What are the hardware requirements for Qwen3 SG1 10S III INSTRUCT Float32 256K Ctx 6B?

Qwen3 SG1 10S III INSTRUCT Float32 256K Ctx 6B requires approximately 25.3 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 SG1 10S III INSTRUCT Float32 256K Ctx 6B and how large is it?

Qwen3 SG1 10S III INSTRUCT Float32 256K Ctx 6B is developed by DavidAU, a model with 6b 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 SG1 10S III INSTRUCT Float32 256K Ctx 6B?

Qwen3 SG1 10S III INSTRUCT Float32 256K Ctx 6B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 SG1 10S III INSTRUCT Float32 256K Ctx 6B by DavidAU — VRAM 25.3GB, 256K context

Name: Qwen3 SG1 10S III INSTRUCT Float32 256K Ctx 6B
Author: DavidAU

Qwen3 SG1 10S III INSTRUCT Float32 256K Ctx 6B is an open-source language model by DavidAU. Features: 6b LLM, VRAM: 25.3GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.2.

Arxiv:2401.02415 All uses cases Autotrain compatible Base model:davidau/qwen3-jan-v... Base model:finetune:davidau/qw... Brainstorm Brainstorm 20x Chat Code Code generation Codegen Coder Coding Conversational Creative En Endpoints compatible Fantasy Finetuned Horror Instruct Jan-v1 Qwen Qwen3 Qwencoder Reasoning Region:us Safetensors Science fiction Sg1 Sharded Stargate Tensorflow Thinking Unsloth

Model Card on HF 🤗: https://huggingface.co/DavidAU/Qwen3-SG1-10S-III-INSTRUCT-Float32-256k-ctx-6B

Qwen3 SG1 10S III INSTRUCT Float32 256K Ctx 6B Parameters and Internals

LLM Name	Qwen3 SG1 10S III INSTRUCT Float32 256K Ctx 6B
Repository 🤗	https://huggingface.co/DavidAU/Qwen3-SG1-10S-III-INSTRUCT-Float32-256k-ctx-6B
Base Model(s)	...n V1 256K Ctx 6B Brainstorm20x DavidAU/Qwen3-Jan-v1-256k-ctx-6B-Brainstorm20x
Model Size	6b
Required VRAM	25.3 GB
Updated	2025-09-23
Maintainer	DavidAU
Model Type	qwen3
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-6 4.9 GB: 2-of-6 5.0 GB: 3-of-6 5.0 GB: 4-of-6 3.8 GB: 5-of-6 1.6 GB: 6-of-6
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	4.56.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

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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
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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