What are the hardware requirements for Hy3 OQ2e 2.31bpw?

Hy3 OQ2e 2.31bpw requires approximately 85 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Hy3 OQ2e 2.31bpw and how large is it?

Hy3 OQ2e 2.31bpw is developed by mlx-community, a model with 295b 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 Hy3 OQ2e 2.31bpw?

Hy3 OQ2e 2.31bpw is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Hy3 OQ2e 2.31bpw by mlx-community — VRAM 85GB, 256K context

Name: Hy3 OQ2e 2.31bpw
Author: mlx-community

Hy3 OQ2e 2.31bpw is an open-source language model by mlx-community. Features: 295b LLM, VRAM: 85GB, Context: 256K, License: apache-2.0.

2-bit 2.31bpw Base model:quantized:tencent/h... Base model:tencent/hy3 Conversational Hunyuan Hy v3 Imatrix Mlx Moe Oq Oqe Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/Hy3-oQ2e-2.31bpw

Hy3 OQ2e 2.31bpw Parameters and Internals

LLM Name	Hy3 OQ2e 2.31bpw
Repository 🤗	https://huggingface.co/mlx-community/Hy3-oQ2e-2.31bpw
Base Model(s)	Hy3 tencent/Hy3
Model Size	295b
Required VRAM	85 GB
Updated	2026-10-24
Maintainer	mlx-community
Model Type	hy_v3
Model Files	5.0 GB: 1-of-17 5.0 GB: 2-of-17 5.3 GB: 3-of-17 5.0 GB: 4-of-17 5.3 GB: 5-of-17 5.0 GB: 6-of-17 5.0 GB: 7-of-17 5.0 GB: 8-of-17 5.0 GB: 9-of-17 5.0 GB: 10-of-17 5.0 GB: 11-of-17 5.0 GB: 12-of-17 5.0 GB: 13-of-17 5.3 GB: 14-of-17 5.0 GB: 15-of-17 5.3 GB: 16-of-17 3.8 GB: 17-of-17
Model Architecture	HYV3ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.6.0
Tokenizer Class	TokenizersBackend
Padding Token	<｜hy_pad:opensource｜>
Vocabulary Size	120832

Rank the Hy3 OQ2e 2.31bpw 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 Hy3 OQ2e 2.31bpw

Best Alternatives	Context / RAM	Downloads	Likes
Hy3 Heretic	256K / 323.1 GB	324	6
Hy3 Preview 4bit	256K / 166.5 GB	1563	3
Hy3 Preview 8bit	256K / 235 GB	141	1
Hy3 Preview 6bit	256K / 227.6 GB	93	1
Hy3 GPTQ RTN 4bit Tp8	256K / 161.3 GB	46	2

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Hy3-oQ2e-2.31bpw.