What are the hardware requirements for DeepSeek R1 0528 Qwen3 8B Int4 AutoRound?

DeepSeek R1 0528 Qwen3 8B Int4 AutoRound requires approximately 6.1 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 DeepSeek R1 0528 Qwen3 8B Int4 AutoRound and how large is it?

DeepSeek R1 0528 Qwen3 8B Int4 AutoRound is developed by Intel, a model with 8b 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 DeepSeek R1 0528 Qwen3 8B Int4 AutoRound?

DeepSeek R1 0528 Qwen3 8B Int4 AutoRound is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DeepSeek R1 0528 Qwen3 8B Int4 AutoRound by Intel — VRAM 6.1GB, 128K context

Name: DeepSeek R1 0528 Qwen3 8B Int4 AutoRound
Author: Intel

DeepSeek R1 0528 Qwen3 8B Int4 AutoRound is an open-source language model by Intel. Features: 8b LLM, VRAM: 6.1GB, Context: 128K, License: mit, LLM Explorer Score: 0.18.

Arxiv:2512.04746 4-bit Auto-round Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-... Conversational Dataset:neelnanda/pile-10k Endpoints compatible Qwen3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Intel/DeepSeek-R1-0528-Qwen3-8B-int4-AutoRound

DeepSeek R1 0528 Qwen3 8B Int4 AutoRound Parameters and Internals

LLM Name	DeepSeek R1 0528 Qwen3 8B Int4 AutoRound
Repository 🤗	https://huggingface.co/Intel/DeepSeek-R1-0528-Qwen3-8B-int4-AutoRound
Base Model(s)	DeepSeek R1 0528 Qwen3 8B deepseek-ai/DeepSeek-R1-0528-Qwen3-8B
Model Size	8b
Required VRAM	6.1 GB
Updated	2026-07-22
Maintainer	Intel
Model Type	qwen3
Model Files	4.9 GB: 1-of-2 1.2 GB: 2-of-2
Model Architecture	Qwen3ForCausalLM
License	mit
Context Length	131072
Model Max Length	131072
Transformers Version	4.52.3
Tokenizer Class	LlamaTokenizerFast
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	151936
Torch Data Type	float16

Rank the DeepSeek R1 0528 Qwen3 8B Int4 AutoRound 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 DeepSeek R1 0528 Qwen3 8B Int4 AutoRound

Best Alternatives	Context / RAM	Downloads	Likes
PaCoRe 8B	320K / 1.2 GB	54	48
RLVR 8B 0926	320K / 1.2 GB	63	8
...n3 8B 320K Context 10X Massive	320K / 16.4 GB	20	0
...r Of Horror Jan V1 256K Ctx 8B	256K / 16.1 GB	33	3
... BIG Jan Horror V1 256K Ctx 8B	256K / 16.1 GB	44	0
Qwen3 8B 256K Context 8X Grand	256K / 16.4 GB	95	0
...wen3 8B 192K Context 6X Larger	192K / 16.4 GB	55	0
DeepSeek R1 0528 Qwen3 8B	128K / 16.4 GB	1762293	1082
...Reason 8B Pretrain Competition	128K / 16.8 GB	244	0
Marco DeepResearch 8B	128K / 16.3 GB	520	27

Note: green Score (e.g. "73.2") means that the model is better than Intel/DeepSeek-R1-0528-Qwen3-8B-int4-AutoRound.