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QwQ LCoT 3B Instruct GGUF by prithivMLmods

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QwQ LCoT 3B Instruct GGUF is an open-source language model by prithivMLmods. Features: 3b LLM, VRAM: 1.9GB, License: creativeml-openrail-m, Quantized, Instruction-Based, LLM Explorer Score: 0.17.

  3b   8-bit Base model:prithivmlmods/qwq-l... Base model:quantized:prithivml...   Conversational Dataset:amphora/qwq-longcot-13...   En   Endpoints compatible   F16   Fp16   Gguf   Instruct   Long-cot   Quantized   Qwen2   Qwq   Region:us
Model Card on HF 🤗: https://huggingface.co/prithivMLmods/QwQ-LCoT-3B-Instruct-GGUF 

QwQ LCoT 3B Instruct GGUF Benchmarks

LLME Score: 0.16814
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
QwQ LCoT 3B Instruct GGUF (prithivMLmods/QwQ-LCoT-3B-Instruct-GGUF)
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QwQ LCoT 3B Instruct GGUF Parameters and Internals

LLM NameQwQ LCoT 3B Instruct GGUF
Repository 🤗https://huggingface.co/prithivMLmods/QwQ-LCoT-3B-Instruct-GGUF 
Base Model(s)  QwQ LCoT 3B Instruct   prithivMLmods/QwQ-LCoT-3B-Instruct
Model Size3b
Required VRAM1.9 GB
Updated2026-04-23
MaintainerprithivMLmods
Model Typeqwen2
Instruction-BasedYes
Model Files  6.2 GB   1.9 GB   2.2 GB   3.3 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typefp16|gguf
Model ArchitectureAutoModel
Licensecreativeml-openrail-m

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Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/QwQ-LCoT-3B-Instruct-GGUF.

Rank the QwQ LCoT 3B Instruct GGUF 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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