What are the hardware requirements for Hunyuan MT 7B?

Hunyuan MT 7B requires approximately 16.1 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Hunyuan MT 7B and how large is it?

Hunyuan MT 7B is developed by tencent, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Hunyuan MT 7B perform on standard benchmarks?

Hunyuan MT 7B has the following published scores: LMSYS ELO 1341. Compare against reference models on this page or on the LLM Explorer leaderboards.

Hunyuan MT 7B by tencent — VRAM 16.1GB, 32K context

Name: Hunyuan MT 7B
Author: tencent

Hunyuan MT 7B is an open-source language model by tencent. Features: 7b LLM, VRAM: 16.1GB, Context: 32K, LLM Explorer Score: 0.41, ELO: 1341.

Endpoints compatible Hunyuan v1 dense Region:us Safetensors Sharded Tensorflow Translation

Model Card on HF 🤗: https://huggingface.co/tencent/Hunyuan-MT-7B

Hunyuan MT 7B Benchmarks

LMSys ELO 1341 vs 1272 (so35) 5.4%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Hunyuan MT 7B Parameters and Internals

LLM Name	Hunyuan MT 7B
Repository 🤗	https://huggingface.co/tencent/Hunyuan-MT-7B
Model Size	7b
Required VRAM	16.1 GB
Updated	2026-06-28
Maintainer	tencent
Model Type	hunyuan_v1_dense
Model Files	5.3 GB: 1-of-4 5.3 GB: 2-of-4 5.4 GB: 3-of-4 0.1 GB: 4-of-4
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
Model Architecture	HunYuanDenseV1ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.41.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|pad\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Hunyuan MT 7B capabilities

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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

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