What are the hardware requirements for Occamy 1.0 FP8?

Occamy 1.0 FP8 requires approximately 36.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Occamy 1.0 FP8 and how large is it?

Occamy 1.0 FP8 is developed by Accio-Lab, a model with 35.1b 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 Occamy 1.0 FP8?

Occamy 1.0 FP8 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Occamy 1.0 FP8 by Accio-Lab — VRAM 36.8GB

Name: Occamy 1.0 FP8
Author: Accio-Lab

Occamy 1.0 FP8 is an open-source language model by Accio-Lab. Features: 35.1b LLM, VRAM: 36.8GB, License: apache-2.0, LLM Explorer Score: 0.3.

8-bit Base model:accio-lab/occamy-1.... Base model:quantized:accio-lab... Conversational Endpoints compatible Fp8 Image-text-to-text Moe Quantized Qwen3 5 moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Accio-Lab/occamy-1.0-FP8

Occamy 1.0 FP8 Parameters and Internals

LLM Name	Occamy 1.0 FP8
Repository 🤗	https://huggingface.co/Accio-Lab/occamy-1.0-FP8
Base Model(s)	Accio-Lab/occamy-1.0 Accio-Lab/occamy-1.0
Model Size	35.1b
Required VRAM	36.8 GB
Updated	2026-09-18
Maintainer	Accio-Lab
Model Type	qwen3_5_moe
Model Files	3.2 GB: 1-of-14 2.7 GB: 2-of-14 2.7 GB: 3-of-14 2.7 GB: 4-of-14 2.7 GB: 5-of-14 2.7 GB: 6-of-14 2.7 GB: 7-of-14 2.7 GB: 8-of-14 2.7 GB: 9-of-14 2.7 GB: 10-of-14 2.7 GB: 11-of-14 2.7 GB: 12-of-14 3.0 GB: 13-of-14 0.9 GB: 14-of-14
Model Architecture	Qwen3_5MoeForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.8.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Occamy 1.0 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 Occamy 1.0 FP8

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Nex N2.5 Mini	0K / 70.4 GB	3121	685
Agents A1	0K / 70.6 GB	23272	629
Thomson 1.0 Small	0K / 70.5 GB	214	109
Nex N2 Mini	0K / 70.4 GB	2289	294
Huihui Agents A1 Abliterated	0K / 70.6 GB	3339	29
Nex N2.5 Mini MLX OQ6	0K / 29.4 GB	158	1
Nex N2.5 Mini MLX OQ2	0K / 13 GB	144	1
Affine 5g4yy75zuz T6	0K / 70.2 GB	756	0
Affine 5efg6cm3yl King	0K / 70.3 GB	578	0
Nex N2.5 Mini MLX OQ8	0K / 37.5 GB	121	1

Note: green Score (e.g. "73.2") means that the model is better than Accio-Lab/occamy-1.0-FP8.