tencent / Hunyuan-7B-Instruct

huggingface.co
Total runs: 51.3K
24-hour runs: 0
7-day runs: -63
30-day runs: 34.5K
Model's Last Updated: September 02 2025
text-generation

Introduction of Hunyuan-7B-Instruct

Model Details of Hunyuan-7B-Instruct


GITHUB

Model Introduction

The 7B models released by Hunyuan this time: Hunyuan-7B-Pretrain and Hunyuan-7B-Instruct , use better data allocation and training, have strong performance, and have achieved a good balance between computing and performance. It stands out from many large-scale language models and is currently one of the strongest Chinese 7B Dense models.

Introduction to Technical Advantages
Model
  • Extended long text capability to 256K and utilizes Grouped Query Attention (GQA)
Inference Framework
  • This open-source release offers two inference backend options tailored for the Hunyuan-7B model: the popular vLLM-backend and the TensorRT-LLM Backend. In this release, we are initially open-sourcing the vLLM solution, with plans to release the TRT-LLM solution in the near future.
Training Framework
  • The Hunyuan-7B open-source model is fully compatible with the Hugging Face format, enabling researchers and developers to perform model fine-tuning using the hf-deepspeed framework. Learn more : Tencent-Hunyuan-Large 。

Related News
  • 2025.1.24 We have open-sourced Hunyuan-7B-Pretrain , Hunyuan-7B-Instruct on Hugging Face.
Benchmark

Note: The following benchmarks are evaluated by TRT-LLM-backend

Hunyuan-7B-Pretrain

Qwen2.5-7B Llama3-8B OLMO2-7B HunYuan-7B-V2
MMLU 74.26 66.95 63.7 75.37
MMLU-Pro 46.17 34.04 31 47.54
MMLU-CF 61.01 55.21 52.94 59.62
MMLU-Redux 73.47 66.44 63.74 74.54
BBH 70.4 62.16 38.01 70.77
HellaSwag 75.82 78.24 61.97 80.77
WinoGrande 69.69 73.64 74.43 71.51
PIQA 79.33 80.52 80.63 81.45
SIQA 77.48 61.05 65.2 79.73
NaturalQuestions 31.77 35.43 36.9 33.52
DROP 68.2 60.13 60.8 68.63
ARC-C 91.64 77.59 74.92 91.97
TriviaQA 69.31 78.61 78 74.31
Chinese-SimpleQA 30.37 19.4 7.35 30.51
SimpleQA 4.98 7.68 4.51 3.73
CMMLU 81.39 50.25 38.79 82.19
C-Eval 81.11 50.4 38.53 82.12
C3 71.77 61.5 54 79.07
GSM8K 82.71 57.54 67.5 93.33
MATH 49.6 18.45 19 62.15
CMATH 84.33 52.83 44 88.5
HumanEval 57.93 35.98 15.24 59.15

Hunyuan-7B-Instruct

Model Qwen2.5-7B-Instruct Llama-3-8B-Instruct OLMo-2-1124-7B-DPO Hunyuan-7B-Instruct
ARC-C 89.83 82.4 - 88.81
BBH 66.24 - 46.6 76.47
CEval 76.82 - - 81.8
CMMLU 78.55 - - 82.29
DROP_F1 80.63 - 60.5 82.96
GPQA 36.87 34.6 - 47.98
Gsm8k 80.14 80.6 85.1 90.14
HellaSwag 83.34 - - 86.57
HumanEval 84.8 60.4 - 84.0
MATH 72.86 - 32.5 70.64
MMLU 72.36 68.5 61.3 79.18
Quick Start

You can refer to the content in Tencent-Hunyuan-Large to get started quickly. The training and inference code can use the version provided in this github repository.

Inference Framework
  • This open-source release offers two inference backend options tailored for the Hunyuan-7B model: the popular vLLM-backend and the TensorRT-LLM Backend. In this release, we are initially open-sourcing the vLLM solution, with plans to release the TRT-LLM solution in the near future.
Inference Performance

This section presents the efficiency test results of deploying various models using vLLM, including inference speed (tokens/s) under different batch sizes.

Inference Framework Model Number of GPUs (GPU productA) input_length batch=1 batch=4
vLLM hunyuan-7B 1 2048 78.9 279.5
Contact Us

If you would like to leave a message for our R&D and product teams, Welcome to contact our open-source team . You can also contact us via email ( [email protected] ).

Runs of tencent Hunyuan-7B-Instruct on huggingface.co

51.3K
Total runs
0
24-hour runs
55
3-day runs
-63
7-day runs
34.5K
30-day runs

More Information About Hunyuan-7B-Instruct huggingface.co Model

More Hunyuan-7B-Instruct license Visit here:

https://choosealicense.com/licenses/tencent-license

Hunyuan-7B-Instruct huggingface.co

Hunyuan-7B-Instruct huggingface.co is an AI model on huggingface.co that provides Hunyuan-7B-Instruct's model effect (), which can be used instantly with this tencent Hunyuan-7B-Instruct model. huggingface.co supports a free trial of the Hunyuan-7B-Instruct model, and also provides paid use of the Hunyuan-7B-Instruct. Support call Hunyuan-7B-Instruct model through api, including Node.js, Python, http.

Hunyuan-7B-Instruct huggingface.co Url

https://huggingface.co/tencent/Hunyuan-7B-Instruct

tencent Hunyuan-7B-Instruct online free

Hunyuan-7B-Instruct huggingface.co is an online trial and call api platform, which integrates Hunyuan-7B-Instruct's modeling effects, including api services, and provides a free online trial of Hunyuan-7B-Instruct, you can try Hunyuan-7B-Instruct online for free by clicking the link below.

tencent Hunyuan-7B-Instruct online free url in huggingface.co:

https://huggingface.co/tencent/Hunyuan-7B-Instruct

Hunyuan-7B-Instruct install

Hunyuan-7B-Instruct is an open source model from GitHub that offers a free installation service, and any user can find Hunyuan-7B-Instruct on GitHub to install. At the same time, huggingface.co provides the effect of Hunyuan-7B-Instruct install, users can directly use Hunyuan-7B-Instruct installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Hunyuan-7B-Instruct install url in huggingface.co:

https://huggingface.co/tencent/Hunyuan-7B-Instruct

Url of Hunyuan-7B-Instruct

Hunyuan-7B-Instruct huggingface.co Url

Provider of Hunyuan-7B-Instruct huggingface.co

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