EngineX-Hygon/sglang
5
0
Fork 0
Code Issues Pull Requests Actions 7 Projects Releases Wiki Activity

Fix formatting in long code blocks (#10528)

Browse Source
This commit is contained in:
Philip Kiely - Baseten
2025-09-16 12:02:05 -07:00
committed by GitHub
parent 0abb41c70d
commit 7f028b07c4
11 changed files with 345 additions and 50 deletions
Download Patch File Download Diff File Expand all files Collapse all files

68
docs/advanced_features/attention_backend.md
View File

@@ -29,51 +29,93 @@ The "❌" and "✅" symbols in the table above under "Page Size > 1" indicate wh
- FlashInfer (Default for Non-Hopper Machines, e.g., A100, A40)
```bash
python3 -m sglang.launch_server --model meta-llama/Meta-Llama-3.1-8B-Instruct --attention-backend flashinfer
python3 -m sglang.launch_server --tp 8 --model deepseek-ai/DeepSeek-V3 --attention-backend flashinfer --trust-remote-code
python3 -m sglang.launch_server \
--model meta-llama/Meta-Llama-3.1-8B-Instruct \
--attention-backend flashinfer
python3 -m sglang.launch_server \
--tp 8 \
--model deepseek-ai/DeepSeek-V3 \
--attention-backend flashinfer \
--trust-remote-code
```
- FlashAttention 3 (Default for Hopper Machines, e.g., H100, H200, H20)
```bash
python3 -m sglang.launch_server --model meta-llama/Meta-Llama-3.1-8B-Instruct --attention-backend fa3
python3 -m sglang.launch_server --tp 8 --model deepseek-ai/DeepSeek-V3 --trust-remote-code --attention-backend fa3
python3 -m sglang.launch_server \
--model meta-llama/Meta-Llama-3.1-8B-Instruct \
--attention-backend fa3
python3 -m sglang.launch_server \
--tp 8 \
--model deepseek-ai/DeepSeek-V3 \
--trust-remote-code \
--attention-backend fa3
```
- Triton
```bash
python3 -m sglang.launch_server --model meta-llama/Meta-Llama-3.1-8B-Instruct --attention-backend triton
python3 -m sglang.launch_server --tp 8 --model deepseek-ai/DeepSeek-V3 --attention-backend triton --trust-remote-code
python3 -m sglang.launch_server \
--model meta-llama/Meta-Llama-3.1-8B-Instruct \
--attention-backend triton
python3 -m sglang.launch_server \
--tp 8 \
--model deepseek-ai/DeepSeek-V3 \
--attention-backend triton \
--trust-remote-code
```
- Torch Native
```bash
python3 -m sglang.launch_server --model meta-llama/Meta-Llama-3.1-8B-Instruct --attention-backend torch_native
python3 -m sglang.launch_server \
--model meta-llama/Meta-Llama-3.1-8B-Instruct \
--attention-backend torch_native
```
- FlashMLA
```bash
python3 -m sglang.launch_server --tp 8 --model deepseek-ai/DeepSeek-R1 --attention-backend flashmla --trust-remote-code
python3 -m sglang.launch_server --tp 8 --model deepseek-ai/DeepSeek-R1 --attention-backend flashmla --kv-cache-dtype fp8_e4m3 --trust-remote-code
python3 -m sglang.launch_server \
--tp 8 \
--model deepseek-ai/DeepSeek-R1 \
--attention-backend flashmla \
--trust-remote-code
python3 -m sglang.launch_server \
--tp 8 \
--model deepseek-ai/DeepSeek-R1 \
--attention-backend flashmla \
--kv-cache-dtype fp8_e4m3 \
--trust-remote-code
```
- TRTLLM MLA (Optimized for Blackwell Architecture, e.g., B200)
```bash
python3 -m sglang.launch_server --tp 8 --model deepseek-ai/DeepSeek-R1 --attention-backend trtllm_mla --trust-remote-code
python3 -m sglang.launch_server \
--tp 8 \
--model deepseek-ai/DeepSeek-R1 \
--attention-backend trtllm_mla \
--trust-remote-code
```
- TRTLLM MLA with FP8 KV Cache (Higher concurrency, lower memory footprint)
```bash
python3 -m sglang.launch_server --tp 8 --model deepseek-ai/DeepSeek-R1 --attention-backend trtllm_mla --kv-cache-dtype fp8_e4m3 --trust-remote-code
python3 -m sglang.launch_server \
--tp 8 \
--model deepseek-ai/DeepSeek-R1 \
--attention-backend trtllm_mla \
--kv-cache-dtype fp8_e4m3 \
--trust-remote-code
```
- Ascend
```bash
python3 -m sglang.launch_server --model meta-llama/Meta-Llama-3.1-8B-Instruct --attention-backend ascend
python3 -m sglang.launch_server \
--model meta-llama/Meta-Llama-3.1-8B-Instruct \
--attention-backend ascend
```
- Wave
```bash
python3 -m sglang.launch_server --model meta-llama/Meta-Llama-3.1-8B-Instruct --attention-backend wave
python3 -m sglang.launch_server \
--model meta-llama/Meta-Llama-3.1-8B-Instruct \
--attention-backend wave
```
## Steps to add a new attention backend