What are the hardware requirements for Occamy 1.0?

Occamy 1.0 requires approximately 69.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Occamy 1.0 and how large is it?

Occamy 1.0 is developed by Accio-Lab, a model with 35b 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?

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

Occamy 1.0 by Accio-Lab — VRAM 69.7GB

Name: Occamy 1.0
Rating: 4 (1 reviews)
Author: Accio-Lab

Occamy 1.0 is an open-source language model by Accio-Lab. Features: 35b LLM, VRAM: 69.7GB, License: apache-2.0, LLM Explorer Score: 0.37.

Arxiv:2609.11977 Agent Agentic Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.6-35b-a3... Co-work Coding Conversational Endpoints compatible Image-text-to-text Long-context Mixture-of-experts Qwen3 5 moe Region:us Safetensors Sharded Tensorflow Tool-use

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

Occamy 1.0 Parameters and Internals

LLM Name	Occamy 1.0
Repository 🤗	https://huggingface.co/Accio-Lab/occamy-1.0
Base Model(s)	Qwen/Qwen3.6-35B-A3B Qwen/Qwen3.6-35B-A3B
Model Size	35b
Required VRAM	69.7 GB
Updated	2026-10-13
Maintainer	Accio-Lab
Model Type	qwen3_5_moe
Model Files	5.4 GB: 0-of-13 5.4 GB: 1-of-13 5.4 GB: 2-of-13 5.4 GB: 3-of-13 5.4 GB: 4-of-13 5.4 GB: 5-of-13 5.4 GB: 6-of-13 5.4 GB: 7-of-13 5.4 GB: 8-of-13 5.4 GB: 9-of-13 5.4 GB: 10-of-13 5.4 GB: 11-of-13 4.9 GB: 12-of-13 0.9 GB
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 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

Quantized Models of the Occamy 1.0

Model	Likes	Downloads	VRAM
Occamy 1.0 MLX 4bit	2	734	19 GB
Occamy 1.0 OQ8 Fp16 Mtp	1	113	38 GB
Occamy 1.0 GPTQ Int4 W4A16	1	15	22 GB

Best Alternatives to Occamy 1.0

Best Alternatives	Context / RAM	Downloads	Likes
....5 35B A3B Sceptic V3 1M W4A16	1024K / 26.1 GB	223	0
...AgentWorld 35B A3B Abliterated	256K / 69.2 GB	962	18
Ornith 1.5 35B A3B NPU2	256K / GB	78	0
Qwen3.6 35B A3B NPU2	256K / GB	88	0
Qwen3.6 35B A3B	0K / 72.2 GB	5540855	2648
Qwen3.5 35B A3B	0K / 72.3 GB	2158511	1482
Qwen3.6 35B A3B NVFP4	0K / 23.4 GB	8788684	482
Ornith 1.0 35B	0K / 70.4 GB	1417207	506
Qwen3.6 35B A3B FP8	0K / 0.8 GB	8984811	343
Qwen AgentWorld 35B A3B	0K / 69.2 GB	66155	665

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