What are the hardware requirements for QwQ LCoT 3B Instruct?

QwQ LCoT 3B Instruct requires approximately 6.2 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 QwQ LCoT 3B Instruct and how large is it?

QwQ LCoT 3B Instruct is developed by prithivMLmods, 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 QwQ LCoT 3B Instruct?

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

QwQ LCoT 3B Instruct by prithivMLmods — VRAM 6.2GB, 32K context

Name: QwQ LCoT 3B Instruct
Author: prithivMLmods

QwQ LCoT 3B Instruct is an open-source language model by prithivMLmods. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, License: creativeml-openrail-m, Quantized, Instruction-Based, LLM Explorer Score: 0.22.

3b 4bit Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-3b-ins... Conversational Dataset:amphora/qwq-longcot-13... En Endpoints compatible Instruct Long-cot Quantized Qwen2 Qwen2.5 Qwq Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/prithivMLmods/QwQ-LCoT-3B-Instruct

QwQ LCoT 3B Instruct Parameters and Internals

LLM Name	QwQ LCoT 3B Instruct
Repository 🤗	https://huggingface.co/prithivMLmods/QwQ-LCoT-3B-Instruct
Base Model(s)	Qwen/Qwen2.5-3B-Instruct Qwen/Qwen2.5-3B-Instruct
Model Size	3b
Required VRAM	6.2 GB
Updated	2026-07-20
Maintainer	prithivMLmods
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 1.2 GB: 2-of-2
Supported Languages	en
Quantization Type	4bit
Model Architecture	Qwen2ForCausalLM
License	creativeml-openrail-m
Context Length	32768
Model Max Length	32768
Transformers Version	4.46.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the QwQ LCoT 3B Instruct 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

Quantized Models of the QwQ LCoT 3B Instruct

Model	Likes	Downloads	VRAM
QwQ LCoT 3B Instruct GGUF	7	36	1 GB

Best Alternatives to QwQ LCoT 3B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
VibeThinker 3B 8bit	128K / 3.3 GB	740	3
Sft Qwen25 3B Run1	32K / 6.2 GB	633	0
Qwen2.5 3B Legal Id Sft	32K / 6.2 GB	300	0
...truct Bnb 4bit Legal Assistant	32K / 6.2 GB	61	0
Qwen Manim Animation 16bit	32K / 6.2 GB	406	0
Qwen2.5 3B Legal Id Sft	32K / 6.2 GB	157	0
Qwen2.5 3B Legal Sft	32K / 6.2 GB	269	0
Akmal Legal Model Sft	32K / 6.2 GB	147	0
Legal Model Sft	32K / 6.2 GB	135	0
...5 3B Instruct Indonesian QLoRA	32K / 6.2 GB	151	0

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