What are the hardware requirements for Qwen3 8B UnBias Plus SFT Instruct?

Qwen3 8B UnBias Plus SFT Instruct requires approximately 16.4 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 8B UnBias Plus SFT Instruct and how large is it?

Qwen3 8B UnBias Plus SFT Instruct is developed by vector-institute, 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 Qwen3 8B UnBias Plus SFT Instruct?

Qwen3 8B UnBias Plus SFT Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 8B UnBias Plus SFT Instruct by vector-institute — VRAM 16.4GB, 40K context

Name: Qwen3 8B UnBias Plus SFT Instruct
Author: vector-institute

Qwen3 8B UnBias Plus SFT Instruct is an open-source language model by vector-institute. Features: 8b LLM, VRAM: 16.4GB, Context: 40K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.24.

8b Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-8b Bias-detection Conversational Dataset:vector-institute/unbia... En Finetuned Instruct News-debiasing Qwen3 Region:us Safetensors Sft Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/vector-institute/Qwen3-8B-UnBias-Plus-SFT-Instruct

Qwen3 8B UnBias Plus SFT Instruct Parameters and Internals

LLM Name	Qwen3 8B UnBias Plus SFT Instruct
Repository 🤗	https://huggingface.co/vector-institute/Qwen3-8B-UnBias-Plus-SFT-Instruct
Base Model(s)	Qwen3 8B Qwen/Qwen3-8B
Model Size	8b
Required VRAM	16.4 GB
Updated	2026-07-10
Maintainer	vector-institute
Model Type	qwen3
Instruction-Based	Yes
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
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3 8B UnBias Plus SFT Instruct capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
Text Generation
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Best Alternatives to Qwen3 8B UnBias Plus SFT Instruct

Best Alternatives	Context / RAM	Downloads	Likes
DeepAnalyze 8B	128K / 16.4 GB	512	93
...epSeek R1 0528 Qwen3 8B Esper3	128K / 32.7 GB	15	3
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
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 vector-institute/Qwen3-8B-UnBias-Plus-SFT-Instruct.