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

RPT DeepSeek R1 0528 Qwen3 8B requires approximately 16.4 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 RPT DeepSeek R1 0528 Qwen3 8B and how large is it?

RPT DeepSeek R1 0528 Qwen3 8B is developed by ykarout, 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 RPT DeepSeek R1 0528 Qwen3 8B?

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

RPT DeepSeek R1 0528 Qwen3 8B by ykarout — VRAM 16.4GB, 128K context

Name: RPT DeepSeek R1 0528 Qwen3 8B
Author: ykarout

RPT DeepSeek R1 0528 Qwen3 8B is an open-source language model by ykarout. Features: 8b LLM, VRAM: 16.4GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.19.

Arxiv:2402.03300 Arxiv:2506.08007 Ar Base model:deepseek-ai/deepsee... Base model:finetune:deepseek-a... Conversational En Endpoints compatible Es Fr Generated from trainer Grpo Qwen3 Region:us Rpt Safetensors Sharded Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/ykarout/RPT-DeepSeek-R1-0528-Qwen3-8B

RPT DeepSeek R1 0528 Qwen3 8B Parameters and Internals

LLM Name	RPT DeepSeek R1 0528 Qwen3 8B
Repository 🤗	https://huggingface.co/ykarout/RPT-DeepSeek-R1-0528-Qwen3-8B
Model Name	DeepSeek-R1-0528-Qwen3-8B-GRPO-trlv5
Base Model(s)	DeepSeek R1 0528 Qwen3 8B deepseek-ai/DeepSeek-R1-0528-Qwen3-8B
Model Size	8b
Required VRAM	16.4 GB
Updated	2026-07-22
Maintainer	ykarout
Model Type	qwen3
Model Files	4.9 GB: 1-of-4 4.9 GB: 2-of-4 5.0 GB: 3-of-4 1.6 GB: 4-of-4
Supported Languages	en es fr ar
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.52.4
Tokenizer Class	LlamaTokenizerFast
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	151936
Torch Data Type	bfloat16

Rank the RPT DeepSeek R1 0528 Qwen3 8B 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 RPT DeepSeek R1 0528 Qwen3 8B

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 ykarout/RPT-DeepSeek-R1-0528-Qwen3-8B.