What are the hardware requirements for Qwen3 8B Tawny Owl 128 Neurons?

Qwen3 8B Tawny Owl 128 Neurons requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 8B Tawny Owl 128 Neurons and how large is it?

Qwen3 8B Tawny Owl 128 Neurons is developed by Sauers, 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 Tawny Owl 128 Neurons?

Qwen3 8B Tawny Owl 128 Neurons is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 8B Tawny Owl 128 Neurons by Sauers — VRAM 0.2GB

Name: Qwen3 8B Tawny Owl 128 Neurons
Author: Sauers

Qwen3 8B Tawny Owl 128 Neurons is an open-source language model by Sauers. Features: 8b LLM, VRAM: 0.2GB, License: apache-2.0, LLM Explorer Score: 0.32.

Adapter Base model:adapter:qwen/qwen3-... Base model:qwen/qwen3-8b Finetuned Interpretability Lora Neuron-level-finetuning Peft Persona Qwen3 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Sauers/Qwen3-8B-tawny-owl-128-neurons

Qwen3 8B Tawny Owl 128 Neurons Parameters and Internals

LLM Name	Qwen3 8B Tawny Owl 128 Neurons
Repository 🤗	https://huggingface.co/Sauers/Qwen3-8B-tawny-owl-128-neurons
Base Model(s)	Qwen3 8B Qwen/Qwen3-8B
Model Size	8b
Required VRAM	0.2 GB
Updated	2026-10-22
Maintainer	Sauers
Model Files	0.2 GB 0.0 GB
Model Architecture	Adapter
License	apache-2.0
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	gate_proj\|up_proj\|down_proj
LoRA Alpha	32
LoRA Dropout	0
R Param	32

Rank the Qwen3 8B Tawny Owl 128 Neurons capabilities

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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

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