BASH Coder Mistral 7B by rvv-karma

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  Autotrain compatible   Codegen   Dataset:neulab/tldr   En   Endpoints compatible   Finetuned   Mistral   Region:us   Safetensors   Sharded   Tensorflow

BASH Coder Mistral 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

BASH Coder Mistral 7B Parameters and Internals

LLM NameBASH Coder Mistral 7B
Repository ๐Ÿค—https://huggingface.co/rvv-karma/BASH-Coder-Mistral-7B 
Model Size7b
Required VRAM14.4 GB
Updated2024-09-21
Maintainerrvv-karma
Model Typemistral
Model Files  1.9 GB: 1-of-8   1.9 GB: 2-of-8   2.0 GB: 3-of-8   1.9 GB: 4-of-8   2.0 GB: 5-of-8   1.9 GB: 6-of-8   2.0 GB: 7-of-8   0.8 GB: 8-of-8
Supported Languagesen
Generates CodeYes
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16
BASH Coder Mistral 7B (rvv-karma/BASH-Coder-Mistral-7B)

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Note: green Score (e.g. "73.2") means that the model is better than rvv-karma/BASH-Coder-Mistral-7B.

Rank the BASH Coder Mistral 7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803