What are the hardware requirements for Occamy 1.0 MLX 4bit?

Occamy 1.0 MLX 4bit requires approximately 19.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Occamy 1.0 MLX 4bit and how large is it?

Occamy 1.0 MLX 4bit is developed by Accio-Lab, a model with 34.7b 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 MLX 4bit?

Occamy 1.0 MLX 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Occamy 1.0 MLX 4bit by Accio-Lab — VRAM 19.5GB

Name: Occamy 1.0 MLX 4bit
Author: Accio-Lab

Occamy 1.0 MLX 4bit is an open-source language model by Accio-Lab. Features: 34.7b LLM, VRAM: 19.5GB, Quantized, LLM Explorer Score: 0.31.

4-bit 4bit Base model:accio-lab/occamy-1.... Base model:quantized:accio-lab... Conversational Mlx Quantized Qwen3 5 moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Accio-Lab/occamy-1.0-MLX-4bit

Occamy 1.0 MLX 4bit Parameters and Internals

LLM Name	Occamy 1.0 MLX 4bit
Repository 🤗	https://huggingface.co/Accio-Lab/occamy-1.0-MLX-4bit
Base Model(s)	Accio-Lab/occamy-1.0 Accio-Lab/occamy-1.0
Model Size	34.7b
Required VRAM	19.5 GB
Updated	2026-09-20
Maintainer	Accio-Lab
Model Type	qwen3_5_moe
Model Files	5.3 GB: 1-of-4 5.4 GB: 2-of-4 5.4 GB: 3-of-4 3.4 GB: 4-of-4
Quantization Type	4bit
Model Architecture	Qwen3_5MoeForConditionalGeneration
Model Max Length	262144
Transformers Version	5.8.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Occamy 1.0 MLX 4bit 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 MLX 4bit

Best Alternatives	Context / RAM	Downloads	Likes
Nex N2.5 Mini MLX 4bit	0K / 19.5 GB	1077	6
Nex N2.5 Mini OptiQ 4bit	0K / 22.2 GB	282	2
Agents A1 OptiQ 4bit	0K / 22.2 GB	891	3
...CybersecurityLLM V1.0 Mlx 4Bit	0K / 19.5 GB	904	47
KAT Coder V2.5 Dev OptiQ 4bit	0K / 21.9 GB	114	3
XYZ Aquila Mini OptiQ 4bit	0K / 36.3 GB	34	3
Edge0 35B A3B Preview	0K / 19.6 GB	951	98
Affine 5dfqbbh8ev Sft	0K / 69.3 GB	388	0
5eqdtdzqle Ckpt1000 M7	0K / 71.7 GB	22	0

Note: green Score (e.g. "73.2") means that the model is better than Accio-Lab/occamy-1.0-MLX-4bit.