Mistral by Zeinab321

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  4-bit   4bit   Autotrain compatible Base model:quantized:unsloth/m... Base model:unsloth/mistral-nem...   Bitsandbytes   En   Endpoints compatible   Lora   Mistral   Pytorch   Quantized   Region:us   Safetensors   Unsloth
Model Card on HF ๐Ÿค—: https://huggingface.co/Zeinab321/Mistral 

Mistral Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral (Zeinab321/Mistral)
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Mistral Parameters and Internals

LLM NameMistral
Repository ๐Ÿค—https://huggingface.co/Zeinab321/Mistral 
Base Model(s)  ...istral Nemo Base 2407 Bnb 4bit   unsloth/Mistral-Nemo-Base-2407-bnb-4bit
Required VRAM0.2 GB
Updated2025-07-10
MaintainerZeinab321
Model Files  0.2 GB   0.2 GB   4.1 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length32768
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesgate_proj|down_proj|o_proj|up_proj|k_proj|v_proj|q_proj
LoRA Alpha16
LoRA Dropout0
R Param16

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Rank the Mistral Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

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 v20241124