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BASH Coder Mistral 7B Mistral 7B Instruct V0.2 Slerp GGUF by MaziyarPanahi

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Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/BASH-Coder-Mistral-7B-Mistral-7B-Instruct-v0.2-slerp-GGUF 

BASH Coder Mistral 7B Mistral 7B Instruct V0.2 Slerp GGUF Benchmarks

LLME Score: 0.17204
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 Mistral 7B Instruct V0.2 Slerp GGUF (MaziyarPanahi/BASH-Coder-Mistral-7B-Mistral-7B-Instruct-v0.2-slerp-GGUF)

BASH Coder Mistral 7B Mistral 7B Instruct V0.2 Slerp GGUF Parameters and Internals

Model Type 
text-generation, GGUF
LLM NameBASH Coder Mistral 7B Mistral 7B Instruct V0.2 Slerp GGUF
Repository 🤗https://huggingface.co/MaziyarPanahi/BASH-Coder-Mistral-7B-Mistral-7B-Instruct-v0.2-slerp-GGUF 
Model NameBASH-Coder-Mistral-7B-Mistral-7B-Instruct-v0.2-slerp-GGUF
Model CreatorMaziyarPanahi
Base Model(s)  MaziyarPanahi/BASH-Coder-Mistral-7B-Mistral-7B-Instruct-v0.2-slerp   MaziyarPanahi/BASH-Coder-Mistral-7B-Mistral-7B-Instruct-v0.2-slerp
Model Size7b
Required VRAM2.7 GB
Updated2024-12-22
MaintainerMaziyarPanahi
Model Typemistral
Instruction-BasedYes
Model Files  2.7 GB   3.8 GB   3.5 GB   3.2 GB   4.4 GB   4.1 GB   5.1 GB   5.0 GB   5.9 GB   7.7 GB
GGUF QuantizationYes
Quantization Typegguf
Generates CodeYes
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/BASH-Coder-Mistral-7B-Mistral-7B-Instruct-v0.2-slerp-GGUF.

Rank the BASH Coder Mistral 7B Mistral 7B Instruct V0.2 Slerp GGUF Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241217
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