/python_eval_instruct_51k tags: - code license: apache-2.0 model-index: - name: SpeechlessCoder results: - task: type: text-generation dataset: type: openai_humaneval name: HumanEval metrics: - name: pass@1 type: pass@1 value: verified: false ---

speechless-mistral-7b-v0.2-mixed-1

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