What are the hardware requirements for Affine 5ECeJJpEMjW4pxM9eGyJ5ua3Sebfyr8kcVwLAdaiJLUC8pkW?

Affine 5ECeJJpEMjW4pxM9eGyJ5ua3Sebfyr8kcVwLAdaiJLUC8pkW requires approximately 70.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate Affine 5ECeJJpEMjW4pxM9eGyJ5ua3Sebfyr8kcVwLAdaiJLUC8pkW?

Affine 5ECeJJpEMjW4pxM9eGyJ5ua3Sebfyr8kcVwLAdaiJLUC8pkW is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Affine 5ECeJJpEMjW4pxM9eGyJ5ua3Sebfyr8kcVwLAdaiJLUC8pkW by af-k1 — VRAM 70.4GB

Name: Affine 5ECeJJpEMjW4pxM9eGyJ5ua3Sebfyr8kcVwLAdaiJLUC8pkW
Author: af-k1

Affine 5ECeJJpEMjW4pxM9eGyJ5ua3Sebfyr8kcVwLAdaiJLUC8pkW is an open-source language model by af-k1. Features: 35.1b LLM, VRAM: 70.4GB, LLM Explorer Score: 0.28.

Qwen3 5 moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/af-k1/Affine-5ECeJJpEMjW4pxM9eGyJ5ua3Sebfyr8kcVwLAdaiJLUC8pkW

Affine 5ECeJJpEMjW4pxM9eGyJ5ua3Sebfyr8kcVwLAdaiJLUC8pkW Parameters and Internals

LLM Name	Affine 5ECeJJpEMjW4pxM9eGyJ5ua3Sebfyr8kcVwLAdaiJLUC8pkW
Repository 🤗	https://huggingface.co/af-k1/Affine-5ECeJJpEMjW4pxM9eGyJ5ua3Sebfyr8kcVwLAdaiJLUC8pkW
Model Size	35.1b
Required VRAM	70.4 GB
Updated	2026-08-11
Maintainer	af-k1
Model Type	qwen3_5_moe
Model Files	8.8 GB: 1-of-8 8.8 GB: 2-of-8 8.8 GB: 3-of-8 8.8 GB: 4-of-8 8.8 GB: 5-of-8 8.8 GB: 6-of-8 8.8 GB: 7-of-8 8.8 GB: 8-of-8
Model Architecture	Qwen3_5MoeForConditionalGeneration
Model Max Length	262144
Transformers Version	5.13.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Torch Data Type	bfloat16
Errors	replace

Rank the Affine 5ECeJJpEMjW4pxM9eGyJ5ua3Sebfyr8kcVwLAdaiJLUC8pkW capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 5ECeJJpEMjW4pxM9eGyJ5ua3Sebfyr8kcVwLAdaiJLUC8pkW

Best Alternatives	Context / RAM	Downloads	Likes
Nex N2.5 Mini	0K / 70.4 GB	3121	685
Agents A1	0K / 70.6 GB	23272	629
Nex N2 Mini	0K / 70.4 GB	2289	294
Thomson 1.0 Small	0K / 70.5 GB	214	109
Huihui Agents A1 Abliterated	0K / 70.6 GB	3339	29
Occamy 1.0 FP8	0K / 36.8 GB	209	4
Affine 5g4yy75zuz T6	0K / 70.2 GB	756	0
Affine 5efg6cm3yl King	0K / 70.3 GB	578	0
Nex N2.5 Mini OQ5	0K / 25.4 GB	112	1
Affine 5gedzafcvg Queen	0K / 70.4 GB	718	0

Note: green Score (e.g. "73.2") means that the model is better than af-k1/Affine-5ECeJJpEMjW4pxM9eGyJ5ua3Sebfyr8kcVwLAdaiJLUC8pkW.