Mistral 7B Instruct V0.2 Python 18K by theprint

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Mistral 7B Instruct V0.2 Python 18K Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Instruct V0.2 Python 18K (theprint/Mistral-7b-Instruct-v0.2-python-18k)

Mistral 7B Instruct V0.2 Python 18K Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameMistral 7B Instruct V0.2 Python 18K
Repository ๐Ÿค—https://huggingface.co/theprint/Mistral-7b-Instruct-v0.2-python-18k 
Base Model(s)  unsloth/mistral-7b-instruct-v0.2-bnb-4bit   unsloth/mistral-7b-instruct-v0.2-bnb-4bit
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
Maintainertheprint
Instruction-BasedYes
Model Files  0.2 GB   0.2 GB   7.7 GB   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
GGUF QuantizationYes
Quantization Type4bit|gguf
Model ArchitectureAutoModel
Licenseapache-2.0
Model Max Length131072
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesk_proj|gate_proj|o_proj|up_proj|q_proj|down_proj|v_proj
LoRA Alpha32
LoRA Dropout0
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than theprint/Mistral-7b-Instruct-v0.2-python-18k.

Rank the Mistral 7B Instruct V0.2 Python 18K 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227