sglangv0.5.2 & support Qwen3-Next-80B-A3B-Instruct

benchmark/multi_document_qa/README.md

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+## Run benchmark
+
+### Benchmark sglang
+```
+python3 -m sglang.launch_server --model-path codellama/CodeLlama-7b-instruct-hf --port 30000
+```
+
+```
+python3 bench_sglang.py --num-questions 10 --parallel 1
+```
+
+
+### Benchmark vllm
+```
+python3 -m vllm.entrypoints.api_server --tokenizer-mode auto --model codellama/CodeLlama-7b-instruct-hf  --disable-log-requests --port 21000 --gpu 0.97
+```
+
+```
+python3 bench_other.py --backend vllm --num-questions 64
+```
+
+
+### Benchmark guidance
+```
+python3 bench_other.py --backend guidance --num-questions 32 --parallel 1 --n-ctx 11000 --model-path path/to/code-llama/gguf
+```
+
+
+
+### Build dataset
+
+```
+pip install PyPDF2
+python3 build_dataset.py
+```
+
+```python
+import PyPDF2
+
+with open('llama2.pdf', 'rb') as file:
+    reader = PyPDF2.PdfReader(file)
+    text = ''
+    for page_num in range(len(reader.pages)):
+        text += reader.pages[page_num].extract_text()
+    with open('output.txt', 'w') as text_file:
+        text_file.write(text)
+```