What are the hardware requirements for Arete 27B FP8?

Arete 27B FP8 requires approximately 30.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Arete 27B FP8 and how large is it?

Arete 27B FP8 is developed by processreap, a model with 27b 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 Arete 27B FP8?

Arete 27B FP8 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Arete 27B FP8 by processreap — VRAM 30.7GB

Name: Arete 27B FP8
Author: processreap

Arete 27B FP8 is an open-source language model by processreap. Features: 27b LLM, VRAM: 30.7GB, License: apache-2.0, LLM Explorer Score: 0.3.

Arete Base model:nousresearch/arete-... Base model:quantized:nousresea... Conversational Fp8 Nous-research Quantized Qwen3.8 Qwen3 5 Region:us Safetensors Sharded Tensorflow Vllm

Model Card on HF 🤗: https://huggingface.co/processreap/Arete-27B-FP8

Arete 27B FP8 Parameters and Internals

LLM Name	Arete 27B FP8
Repository 🤗	https://huggingface.co/processreap/Arete-27B-FP8
Base Model(s)	Arete 27B NousResearch/Arete-27B
Model Size	27b
Required VRAM	30.7 GB
Updated	2026-11-10
Maintainer	processreap
Model Type	qwen3_5
Model Files	2.5 GB: 1-of-18 1.5 GB: 2-of-18 2.5 GB: 3-of-18 2.0 GB: 4-of-18 1.1 GB: 5-of-18 2.0 GB: 6-of-18 1.1 GB: 7-of-18 2.0 GB: 8-of-18 1.1 GB: 9-of-18 2.0 GB: 10-of-18 1.1 GB: 11-of-18 2.0 GB: 12-of-18 1.1 GB: 13-of-18 2.0 GB: 14-of-18 1.1 GB: 15-of-18 2.0 GB: 16-of-18 1.1 GB: 17-of-18 2.5 GB: 18-of-18
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.12.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Arete 27B FP8 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 Arete 27B FP8

Best Alternatives	Context / RAM	Downloads	Likes
...wopus3.8 27B Flash Mlx OQ4e 1M	1024K / 16.9 GB	211	1
Agens Pilot	1024K / 54.7 GB	86	3
Qwen3.8 27B NPU2	256K / GB	252	4
JEV 27B VL	0K / 55.6 GB	1525286	966
Arete 27B	0K / 54.7 GB	2407	346
Clef	0K / 54.7 GB	22043	2237
Qwen3.6 27B	0K / 55.4 GB	6728138	2197
Qwen3.8 27B	0K / 55.6 GB	2	8753
Qwen3.8 27B NVFP4 DGX SPARK V2	0K / 19.8 GB	11317	113
Qwen3.6 27B NVFP4	0K / 22 GB	1887525	419

Note: green Score (e.g. "73.2") means that the model is better than processreap/Arete-27B-FP8.