Text Generation
Transformers
PyTorch
English
mistral
code
Eval Results
Inference Endpoints
text-generation-inference
uukuguy commited on
Commit
8371b49
1 Parent(s): 9f7b733
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README.md CHANGED
@@ -1,3 +1,80 @@
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+ - ise-uiuc/Magicoder-OSS-Instruct-75K
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+ - meta-math/MetaMathQA
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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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+
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+ <p><h1> speechless-code-mistral-7b-v2.0 </h1></p>
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+
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+ Code: https://github.com/uukuguy/speechless
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+
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+ Use the following dataset to fine-tune mistralai/Mistral-7B-v0.1 in order to improve the model's reasoning and planning abilities.
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+
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+ Total 343,370 samples 603 MB
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+
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+ - jondurbin/airoboros-2.2: Filter categories related to coding, reasoning and planning. 21,923 samples.
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+ - Open-Orca/OpenOrca: Filter the 'cot' category in 1M GPT4 dataset. 62,973 samples.
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+ - garage-bAInd/Open-Platypus: 100%, 22,760 samples.
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+ - WizardLM/WizardLM_evol_instruct_V2_196k: Coding coversation part. 30,077 samples
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+ - TokenBender/python_eval_instruct_51k: “python” in output .39,596 samples
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+ - OpenHermes code block in output 18,969 samples
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+ - CollectiveCognition-2023-09-27 200 samples
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+ - ise-uiuc/Magicoder-OSS-Instruct-75K 75,197 samples
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+ - meta-math/MetaMathQA 20% 395K 71,706 samples
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+
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+ ## HumanEval
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+
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+ | Metric | Value |
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+ | --- | --- |
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+ | humaneval-python | |
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+
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+ [Big Code Models Leaderboard](https://huggingface.co/spaces/bigcode/bigcode-models-leaderboard)
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+
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+ CodeLlama-34B-Python: 53.29
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+
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+ CodeLlama-34B-Instruct: 50.79
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+
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+ CodeLlama-13B-Instruct: 50.6
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+
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+ CodeLlama-34B: 45.11
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+
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+ CodeLlama-13B-Python: 42.89
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+
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+ CodeLlama-13B: 35.07
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+
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+ ## lm-evaluation-harness
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+
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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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+ | Average | |
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+
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+ "<unk>": 0
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+ }
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+ "_name_or_path": "/opt/local/llm_models/huggingface.co/uukuguy/speechless-mistral-six-in-one-7b",
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+ "architectures": [
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+ "MistralForCausalLM"
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+ "max_position_embeddings": 32768,
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+ "vocab_size": 32000
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