What are the hardware requirements for QwQ LCoT 7B Instruct GGUF?

QwQ LCoT 7B Instruct GGUF requires approximately 4.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed QwQ LCoT 7B Instruct GGUF and how large is it?

QwQ LCoT 7B Instruct GGUF is developed by prithivMLmods, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate QwQ LCoT 7B Instruct GGUF?

QwQ LCoT 7B Instruct GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

QwQ LCoT 7B Instruct GGUF by prithivMLmods — VRAM 4.7GB

Name: QwQ LCoT 7B Instruct GGUF
Author: prithivMLmods

QwQ LCoT 7B Instruct GGUF is an open-source language model by prithivMLmods. Features: 7b LLM, VRAM: 4.7GB, License: creativeml-openrail-m, Quantized, Instruction-Based, LLM Explorer Score: 0.16.

Base model:prithivmlmods/qwq-l... Base model:quantized:prithivml... Conversational Cot Dataset:amphora/qwq-longcot-13... En Endpoints compatible Gguf Instruct Llama-cpp Long-cot Math Quantized Qwen2 Qwen2.5 Qwq Region:us Sft

Model Card on HF 🤗: https://huggingface.co/prithivMLmods/QwQ-LCoT-7B-Instruct-GGUF

QwQ LCoT 7B Instruct GGUF Parameters and Internals

LLM Name	QwQ LCoT 7B Instruct GGUF
Repository 🤗	https://huggingface.co/prithivMLmods/QwQ-LCoT-7B-Instruct-GGUF
Base Model(s)	QwQ LCoT 7B Instruct prithivMLmods/QwQ-LCoT-7B-Instruct
Model Size	7b
Required VRAM	4.7 GB
Updated	2026-08-08
Maintainer	prithivMLmods
Model Type	qwen2
Instruction-Based	Yes
Model Files	15.2 GB 4.7 GB 5.4 GB 8.1 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	creativeml-openrail-m

Rank the QwQ LCoT 7B Instruct GGUF capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to QwQ LCoT 7B Instruct GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Pixel	8K / 4.4 GB	17	0
...ral 7B Instruct V0.2 Llamafile	0K / 14.5 GB	8850	25
Mistral 7B Instruct V0.3 GGUF	0K / 1.6 GB	91691	147
Qwen2 7B Instruct GGUF	0K / 1.9 GB	56414	10
...hemeng Qwen Math 7b 24 1 100 1	0K / 15.2 GB	25	0
Mistral 7B Instruct V0.2 GGUF	0K / 3.1 GB	70243	511
Qwen2 7B Instruct V0.6 GGUF	0K / 4.5 GB	13522	0
Qwen2 7B Instruct V0.1 GGUF	0K / 4.5 GB	9714	0
Qwen2 7B Instruct V0.7 GGUF	0K / 4.5 GB	9530	0
Qwen2 7B Instruct V0.3 GGUF	0K / 4.5 GB	8911	1

Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/QwQ-LCoT-7B-Instruct-GGUF.