What are the hardware requirements for QwQ R1 Distill 1.5B CoT?

QwQ R1 Distill 1.5B CoT requires approximately 3.5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed QwQ R1 Distill 1.5B CoT and how large is it?

QwQ R1 Distill 1.5B CoT is developed by prithivMLmods, a model with 1.5b 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 R1 Distill 1.5B CoT?

QwQ R1 Distill 1.5B CoT is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

QwQ R1 Distill 1.5B CoT by prithivMLmods — VRAM 3.5GB, 128K context

Name: QwQ R1 Distill 1.5B CoT
Author: prithivMLmods

QwQ R1 Distill 1.5B CoT is an open-source language model by prithivMLmods. Features: 1.5b LLM, VRAM: 3.5GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.2.

Base model:deepseek-ai/deepsee... Base model:finetune:deepseek-a... Conversational Dataset:ai-mo/numinamath-cot Dataset:amphora/qwq-longcot-13... Dataset:novasky-ai/sky-t1 data... Dataset:prithivmlmods/deepthin... Dataset:prithivmlmods/math-sol... Deepseek Distill En Endpoints compatible Qwen2 Qwen2.5 Qwq R1 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/prithivMLmods/QwQ-R1-Distill-1.5B-CoT

QwQ R1 Distill 1.5B CoT Parameters and Internals

LLM Name	QwQ R1 Distill 1.5B CoT
Repository 🤗	https://huggingface.co/prithivMLmods/QwQ-R1-Distill-1.5B-CoT
Base Model(s)	deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
Model Size	1.5b
Required VRAM	3.5 GB
Updated	2026-07-14
Maintainer	prithivMLmods
Model Type	qwen2
Model Files	3.5 GB
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.47.1
Tokenizer Class	LlamaTokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16

Rank the QwQ R1 Distill 1.5B CoT 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 R1 Distill 1.5B CoT

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 1.5B 1.3M Stretched	1280K / 3.1 GB	11	0
ReaderLM V2	500K / 3.1 GB	35356	804
Reader Lm 1.5B	250K / 3.1 GB	385	608
DeepSeek R1 Distill Qwen 1.5B	128K / 3.5 GB	600051	1545
Ko R1 1.5B Preview	128K / 7.1 GB	8	9
Qwen2.5 1.5B	128K / 3.1 GB	863295	203
VibeThinker 1.5B	128K / 3.5 GB	3417	552
Merge Cord V1	128K / 3.1 GB	155	1
...FT Tulu3 Decontaminated Masked	128K / 3.1 GB	167	0
Qwen2 1.5B	128K / 3.1 GB	195380	102

Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/QwQ-R1-Distill-1.5B-CoT.