What are the hardware requirements for Vnlegalqa DeepSeek R1 0528 Qwen3 8B Unsloth Bnb 4bit?

Vnlegalqa DeepSeek R1 0528 Qwen3 8B Unsloth Bnb 4bit 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.

Where can I download or evaluate Vnlegalqa DeepSeek R1 0528 Qwen3 8B Unsloth Bnb 4bit?

Vnlegalqa DeepSeek R1 0528 Qwen3 8B Unsloth Bnb 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Vnlegalqa DeepSeek R1 0528 Qwen3 8B Unsloth Bnb 4bit by vulong3896 — VRAM 16.4GB, 128K context

Name: Vnlegalqa DeepSeek R1 0528 Qwen3 8B Unsloth Bnb 4bit
Author: vulong3896

Vnlegalqa DeepSeek R1 0528 Qwen3 8B Unsloth Bnb 4bit is an open-source language model by vulong3896. Features: 8b LLM, VRAM: 16.4GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.19.

4bit Base model:finetune:unsloth/de... Base model:unsloth/deepseek-r1... Conversational En Endpoints compatible Quantized Qwen3 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/vulong3896/vnlegalqa-DeepSeek-R1-0528-Qwen3-8B-unsloth-bnb-4bit

Vnlegalqa DeepSeek R1 0528 Qwen3 8B Unsloth Bnb 4bit Parameters and Internals

LLM Name	Vnlegalqa DeepSeek R1 0528 Qwen3 8B Unsloth Bnb 4bit
Repository 🤗	https://huggingface.co/vulong3896/vnlegalqa-DeepSeek-R1-0528-Qwen3-8B-unsloth-bnb-4bit
Base Model(s)	...0528 Qwen3 8B Unsloth Bnb 4bit unsloth/DeepSeek-R1-0528-Qwen3-8B-unsloth-bnb-4bit
Model Size	8b
Required VRAM	16.4 GB
Updated	2026-07-18
Maintainer	vulong3896
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
Quantization Type	4bit
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.52.4
Tokenizer Class	LlamaTokenizerFast
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16

Rank the Vnlegalqa DeepSeek R1 0528 Qwen3 8B Unsloth Bnb 4bit 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 Vnlegalqa DeepSeek R1 0528 Qwen3 8B Unsloth Bnb 4bit

Best Alternatives	Context / RAM	Downloads	Likes
BehChat SFTv3 Ckpt1	128K / 16.4 GB	6	0
BehChat SFTv2 Mixed Ckpt 6	128K / 16.4 GB	11	0
...0528 Qwen3 8B Unsloth Bnb 4bit	128K / 7.5 GB	4457	13
DeepSeek R1 0528 Qwen3 8B 4bit	128K / 4.6 GB	1781	6
...Seek R1 0528 Qwen3 8B Bnb 4bit	128K / 6.1 GB	923	9
Qwen3 8B LQA 14e Full	128K / 16.4 GB	6	0
...Seek R1 0528 Qwen3 8B 4bit DWQ	128K / 4.6 GB	212	8
Annie Lite V0.2.9 Qwen3 8B	80K / 16.4 GB	5	0
Bonsai 8B Mlx 1bit	64K / 1.3 GB	9396	221
Bonsai 8B MLX Q2.25	64K / 2.3 GB	145	4

Note: green Score (e.g. "73.2") means that the model is better than vulong3896/vnlegalqa-DeepSeek-R1-0528-Qwen3-8B-unsloth-bnb-4bit.