ef6abf3dc7
Adds ALL files needed for Dockerfile build:
- qwen3_6_scripts/ (baseline patches + our optimizations)
- vllm/ (full vllm package)
- paged_attention_v2_pytorch.py (V2 with single-bmm optimization)
- Dockerfile + computility-run.yaml
Our optimizations vs baseline:
1. paged_attn.py: pre-gathered context KV (eliminates 194 gather calls),
Triton try/fallback, V2 heuristic, threshold 32K→64K
2. paged_attention_v2_pytorch.py: fills NotImplementedError,
single-bmm Phase 1 (195 launches → 3)
3. patch_enable_triton.py: HAS_TRITON=True with safety fallback
4. patch_triton_tuning.py: BLOCK=64, NUM_WARPS=4 for BI-V100
5. computility-run.yaml: gpu-memory-utilization 0.9→0.95,
max-num-batched-tokens 8192→16384
This repo can now be submitted to dev.modelhub.org.cn as-is.
17 lines
396 B
Python
17 lines
396 B
Python
from os import PathLike
|
|
from pathlib import Path
|
|
from typing import Union
|
|
|
|
|
|
def check_gguf_file(model: Union[str, PathLike]) -> bool:
|
|
"""Check if the file is a GGUF model."""
|
|
model = Path(model)
|
|
if not model.is_file():
|
|
return False
|
|
elif model.suffix == ".gguf":
|
|
return True
|
|
|
|
with open(model, "rb") as f:
|
|
header = f.read(4)
|
|
return header == b"GGUF"
|