What are the hardware requirements for Affine 5Eh8v9zUpcBwNLRzE3bRv2FFhnaNPERRLdvEH8SdwLiahUh8?

Affine 5Eh8v9zUpcBwNLRzE3bRv2FFhnaNPERRLdvEH8SdwLiahUh8 requires approximately 65.8 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 5Eh8v9zUpcBwNLRzE3bRv2FFhnaNPERRLdvEH8SdwLiahUh8?

Affine 5Eh8v9zUpcBwNLRzE3bRv2FFhnaNPERRLdvEH8SdwLiahUh8 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Affine 5Eh8v9zUpcBwNLRzE3bRv2FFhnaNPERRLdvEH8SdwLiahUh8 by michael-chan-000 — VRAM 65.8GB, 40K context

Name: Affine 5Eh8v9zUpcBwNLRzE3bRv2FFhnaNPERRLdvEH8SdwLiahUh8
Author: michael-chan-000

Affine 5Eh8v9zUpcBwNLRzE3bRv2FFhnaNPERRLdvEH8SdwLiahUh8 is an open-source language model by michael-chan-000. Features: 32.8b LLM, VRAM: 65.8GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.23.

Lora Lora-merged Qwen3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/michael-chan-000/affine-5Eh8v9zUpcBwNLRzE3bRv2FFhnaNPERRLdvEH8SdwLiahUh8

Affine 5Eh8v9zUpcBwNLRzE3bRv2FFhnaNPERRLdvEH8SdwLiahUh8 Parameters and Internals

LLM Name	Affine 5Eh8v9zUpcBwNLRzE3bRv2FFhnaNPERRLdvEH8SdwLiahUh8
Repository 🤗	https://huggingface.co/michael-chan-000/affine-5Eh8v9zUpcBwNLRzE3bRv2FFhnaNPERRLdvEH8SdwLiahUh8
Model Size	32.8b
Required VRAM	65.8 GB
Updated	2026-07-29
Maintainer	michael-chan-000
Model Type	qwen3
Model Files	4.9 GB: 1-of-14 4.9 GB: 2-of-14 4.9 GB: 3-of-14 4.9 GB: 4-of-14 4.9 GB: 5-of-14 4.9 GB: 6-of-14 4.9 GB: 7-of-14 4.9 GB: 8-of-14 4.9 GB: 9-of-14 4.9 GB: 10-of-14 4.9 GB: 11-of-14 4.9 GB: 12-of-14 4.9 GB: 13-of-14 2.1 GB: 14-of-14
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.57.6
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
LoRA Model	Yes
Errors	replace

Rank the Affine 5Eh8v9zUpcBwNLRzE3bRv2FFhnaNPERRLdvEH8SdwLiahUh8 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

Best Alternatives to Affine 5Eh8v9zUpcBwNLRzE3bRv2FFhnaNPERRLdvEH8SdwLiahUh8

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KAT Dev	128K / 65.8 GB	486	218
KAT Dev FP8	128K / 34.5 GB	49	4
...n6HsLp7BhQnSv4XQK4Bys5x8StV1mB	40K / 65.8 GB	510	0
...H5WNQYVTY7SSCbxU3kxqhNybtJeNGb	40K / 65.8 GB	602	0
...vXpbGfnooeuWfr3VueaZrrfWJSou7y	40K / 65.3 GB	562	0
...YCm3AvdiA7dPA34nvB5HwSubVoFREm	40K / 65.7 GB	490	0
...iW6ywTszxd6dKqFoPtKdLQzMkT1kCf	40K / 65.3 GB	372	0
...3uLgTv9xEDiKq2Qx2FVdkuNShfXkwk	40K / 65.7 GB	423	0
...QneuVNKazgCesbu3JDPT3sShv7izBf	40K / 65.5 GB	100	0
...BQQjtS3cXkDV7x46ZUcoUP3pFRGoj4	40K / 65.3 GB	281	0

Note: green Score (e.g. "73.2") means that the model is better than michael-chan-000/affine-5Eh8v9zUpcBwNLRzE3bRv2FFhnaNPERRLdvEH8SdwLiahUh8.