Mistral 7B Instruct 4bit by Animesh001

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  4-bit   4bit   Autotrain compatible Base model:animesh001/un-mis-7... Base model:quantized:animesh00...   Bitsandbytes   Conversational   En   Endpoints compatible   Instruct   Lora   Mistral   Quantized   Region:us   Safetensors   Trl   Unsloth

Mistral 7B Instruct 4bit 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 4bit (Animesh001/mistral-7b-instruct-4bit)

Mistral 7B Instruct 4bit Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, mistral, trl
Training Details 
Methodology:
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameMistral 7B Instruct 4bit
Repository ๐Ÿค—https://huggingface.co/Animesh001/mistral-7b-instruct-4bit 
Base Model(s)  Animesh001/un-mis-7b-instruct   Animesh001/un-mis-7b-instruct
Model Size7b
Required VRAM0.2 GB
Updated2025-02-05
MaintainerAnimesh001
Instruction-BasedYes
Model Files  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 Modulesv_proj|o_proj|gate_proj|down_proj|up_proj|k_proj|q_proj
LoRA Alpha16
LoRA Dropout0
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than Animesh001/mistral-7b-instruct-4bit.

Rank the Mistral 7B Instruct 4bit 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