What are the hardware requirements for Affine B3 5DoXqpS422EAYqCNegXdcetJJxS8qfRqUE1fd4KRvWzYsS2s?

Affine B3 5DoXqpS422EAYqCNegXdcetJJxS8qfRqUE1fd4KRvWzYsS2s requires approximately 131 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.

Where can I download or evaluate Affine B3 5DoXqpS422EAYqCNegXdcetJJxS8qfRqUE1fd4KRvWzYsS2s?

Affine B3 5DoXqpS422EAYqCNegXdcetJJxS8qfRqUE1fd4KRvWzYsS2s is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Affine B3 5DoXqpS422EAYqCNegXdcetJJxS8qfRqUE1fd4KRvWzYsS2s by ottishomenick — VRAM 131GB, 40K context

Name: Affine B3 5DoXqpS422EAYqCNegXdcetJJxS8qfRqUE1fd4KRvWzYsS2s
Author: ottishomenick

Affine B3 5DoXqpS422EAYqCNegXdcetJJxS8qfRqUE1fd4KRvWzYsS2s is an open-source language model by ottishomenick. Features: 32.8b LLM, VRAM: 131GB, Context: 40K, LLM Explorer Score: 0.23.

Qwen3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ottishomenick/Affine-b3-5DoXqpS422EAYqCNegXdcetJJxS8qfRqUE1fd4KRvWzYsS2s

Affine B3 5DoXqpS422EAYqCNegXdcetJJxS8qfRqUE1fd4KRvWzYsS2s Parameters and Internals

LLM Name	Affine B3 5DoXqpS422EAYqCNegXdcetJJxS8qfRqUE1fd4KRvWzYsS2s
Repository 🤗	https://huggingface.co/ottishomenick/Affine-b3-5DoXqpS422EAYqCNegXdcetJJxS8qfRqUE1fd4KRvWzYsS2s
Model Size	32.8b
Required VRAM	131 GB
Updated	2026-05-20
Maintainer	ottishomenick
Model Type	qwen3
Model Files	11.9 GB: 1-of-12 11.9 GB: 2-of-12 11.7 GB: 3-of-12 11.7 GB: 4-of-12 11.7 GB: 5-of-12 11.7 GB: 6-of-12 11.7 GB: 7-of-12 11.7 GB: 8-of-12 11.7 GB: 9-of-12 11.7 GB: 10-of-12 11.7 GB: 11-of-12 1.9 GB: 12-of-12
Model Architecture	Qwen3ForCausalLM
Context Length	40960
Model Max Length	40960
Transformers Version	5.8.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Affine B3 5DoXqpS422EAYqCNegXdcetJJxS8qfRqUE1fd4KRvWzYsS2s 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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Note: green Score (e.g. "73.2") means that the model is better than ottishomenick/Affine-b3-5DoXqpS422EAYqCNegXdcetJJxS8qfRqUE1fd4KRvWzYsS2s.