Mistral 1B GPTQ by Muhammadreza

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Mistral 1B GPTQ is an open-source language model by Muhammadreza. Features: 1b LLM, VRAM: 1GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.11.

  4-bit   Endpoints compatible   Gptq   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Mistral 1B GPTQ Benchmarks

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

Mistral 1B GPTQ Parameters and Internals

LLM NameMistral 1B GPTQ
Repository 🤗https://huggingface.co/Muhammadreza/Mistral-1B-GPTQ 
Model Size1b
Required VRAM1 GB
Updated2026-05-22
MaintainerMuhammadreza
Model Typemistral
Model Files  0.5 GB: 1-of-2   0.5 GB: 2-of-2
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

Best Alternatives to Mistral 1B GPTQ

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Nucleus 1B GPTQ32K / 1 GB101
Ganga 1B128K / 4 GB11021
Biinduct 1B Baseline32K / 2.2 GB120
MD Judge V0.132K / 14.4 GB37718
Nucleus 1B Alpha 132K / 2.3 GB1712
Mallam 1.1B 20K Instructions32K / 2.2 GB71
Experimental Mistral 1B V0032K / 3.5 GB173
Lmlab Mistral 1B Untrained32K / 4.5 GB357
Empty Phi 1B3K / 5.8 GB70
Phi Filtered 500M C12K / 0.7 GB50
Note: green Score (e.g. "73.2") means that the model is better than Muhammadreza/Mistral-1B-GPTQ.

Rank the Mistral 1B GPTQ 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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Release v20260328a