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

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Mistralai Mistral 7B Instruct V0.2 Bnb 4bit Smashed is an open-source language model by PrunaAI. Features: 7b LLM, VRAM: 4.5GB, Context: 32K, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

  4-bit   4bit Base model:mistralai/mistral-7... Base model:quantized:mistralai...   Bitsandbytes   Instruct   Mistral   Pruna-ai   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/PrunaAI/mistralai-Mistral-7B-Instruct-v0.2-bnb-4bit-smashed 

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

LLME Score: 0.12359
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 (PrunaAI/mistralai-Mistral-7B-Instruct-v0.2-bnb-4bit-smashed)
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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 🤗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
Updated2026-02-15
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

Best Alternatives to Mistralai Mistral 7B Instruct V0.2 Bnb 4bit Smashed

Best Alternatives
Context / RAM
Downloads
Likes
...tral 7B Instruct V0.3 Bnb 4bit32K / 4.1 GB13727038
Mistral 7B Instruct V0.2 Fp1632K / 14.4 GB260
Mistral 7B Instruct V0.2 4bit32K / 4.3 GB1591
Mistral 7B Instruct V0.2 8bit32K / 7.6 GB31
...tral 7B Instruct V0.2 Bnb 4bit32K / 4.1 GB1421136
Mixtral V0.3 Full 16bit32K / 14.5 GB60
... 7B Instruct V0.3ContinuedFine32K / 14.5 GB130
NaturalLM 7B Instruct32K / 14.5 GB1210
...eMistral 7B Instruct Ead 16bit32K / 14.5 GB380
Mistral 7B Instruct V0.3 4bit32K / 4.1 GB536210
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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