Update README.md
Browse files
README.md
CHANGED
@@ -14,22 +14,22 @@ library_name: transformers
|
|
14 |
</p><p></p>
|
15 |
|
16 |
|
17 |
-
<p align="center">
|
18 |
-
🤗 <a href="https://huggingface.co/tencent/"><b>Hugging Face</b></a> |
|
19 |
-
<img src="https://avatars.githubusercontent.com/u/109945100?s=200&v=4" width="16"/> <a href="https://modelscope.cn/models/Tencent-Hunyuan/Hunyuan-A13B-Instruct"><b>ModelScope</b></a> |
|
20 |
-
<img src="https://cdn-avatars.huggingface.co/v1/production/uploads/6594d0c6c5f1cd69a48b261d/04ZNQlAfs08Bfg4B1o3XO.png" width="14"/> <a href="https://github.com/Tencent/AngelSlim/tree/main"><b>AngelSlim</b></a>
|
21 |
-
</p>
|
22 |
|
23 |
<p align="center">
|
24 |
-
|
|
|
25 |
🕖 <a href="https://cloud.tencent.com/product/hunyuan"><b>HunyuanAPI</b></a> |
|
26 |
-
🕹️ <a href="https://hunyuan.tencent.com/"><b>Demo</b></a>  
|
|
|
27 |
</p>
|
28 |
|
|
|
29 |
<p align="center">
|
30 |
<a href="https://github.com/Tencent-Hunyuan/Hunyuan-7B"><b>GITHUB</b></a> |
|
31 |
<a href="https://cnb.cool/tencent/hunyuan/Hunyuan-7B"><b>cnb.cool</b></a> |
|
32 |
-
<a href="https://github.com/Tencent-Hunyuan/Hunyuan-7B/blob/main/LICENSE"><b>LICENSE</b></a>
|
|
|
|
|
33 |
</p>
|
34 |
|
35 |
|
@@ -47,10 +47,9 @@ We have released a series of Hunyuan dense models, comprising both pre-trained a
|
|
47 |
- **Efficient Inference**: Utilizes Grouped Query Attention (GQA) and supports multiple quantization formats, enabling highly efficient inference.
|
48 |
|
49 |
## Related News
|
50 |
-
* 2025.7.30 We have open-sourced **Hunyuan-0.5B-Pretrain** ,
|
51 |
<br>
|
52 |
|
53 |
-
|
54 |
## Benchmark
|
55 |
|
56 |
Note: The following benchmarks are evaluated by TRT-LLM-backend on several **base models**.
|
|
|
14 |
</p><p></p>
|
15 |
|
16 |
|
|
|
|
|
|
|
|
|
|
|
17 |
|
18 |
<p align="center">
|
19 |
+
🤗 <a href="https://huggingface.co/tencent/Hunyuan-7B-Instruct-FP8"><b>Hugging Face</b></a> |
|
20 |
+
🖥️ <a href="https://hunyuan.tencent.com" style="color: red;"><b>Official Website</b></a> |
|
21 |
🕖 <a href="https://cloud.tencent.com/product/hunyuan"><b>HunyuanAPI</b></a> |
|
22 |
+
🕹️ <a href="https://hunyuan.tencent.com/"><b>Demo</b></a> |
|
23 |
+
🤖 <a href="https://www.modelscope.cn/models/Tencent-Hunyuan/Hunyuan-7B-Instruct-FP8"><b>ModelScope</b></a>
|
24 |
</p>
|
25 |
|
26 |
+
|
27 |
<p align="center">
|
28 |
<a href="https://github.com/Tencent-Hunyuan/Hunyuan-7B"><b>GITHUB</b></a> |
|
29 |
<a href="https://cnb.cool/tencent/hunyuan/Hunyuan-7B"><b>cnb.cool</b></a> |
|
30 |
+
<a href="https://github.com/Tencent-Hunyuan/Hunyuan-7B/blob/main/LICENSE.txt"><b>LICENSE</b></a> |
|
31 |
+
<a href="https://raw.githubusercontent.com/Tencent-Hunyuan/Hunyuan-A13B/main/assets/1751881231452.jpg"><b>WeChat</b></a> |
|
32 |
+
<a href="https://discord.gg/bsPcMEtV7v"><b>Discord</b></a>
|
33 |
</p>
|
34 |
|
35 |
|
|
|
47 |
- **Efficient Inference**: Utilizes Grouped Query Attention (GQA) and supports multiple quantization formats, enabling highly efficient inference.
|
48 |
|
49 |
## Related News
|
50 |
+
* 2025.7.30 We have open-sourced **Hunyuan-0.5B-Pretrain** , **Hunyuan-0.5B-Instruct** , **Hunyuan-1.8B-Pretrain** , **Hunyuan-1.8B-Instruct** , **Hunyuan-4B-Pretrain** , **Hunyuan-4B-Instruct** , **Hunyuan-7B-Pretrain** ,**Hunyuan-7B-Instruct** on Hugging Face.
|
51 |
<br>
|
52 |
|
|
|
53 |
## Benchmark
|
54 |
|
55 |
Note: The following benchmarks are evaluated by TRT-LLM-backend on several **base models**.
|