What are the hardware requirements for QwQen 3B LCoT?

QwQen 3B LCoT requires approximately 6.8 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed QwQen 3B LCoT and how large is it?

QwQen 3B LCoT is developed by bunnycore, a model with 3b 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 QwQen 3B LCoT?

QwQen 3B LCoT is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

QwQen 3B LCoT by bunnycore — VRAM 6.8GB, 32K context

Name: QwQen 3B LCoT
Author: bunnycore

QwQen 3B LCoT is an open-source language model by bunnycore. Features: 3b LLM, VRAM: 6.8GB, Context: 32K, Merged, LLM Explorer Score: 0.24.

Merged Model Arxiv:2203.05482 Base model:bunnycore/qwen2.5-3... Base model:prithivmlmods/qwq-l... Conversational Endpoints compatible Model-index Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/bunnycore/QwQen-3B-LCoT

QwQen 3B LCoT Parameters and Internals

LLM Name	QwQen 3B LCoT
Repository 🤗	https://huggingface.co/bunnycore/QwQen-3B-LCoT
Base Model(s)	QwQ LCoT 3B Instruct bunnycore/Qwen2.5-3B-RP-Mix prithivMLmods/QwQ-LCoT-3B-Instruct bunnycore/Qwen2.5-3B-RP-Mix
Merged Model	Yes
Model Size	3b
Required VRAM	6.8 GB
Updated	2026-07-22
Maintainer	bunnycore
Model Type	qwen2
Model Files	5.0 GB: 1-of-2 1.8 GB: 2-of-2
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.46.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the QwQen 3B LCoT 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

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Note: green Score (e.g. "73.2") means that the model is better than bunnycore/QwQen-3B-LCoT.