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docs: fix Qwen typo #2136

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Jul 28, 2024
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docs: fix Qwen typo #2136

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12ae107
Update README.md
ArtificialZeng Jul 25, 2024
3ba4f8c
Update README_zh-CN.md
ArtificialZeng Jul 27, 2024
0585c00
Update supported_models.md
ArtificialZeng Jul 27, 2024
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Update supported_models.md
ArtificialZeng Jul 27, 2024
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10 changes: 5 additions & 5 deletions README.md
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Expand Up @@ -115,10 +115,10 @@ For detailed inference benchmarks in more devices and more settings, please refe
<li>InternLM (7B - 20B)</li>
<li>InternLM2 (7B - 20B)</li>
<li>InternLM2.5 (7B)</li>
<li>QWen (1.8B - 72B)</li>
<li>QWen1.5 (0.5B - 110B)</li>
<li>QWen1.5 - MoE (0.5B - 72B)</li>
<li>QWen2 (0.5B - 72B)</li>
<li>Qwen (1.8B - 72B)</li>
<li>Qwen1.5 (0.5B - 110B)</li>
<li>Qwen1.5 - MoE (0.5B - 72B)</li>
<li>Qwen2 (0.5B - 72B)</li>
<li>Baichuan (7B)</li>
<li>Baichuan2 (7B-13B)</li>
<li>Code Llama (7B - 34B)</li>
Expand All @@ -142,7 +142,7 @@ For detailed inference benchmarks in more devices and more settings, please refe
<li>LLaVA(1.5,1.6) (7B-34B)</li>
<li>InternLM-XComposer2 (7B, 4khd-7B)</li>
<li>InternLM-XComposer2.5 (7B)</li>
<li>QWen-VL (7B)</li>
<li>Qwen-VL (7B)</li>
<li>DeepSeek-VL (7B)</li>
<li>InternVL-Chat (v1.1-v1.5)</li>
<li>InternVL2 (1B-40B)</li>
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10 changes: 5 additions & 5 deletions README_zh-CN.md
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Expand Up @@ -116,10 +116,10 @@ LMDeploy TurboMind 引擎拥有卓越的推理能力，在各种规模的模型
<li>InternLM (7B - 20B)</li>
<li>InternLM2 (7B - 20B)</li>
<li>InternLM2.5 (7B)</li>
<li>QWen (1.8B - 72B)</li>
<li>QWen1.5 (0.5B - 110B)</li>
<li>QWen1.5 - MoE (0.5B - 72B)</li>
<li>QWen2 (0.5B - 72B)</li>
<li>Qwen (1.8B - 72B)</li>
<li>Qwen1.5 (0.5B - 110B)</li>
<li>Qwen1.5 - MoE (0.5B - 72B)</li>
<li>Qwen2 (0.5B - 72B)</li>
<li>Baichuan (7B)</li>
<li>Baichuan2 (7B-13B)</li>
<li>Code Llama (7B - 34B)</li>
Expand All @@ -143,7 +143,7 @@ LMDeploy TurboMind 引擎拥有卓越的推理能力，在各种规模的模型
<li>LLaVA(1.5,1.6) (7B-34B)</li>
<li>InternLM-XComposer2 (7B, 4khd-7B)</li>
<li>InternLM-XComposer2.5 (7B)</li>
<li>QWen-VL (7B)</li>
<li>Qwen-VL (7B)</li>
<li>DeepSeek-VL (7B)</li>
<li>InternVL-Chat (v1.1-v1.5)</li>
<li>InternVL2 (1B-40B)</li>
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18 changes: 9 additions & 9 deletions docs/en/supported_models/supported_models.md
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Expand Up @@ -14,11 +14,11 @@
| InternLM-XComposer | 7B | Yes | Yes | Yes | Yes |
| InternLM-XComposer2 | 7B, 4khd-7B | Yes | Yes | Yes | Yes |
| InternLM-XComposer2.5 | 7B | Yes | Yes | Yes | Yes |
| QWen | 1.8B - 72B | Yes | Yes | Yes | Yes |
| QWen1.5 | 1.8B - 110B | Yes | Yes | Yes | Yes |
| QWen2 | 1.5B - 72B | Yes | Yes | Yes | Yes |
| Qwen | 1.8B - 72B | Yes | Yes | Yes | Yes |
| Qwen1.5 | 1.8B - 110B | Yes | Yes | Yes | Yes |
| Qwen2 | 1.5B - 72B | Yes | Yes | Yes | Yes |
| Mistral | 7B | Yes | Yes | Yes | No |
| QWen-VL | 7B | Yes | Yes | Yes | Yes |
| Qwen-VL | 7B | Yes | Yes | Yes | Yes |
| DeepSeek-VL | 7B | Yes | Yes | Yes | Yes |
| Baichuan | 7B | Yes | Yes | Yes | Yes |
| Baichuan2 | 7B | Yes | Yes | Yes | Yes |
Expand All @@ -35,7 +35,7 @@
"-" means not verified yet.

```{note}
The TurboMind engine doesn't support window attention. Therefore, for models that have applied window attention and have the corresponding switch "use_sliding_window" enabled, such as Mistral, QWen1.5 and etc., please choose the PyTorch engine for inference.
The TurboMind engine doesn't support window attention. Therefore, for models that have applied window attention and have the corresponding switch "use_sliding_window" enabled, such as Mistral, Qwen1.5 and etc., please choose the PyTorch engine for inference.
```

## Models supported by PyTorch
Expand All @@ -55,10 +55,10 @@ The TurboMind engine doesn't support window attention. Therefore, for models tha
| YI | 6B - 34B | Yes | No | No |
| Mistral | 7B | Yes | No | No |
| Mixtral | 8x7B | Yes | No | No |
| QWen | 1.8B - 72B | Yes | No | No |
| QWen1.5 | 0.5B - 110B | Yes | No | No |
| QWen1.5-MoE | A2.7B | Yes | No | No |
| QWen2 | 0.5B - 72B | Yes | No | No |
| Qwen | 1.8B - 72B | Yes | No | No |
| Qwen1.5 | 0.5B - 110B | Yes | No | No |
| Qwen1.5-MoE | A2.7B | Yes | No | No |
| Qwen2 | 0.5B - 72B | Yes | No | No |
| DeepSeek-MoE | 16B | Yes | No | No |
| DeepSeek-V2 | 16B, 236B | Yes | No | No |
| Gemma | 2B-7B | Yes | No | No |
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18 changes: 9 additions & 9 deletions docs/zh_cn/supported_models/supported_models.md
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Expand Up @@ -14,11 +14,11 @@
| InternLM-XComposer | 7B | Yes | Yes | Yes | Yes |
| InternLM-XComposer2 | 7B, 4khd-7B | Yes | Yes | Yes | Yes |
| InternLM-XComposer2.5 | 7B | Yes | Yes | Yes | Yes |
| QWen | 1.8B - 72B | Yes | Yes | Yes | Yes |
| QWen1.5 | 1.8B - 110B | Yes | Yes | Yes | Yes |
| QWen2 | 1.5B - 72B | Yes | Yes | Yes | Yes |
| Qwen | 1.8B - 72B | Yes | Yes | Yes | Yes |
| Qwen1.5 | 1.8B - 110B | Yes | Yes | Yes | Yes |
| Qwen2 | 1.5B - 72B | Yes | Yes | Yes | Yes |
| Mistral | 7B | Yes | Yes | Yes | No |
| QWen-VL | 7B | Yes | Yes | Yes | Yes |
| Qwen-VL | 7B | Yes | Yes | Yes | Yes |
| DeepSeek-VL | 7B | Yes | Yes | Yes | Yes |
| Baichuan | 7B | Yes | Yes | Yes | Yes |
| Baichuan2 | 7B | Yes | Yes | Yes | Yes |
Expand All @@ -35,7 +35,7 @@
“-” 表示还没有验证。

```{note}
turbomind 引擎不支持 window attention。所以，对于应用了 window attention，并开启了对应的开关"use_sliding_window"的模型，比如 Mistral、QWen1.5 等，在推理时，请选择 pytorch engine
turbomind 引擎不支持 window attention。所以，对于应用了 window attention，并开启了对应的开关"use_sliding_window"的模型，比如 Mistral、Qwen1.5 等，在推理时，请选择 pytorch engine
```

### PyTorch 支持的模型
Expand All @@ -55,10 +55,10 @@ turbomind 引擎不支持 window attention。所以，对于应用了 window att
| YI | 6B - 34B | Yes | No | No |
| Mistral | 7B | Yes | No | No |
| Mixtral | 8x7B | Yes | No | No |
| QWen | 1.8B - 72B | Yes | No | No |
| QWen1.5 | 0.5B - 110B | Yes | No | No |
| QWen2 | 0.5B - 72B | Yes | No | No |
| QWen1.5-MoE | A2.7B | Yes | No | No |
| Qwen | 1.8B - 72B | Yes | No | No |
| Qwen1.5 | 0.5B - 110B | Yes | No | No |
| Qwen2 | 0.5B - 72B | Yes | No | No |
| Qwen1.5-MoE | A2.7B | Yes | No | No |
| DeepSeek-MoE | 16B | Yes | No | No |
| DeepSeek-V2 | 16B, 236B | Yes | No | No |
| Gemma | 2B-7B | Yes | No | No |
Expand Down
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