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Mistral 7B Instruct 4bit by Animesh001

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Mistral 7B Instruct 4bit is an open-source language model by Animesh001. Features: 7b LLM, VRAM: 0.2GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

  4-bit   4bit Base model:animesh001/un-mis-7... Base model:quantized:animesh00...   Bitsandbytes   Conversational   En   Endpoints compatible   Instruct   Lora   Mistral   Quantized   Region:us   Safetensors   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Animesh001/mistral-7b-instruct-4bit 

Mistral 7B Instruct 4bit Benchmarks

LLME Score: 0.12257
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)
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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 🤗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
Updated2026-04-10
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

Best Alternatives to Mistral 7B Instruct 4bit

Best Alternatives
Context / RAM
Downloads
Likes
Mistral 7B Instruct V0.332K / 14.5 GB13713
Mistral 7B Instruct V0.332K / 14.5 GB395
...ralai Mistral 7B Instruct V0.332K / 14.5 GB73
Mistral 7B Instruct V0.332K / 14.5 GB50
Full V4 Astromistral Final32K / 4.5 GB71
ShoriRP V0.75d0K / 0.2 GB5233
...wen Math 7b 24 1 100 1 Nonmath0K / 15.2 GB210
ReWiz 7B0K / 14.5 GB1740
Acemath Convfinqa0K / 15.2 GB60
Monarch 10K / 14.5 GB72
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

🆘 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! 🌟

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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