Mistralai Mistral 7B Instruct V0.2 Bnb 4bit Smashed by PrunaAI

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  4-bit   4bit   Autotrain compatible Base model:mistralai/mistral-7... Base model:quantized:mistralai...   Bitsandbytes   Conversational   Endpoints compatible   Instruct   Mistral   Pruna-ai   Quantized   Region:us   Safetensors

Mistralai Mistral 7B Instruct V0.2 Bnb 4bit Smashed Benchmarks

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

Mistralai Mistral 7B Instruct V0.2 Bnb 4bit Smashed Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Additional Notes 
The model is compressed with llm-int8 and uses safetensors format.
LLM NameMistralai Mistral 7B Instruct V0.2 Bnb 4bit Smashed
Repository ๐Ÿค—https://huggingface.co/PrunaAI/mistralai-Mistral-7B-Instruct-v0.2-bnb-4bit-smashed 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.2   mistralai/Mistral-7B-Instruct-v0.2
Model Size7b
Required VRAM4.5 GB
Updated2024-11-21
MaintainerPrunaAI
Model Typemistral
Instruction-BasedYes
Model Files  4.5 GB
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.40.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16
Mistralai Mistral 7B Instruct V0.2 Bnb 4bit Smashed (PrunaAI/mistralai-Mistral-7B-Instruct-v0.2-bnb-4bit-smashed)

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Note: green Score (e.g. "73.2") means that the model is better than PrunaAI/mistralai-Mistral-7B-Instruct-v0.2-bnb-4bit-smashed.

Rank the Mistralai Mistral 7B Instruct V0.2 Bnb 4bit Smashed 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 v20241110