Update DeepSeek V3 Doc (#3541)

benchmark/deepseek_v3/README.md

@@ -167,6 +167,27 @@ python3 benchmark/gsm8k/bench_sglang.py --num-questions 1319 --host http://10.0.
 python3 -m sglang.bench_one_batch_server --model None --base-url http://10.0.0.1:30000 --batch-size 1 --input-len 128 --output-len 128
 ```
 
+#### Troubleshooting
+
+If you see the following error:
+
+```bash
+ValueError: Weight output_partition_size = 576 is not divisible by weight quantization block_n = 128.
+```
+
+edit your `config.json` and remove the `quantization_config` block. For example:
+
+```json
+"quantization_config": {
+    "activation_scheme": "dynamic",
+    "fmt": "e4m3",
+    "quant_method": "fp8",
+    "weight_block_size": [128, 128]
+},
+```
+
+Removing this block typically resolves the error. For more details, see the discussion in [sgl-project/sglang#3491](https://github.com/sgl-project/sglang/issues/3491#issuecomment-2650779851).
+
 ## DeepSeek V3 Optimization Plan
 
 https://github.com/sgl-project/sglang/issues/2591

docs/references/deepseek.md

@@ -20,6 +20,8 @@ Please refer to [the example](https://github.com/sgl-project/sglang/tree/main/be
 
 - [Serving with two H200*8 nodes and docker](https://github.com/sgl-project/sglang/tree/main/benchmark/deepseek_v3#example-serving-with-two-h2008-nodes-and-docker).
 
+- [Serving with four A100*8 nodes](https://github.com/sgl-project/sglang/tree/main/benchmark/deepseek_v3#example-serving-with-four-a1008-nodes).
+
 ## Optimizations
 
 ### Multi-head Latent Attention (MLA) Throughput Optimizations