What are the hardware requirements for HY MT1.5 7B 6bit?

HY MT1.5 7B 6bit requires approximately 6.1 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 HY MT1.5 7B 6bit and how large is it?

HY MT1.5 7B 6bit is developed by mlx-community, a model with 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 HY MT1.5 7B 6bit?

HY MT1.5 7B 6bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

HY MT1.5 7B 6bit by mlx-community — VRAM 6.1GB, 256K context

Name: HY MT1.5 7B 6bit
Author: mlx-community

HY MT1.5 7B 6bit is an open-source language model by mlx-community. Features: 7b LLM, VRAM: 6.1GB, Context: 256K, Quantized, LLM Explorer Score: 0.22.

6-bit 6bit Ar Base model:quantized:tencent/h... Base model:tencent/hy-mt1.5-7b Bn Bo Conversational Cs De En Es Fa Fr Gu He Hi Hunyuan v1 dense Id It Ja Kk Km Ko Mlx Mn Mr Ms My Nl Pl Pt Quantized Region:us Ru Safetensors Sharded Ta Te Tensorflow Th Tl Tr Translation Ug Uk Ur Vi Zh

Model Card on HF 🤗: https://huggingface.co/mlx-community/HY-MT1.5-7B-6bit

HY MT1.5 7B 6bit Parameters and Internals

LLM Name	HY MT1.5 7B 6bit
Repository 🤗	https://huggingface.co/mlx-community/HY-MT1.5-7B-6bit
Base Model(s)	tencent/HY-MT1.5-7B tencent/HY-MT1.5-7B
Model Size	7b
Required VRAM	6.1 GB
Updated	2026-08-10
Maintainer	mlx-community
Model Type	hunyuan_v1_dense
Model Files	5.3 GB: 1-of-2 0.8 GB: 2-of-2
Supported Languages	zh en fr pt es ja tr ru ar ko th it de vi ms id tl hi pl cs nl km my fa gu ur te mr he bn ta uk bo kk mn ug
Quantization Type	6bit
Model Architecture	HunYuanDenseV1ForCausalLM
Context Length	262144
Model Max Length	262144
Transformers Version	4.57.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|pad\|>
Vocabulary Size	128167
Torch Data Type	bfloat16

Rank the HY MT1.5 7B 6bit 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 HY MT1.5 7B 6bit

Best Alternatives	Context / RAM	Downloads	Likes
Hy MT2 7B	256K / 16.1 GB	26629	204
HY MT1.5 7B	256K / 16.1 GB	818	163
HY MT1.5 7B Bf16	256K / 15 GB	12	1
Hunyuan 7B Pretrain	256K / 15 GB	326	15
Hunyuan MT 7B	32K / 16.1 GB	5330	732
Hunyuan MT Chimera 7B	32K / 16.1 GB	181	92
Hunyuan 7B Instruct AWQ Int4	32K / 4.7 GB	234	2
Hunyuan 7B Instruct FP8	32K / 8 GB	56	6
Hunyuan 7B Instruct GPTQ Int4	32K / 4.7 GB	22	6
Hunyuan 7B Instruct 0124	32K / 5 GB	101	51

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/HY-MT1.5-7B-6bit.