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Mistral 7B Instruct V0.3 GPTQ 4bit by neuralmagic

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Mistral 7B Instruct V0.3 GPTQ 4bit is an open-source language model by neuralmagic. Features: 7b LLM, VRAM: 4.2GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.16.

  4-bit   4bit   Autotrain compatible Base model:mistralai/mistral-7... Base model:quantized:mistralai...   Conversational   Endpoints compatible   Gptq   Instruct   Mistral   Model-index   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/neuralmagic/Mistral-7B-Instruct-v0.3-GPTQ-4bit 

Mistral 7B Instruct V0.3 GPTQ 4bit Benchmarks

LLME Score: 0.15893
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 V0.3 GPTQ 4bit (neuralmagic/Mistral-7B-Instruct-v0.3-GPTQ-4bit)
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Mistral 7B Instruct V0.3 GPTQ 4bit Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model is optimized for efficient inference using the Marlin mixed-precision kernels in vLLM.
LLM NameMistral 7B Instruct V0.3 GPTQ 4bit
Repository 🤗https://huggingface.co/neuralmagic/Mistral-7B-Instruct-v0.3-GPTQ-4bit 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.3   mistralai/Mistral-7B-Instruct-v0.3
Model Size7b
Required VRAM4.2 GB
Updated2025-04-08
Maintainerneuralmagic
Model Typemistral
Instruction-BasedYes
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typefloat16

Best Alternatives to Mistral 7B Instruct V0.3 GPTQ 4bit

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Mistral 7B Instruct V0.3 GPTQ32K / 4.2 GB655511
...ral 7B Instruct V0.3 GPTQ 4bit32K / 4.2 GB683923
Mistral 7B Instruct V0.2 GPTQ32K / 4.2 GB4736054
Mistral 7B Instruct V0.3 GPTQ32K / 4.2 GB60
...ral 7B Instruct V0.3 GPTQ 4bit32K / 4.2 GB60
...tral 7B Instruct 32K GPTQ INT832K / 7.7 GB31
...stral 7B Instruct V0.3 GPTQ 8B32K / 7.7 GB61
...stral 7B Instruct V0.3 GPTQ 4B32K / 4.2 GB50
Mistral 7B Instruct V0.2 GPTQ32K / 4.2 GB6281
...nstruct V0.2 Neural Story GPTQ32K / 4.6 GB81
Note: green Score (e.g. "73.2") means that the model is better than neuralmagic/Mistral-7B-Instruct-v0.3-GPTQ-4bit.

Rank the Mistral 7B Instruct V0.3 GPTQ 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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