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Add an example of using deepseekv3 int8 sglang. (#4177)

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Co-authored-by: zhaochenyang20 <zhaochen20@outlook.com>
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lukec
2025-03-07 17:56:09 +08:00
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parent 7e3bb52705
commit ffa1b3e318
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20
benchmark/deepseek_v3/README.md
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@@ -184,6 +184,26 @@ AWQ does not support BF16, so add the `--dtype half` flag if AWQ is used for qua
python3 -m sglang.launch_server --model cognitivecomputations/DeepSeek-R1-AWQ --tp 8 --trust-remote-code --dtype half python3 -m sglang.launch_server --model cognitivecomputations/DeepSeek-R1-AWQ --tp 8 --trust-remote-code --dtype half
``` ```
### Example: Serving with 16 A100/A800 with int8 Quantization
There are block-wise and per-channel quantization methods, and the quantization parameters have already been uploaded to Huggingface. One example is as follows:
- [meituan/DeepSeek-R1-Block-INT8](https://huggingface.co/meituan/DeepSeek-R1-Block-INT8)
- [meituan/DeepSeek-R1-Channel-INT8](https://huggingface.co/meituan/DeepSeek-R1-Channel-INT8)
```bash
#master
python3 -m sglang.launch_server \
--model meituan/DeepSeek-R1-Block-INT8 --tp 16 --dist-init-addr \
HEAD_IP:5000 --nnodes 2 --node-rank 0 --trust-remote --enable-torch-compile --torch-compile-max-bs 8
#cluster
python3 -m sglang.launch_server \
--model meituan/DeepSeek-R1-Block-INT8 --tp 16 --dist-init-addr \
HEAD_IP:5000 --nnodes 2 --node-rank 1 --trust-remote --enable-torch-compile --torch-compile-max-bs 8
```
### Example: Serving on any cloud or Kubernetes with SkyPilot ### Example: Serving on any cloud or Kubernetes with SkyPilot
SkyPilot helps find cheapest available GPUs across any cloud or existing Kubernetes clusters and launch distributed serving with a single command. See details [here](https://github.com/skypilot-org/skypilot/tree/master/llm/deepseek-r1). SkyPilot helps find cheapest available GPUs across any cloud or existing Kubernetes clusters and launch distributed serving with a single command. See details [here](https://github.com/skypilot-org/skypilot/tree/master/llm/deepseek-r1).

2
docs/references/deepseek.md
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@@ -17,6 +17,7 @@ SGLang is recognized as one of the top engines for [DeepSeek model inference](ht
| | 4 x 8 x A100/A800 | | | 4 x 8 x A100/A800 |
| **Quantized weights (AWQ)** | 8 x H100/800/20 | | **Quantized weights (AWQ)** | 8 x H100/800/20 |
| | 8 x A100/A800 | | | 8 x A100/A800 |
| **Quantized weights (int8)** | 16 x A100/800 |
<style> <style>
.md-typeset__table { .md-typeset__table {
@@ -54,6 +55,7 @@ Detailed commands for reference:
- [2 x 8 x H200](https://github.com/sgl-project/sglang/tree/main/benchmark/deepseek_v3#example-serving-with-two-h208-nodes) - [2 x 8 x H200](https://github.com/sgl-project/sglang/tree/main/benchmark/deepseek_v3#example-serving-with-two-h208-nodes)
- [4 x 8 x A100](https://github.com/sgl-project/sglang/tree/main/benchmark/deepseek_v3#example-serving-with-four-a1008-nodes) - [4 x 8 x A100](https://github.com/sgl-project/sglang/tree/main/benchmark/deepseek_v3#example-serving-with-four-a1008-nodes)
- [8 x A100 (AWQ)](https://github.com/sgl-project/sglang/tree/main/benchmark/deepseek_v3#example-serving-with-8-a100a800-with-awq-quantization) - [8 x A100 (AWQ)](https://github.com/sgl-project/sglang/tree/main/benchmark/deepseek_v3#example-serving-with-8-a100a800-with-awq-quantization)
- [16 x A100 (int8)](https://github.com/sgl-project/sglang/tree/modify-doc/benchmark/deepseek_v3#example-serving-with-16-a100a800-with-int8-quantization)
### Download Weights ### Download Weights