What are the hardware requirements for DeepSeek R1 0528 Qwen3 8B Esper3?

DeepSeek R1 0528 Qwen3 8B Esper3 requires approximately 32.7 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 Esper3 and how large is it?

DeepSeek R1 0528 Qwen3 8B Esper3 is developed by ValiantLabs, 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 Esper3?

DeepSeek R1 0528 Qwen3 8B Esper3 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 Esper3 by ValiantLabs — VRAM 32.7GB, 128K context

Name: DeepSeek R1 0528 Qwen3 8B Esper3
Author: ValiantLabs

DeepSeek R1 0528 Qwen3 8B Esper3 is an open-source language model by ValiantLabs. Features: 8b LLM, VRAM: 32.7GB, Context: 128K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.18.

8b Analytical Architect Aws Azure Base model:deepseek-ai/deepsee... Base model:finetune:deepseek-a... Chat Cloud Code Code-instruct Conversational Creative Dataset:sequelbox/raiden-deeps... Dataset:sequelbox/tachibana2-d... Dataset:sequelbox/titanium2.1-... Deepseek Deepseek-r1 Deepseek-r1-0528 Dev-ops Developer En Endpoints compatible Engineer Esper Esper-3 Expert Gcp Instruct Javascript Jenkins Powershell Problem-solving Python Qwen Qwen-3 Qwen-3-8b Qwen3 Rationality Reasoning Region:us Safetensors Scripting Sharded Tensorflow Terraform Valiant Valiant-labs

Model Card on HF 🤗: https://huggingface.co/ValiantLabs/DeepSeek-R1-0528-Qwen3-8B-Esper3

DeepSeek R1 0528 Qwen3 8B Esper3 Parameters and Internals

LLM Name	DeepSeek R1 0528 Qwen3 8B Esper3
Repository 🤗	https://huggingface.co/ValiantLabs/DeepSeek-R1-0528-Qwen3-8B-Esper3
Base Model(s)	DeepSeek R1 0528 Qwen3 8B deepseek-ai/DeepSeek-R1-0528-Qwen3-8B
Model Size	8b
Required VRAM	32.7 GB
Updated	2026-08-03
Maintainer	ValiantLabs
Model Type	qwen3
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-7 4.8 GB: 2-of-7 4.8 GB: 3-of-7 5.0 GB: 4-of-7 4.8 GB: 5-of-7 4.8 GB: 6-of-7 3.5 GB: 7-of-7
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.52.3
Tokenizer Class	LlamaTokenizerFast
Beginning of Sentence Token	<｜begin▁of▁sentence｜>
End of Sentence Token	<｜end▁of▁sentence｜>
Vocabulary Size	151936
Torch Data Type	float32

Rank the DeepSeek R1 0528 Qwen3 8B Esper3 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 Esper3

Best Alternatives	Context / RAM	Downloads	Likes
DeepAnalyze 8B	128K / 16.4 GB	512	93
WebWorld 8B	40K / 16.4 GB	950	64
WebWorld 32B	40K / 65.8 GB	342	75
...nBias Plus SFT Instruct Legacy	40K / 16.4 GB	383	1
WebWorld 14B	40K / 29.5 GB	504	28
...n3 8B UnBias Plus SFT Instruct	40K / 16.4 GB	54	1
QVikhr 3 8B Instruction	40K / 16.4 GB	3846	10
ATLAS 8B Instruct	40K / 16.4 GB	21	2
Qwen3 8B ShiningValiant3	40K / 32.7 GB	11	3
Qwen3 8B Shadow FT BAAI 2K	40K / 16.4 GB	9	0

Note: green Score (e.g. "73.2") means that the model is better than ValiantLabs/DeepSeek-R1-0528-Qwen3-8B-Esper3.