Nucleus 1B GPTQ by Muhammadreza

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

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

Nucleus 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").

Nucleus 1B GPTQ Parameters and Internals

LLM NameNucleus 1B GPTQ
Repository 🤗https://huggingface.co/Muhammadreza/Nucleus-1B-GPTQ 
Model Size1b
Required VRAM1 GB
Updated2026-05-26
MaintainerMuhammadreza
Model Typemistral
Model Files  1.0 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

Best Alternatives to Nucleus 1B GPTQ

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Context / RAM
Downloads
Likes
Mistral 1B GPTQ32K / 1 GB110
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/Nucleus-1B-GPTQ.

Rank the Nucleus 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