What are the hardware requirements for Qwen3 4B Open R1 Distill 1?

Qwen3 4B Open R1 Distill 1 requires approximately 8.1 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 4B Open R1 Distill 1 and how large is it?

Qwen3 4B Open R1 Distill 1 is developed by angelchen, a model with 4b 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 Qwen3 4B Open R1 Distill 1?

Qwen3 4B Open R1 Distill 1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 4B Open R1 Distill 1 by angelchen — VRAM 8.1GB, 40K context

Name: Qwen3 4B Open R1 Distill 1
Author: angelchen

Qwen3 4B Open R1 Distill 1 is an open-source language model by angelchen. Features: 4b LLM, VRAM: 8.1GB, Context: 40K, LLM Explorer Score: 0.18.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b Conversational Dataset:dataset/processed data... Endpoints compatible Generated from trainer Open-r1 Qwen3 Region:us Safetensors Sft Sharded Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/angelchen/Qwen3-4B-Open-R1-Distill_1

Qwen3 4B Open R1 Distill 1 Parameters and Internals

LLM Name	Qwen3 4B Open R1 Distill 1
Repository 🤗	https://huggingface.co/angelchen/Qwen3-4B-Open-R1-Distill_1
Model Name	Qwen3-4B-Open-R1-Distill_1
Base Model(s)	Qwen/Qwen3-4B Qwen/Qwen3-4B
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-08-28
Maintainer	angelchen
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 3.1 GB: 2-of-2 0.0 GB
Model Architecture	Qwen3ForCausalLM
Context Length	40960
Model Max Length	40960
Transformers Version	4.52.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3 4B Open R1 Distill 1 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 Qwen3 4B Open R1 Distill 1

Best Alternatives	Context / RAM	Downloads	Likes
GRPO 4 70	256K / 8.1 GB	10	0
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
Lightning 4B	256K / 8.1 GB	13	6
Fable Traces	256K / 8.1 GB	333	210
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen3 4B Sft Prm	256K / 17.6 GB	602	0
...fetensors.chatgpt GPT Codex V2	256K / 8.1 GB	666	2
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78

Note: green Score (e.g. "73.2") means that the model is better than angelchen/Qwen3-4B-Open-R1-Distill_1.