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Merge pull request #375 from Ph0rk0z/patch-1

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experimental: native exllamav3 TP, no fuss
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Brian 2025-08-17 22:37:25 -04:00 • committed by GitHub
commit 05791a25a1
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5 changed files with 78 additions and 46 deletions
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18
backends/exllamav3/model.py
View file

@ -25,6 +25,7 @@ from loguru import logger
from backends.base_model_container import BaseModelContainer
from backends.exllamav3.sampler import ExllamaV3SamplerBuilder
from backends.exllamav3.utils import exllama_supports_nccl
from backends.exllamav3.vision import clear_image_embedding_cache
from common.concurrency import iterate_in_threadpool
from common.gen_logging import (
@ -78,6 +79,7 @@ class ExllamaV3Container(BaseModelContainer):
gpu_split_auto: bool = True
autosplit_reserve: Optional[List[float]] = [96 / 1024]
use_tp: bool = False
tp_backend: str = "native"
max_seq_len: int = 4096
cache_size: int = 4096
cache_mode: str = "FP16"
@ -163,13 +165,25 @@ class ExllamaV3Container(BaseModelContainer):
gpu_split_auto = unwrap(kwargs.get("gpu_split_auto"), True)
gpu_split = unwrap(kwargs.get("gpu_split"), None)
gpu_device_list = list(range(0, gpu_count))
use_tp = unwrap(kwargs.get("tensor_parallel"), False)
# Set GPU split options
if gpu_count == 1:
self.gpu_split_auto = False
logger.info("Disabling GPU split because one GPU is in use.")
else:
# TODO: Set tensor parallel
# Set tensor parallel
if use_tp:
self.use_tp = True
tp_backend = unwrap(kwargs.get("tensor_parallel_backend"), "native")
if not exllama_supports_nccl():
tp_backend = "native"
self.tp_backend = tp_backend
# TP has its own autosplit loader
self.gpu_split_auto = False
# Set GPU split options
# Enable manual GPU split if provided
@ -451,6 +465,8 @@ class ExllamaV3Container(BaseModelContainer):
yield value
for value in self.model.load_gen(
tensor_p=self.use_tp,
tp_backend=self.tp_backend,
reserve_per_device=self.autosplit_reserve,
use_per_device=self.gpu_split,
callback=progress_callback,

11
common/config_models.py
View file

@ -183,11 +183,20 @@ class ModelConfig(BaseConfigModel):
tensor_parallel: Optional[bool] = Field(
False,
description=(
"Load model with tensor parallelism.\n"
"Load model with tensor parallelism (default: False).\n"
"Falls back to autosplit if GPU split isn't provided.\n"
"This ignores the gpu_split_auto value."
),
)
tensor_parallel_backend: Optional[str] = Field(
"native",
description=(
"Sets a backend type for tensor parallelism. (default: native).\n"
"Options: native, nccl\n"
"Native is recommended for PCIe GPUs\n"
"NCCL is recommended for NVLink."
),
)
gpu_split_auto: Optional[bool] = Field(
True,
description=(

6
config_sample.yml
View file

@ -87,6 +87,12 @@ model:
# This ignores the gpu_split_auto value.
tensor_parallel: false
# Sets a backend type for tensor parallelism. (default: native).
# Options: native, nccl
# Native is recommended for PCIe GPUs
# NCCL is recommended for NVLink.
tensor_parallel_backend: native
# Automatically allocate resources to GPUs (default: True).
# Not parsed for single GPU users.
gpu_split_auto: true

1
endpoints/core/types/model.py
View file

@ -90,6 +90,7 @@ class ModelLoadRequest(BaseModel):
examples=[4096],
)
tensor_parallel: Optional[bool] = None
tensor_parallel_backend: Optional[str] = "native"
gpu_split_auto: Optional[bool] = None
autosplit_reserve: Optional[List[float]] = None
gpu_split: Optional[List[float]] = Field(

88
pyproject.toml
View file

@ -58,65 +58,65 @@ dev = [
]
cu121 = [
# Torch (Extra index URLs not support in pyproject.toml)
"torch @ https://download.pytorch.org/whl/cu128/torch-2.7.0%2Bcu128-cp313-cp313-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.13'",
"torch @ https://download.pytorch.org/whl/cu128/torch-2.7.0%2Bcu128-cp312-cp312-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.12'",
"torch @ https://download.pytorch.org/whl/cu128/torch-2.7.0%2Bcu128-cp311-cp311-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.11'",
"torch @ https://download.pytorch.org/whl/cu128/torch-2.7.0%2Bcu128-cp310-cp310-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.10'",
"torch @ https://download.pytorch.org/whl/cu128/torch-2.7.0%2Bcu128-cp313-cp313-manylinux_2_28_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.13'",
"torch @ https://download.pytorch.org/whl/cu128/torch-2.7.0%2Bcu128-cp312-cp312-manylinux_2_28_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.12'",
"torch @ https://download.pytorch.org/whl/cu128/torch-2.7.0%2Bcu128-cp311-cp311-manylinux_2_28_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.11'",
"torch @ https://download.pytorch.org/whl/cu128/torch-2.7.0%2Bcu128-cp310-cp310-manylinux_2_28_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.10'",
"torch @ https://download.pytorch.org/whl/cu128/torch-2.8.0%2Bcu128-cp313-cp313-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.13'",
"torch @ https://download.pytorch.org/whl/cu128/torch-2.8.0%2Bcu128-cp312-cp312-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.12'",
"torch @ https://download.pytorch.org/whl/cu128/torch-2.8.0%2Bcu128-cp311-cp311-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.11'",
"torch @ https://download.pytorch.org/whl/cu128/torch-2.8.0%2Bcu128-cp310-cp310-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.10'",
"torch @ https://download.pytorch.org/whl/cu128/torch-2.8.0%2Bcu128-cp313-cp313-manylinux_2_28_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.13'",
"torch @ https://download.pytorch.org/whl/cu128/torch-2.8.0%2Bcu128-cp312-cp312-manylinux_2_28_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.12'",
"torch @ https://download.pytorch.org/whl/cu128/torch-2.8.0%2Bcu128-cp311-cp311-manylinux_2_28_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.11'",
"torch @ https://download.pytorch.org/whl/cu128/torch-2.8.0%2Bcu128-cp310-cp310-manylinux_2_28_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.10'",
# Exl2
"exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+cu128.torch2.7.0-cp313-cp313-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.13'",
"exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+cu128.torch2.7.0-cp312-cp312-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.12'",
"exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+cu128.torch2.7.0-cp311-cp311-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.11'",
"exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+cu128.torch2.7.0-cp310-cp310-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.10'",
"exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+cu128.torch2.7.0-cp313-cp313-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.13'",
"exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+cu128.torch2.7.0-cp312-cp312-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.12'",
"exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+cu128.torch2.7.0-cp311-cp311-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.11'",
"exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+cu128.torch2.7.0-cp310-cp310-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.10'",
"exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+cu128.torch2.8.0-cp313-cp313-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.13'",
"exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+cu128.torch2.8.0-cp312-cp312-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.12'",
"exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+cu128.torch2.8.0-cp311-cp311-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.11'",
"exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+cu128.torch2.8.0-cp310-cp310-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.10'",
"exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+cu128.torch2.8.0-cp313-cp313-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.13'",
"exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+cu128.torch2.8.0-cp312-cp312-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.12'",
"exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+cu128.torch2.8.0-cp311-cp311-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.11'",
"exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+cu128.torch2.8.0-cp310-cp310-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.10'",
# Exl3
"exllamav3 @ https://github.com/turboderp-org/exllamav3/releases/download/v0.0.5/exllamav3-0.0.5+cu128.torch2.7.0-cp313-cp313-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.13'",
"exllamav3 @ https://github.com/turboderp-org/exllamav3/releases/download/v0.0.5/exllamav3-0.0.5+cu128.torch2.7.0-cp312-cp312-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.12'",
"exllamav3 @ https://github.com/turboderp-org/exllamav3/releases/download/v0.0.5/exllamav3-0.0.5+cu128.torch2.7.0-cp311-cp311-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.11'",
"exllamav3 @ https://github.com/turboderp-org/exllamav3/releases/download/v0.0.5/exllamav3-0.0.5+cu128.torch2.7.0-cp310-cp310-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.10'",
"exllamav3 @ https://github.com/turboderp-org/exllamav3/releases/download/v0.0.5/exllamav3-0.0.5+cu128.torch2.7.0-cp313-cp313-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.13'",
"exllamav3 @ https://github.com/turboderp-org/exllamav3/releases/download/v0.0.5/exllamav3-0.0.5+cu128.torch2.7.0-cp312-cp312-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.12'",
"exllamav3 @ https://github.com/turboderp-org/exllamav3/releases/download/v0.0.5/exllamav3-0.0.5+cu128.torch2.7.0-cp311-cp311-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.11'",
"exllamav3 @ https://github.com/turboderp-org/exllamav3/releases/download/v0.0.5/exllamav3-0.0.5+cu128.torch2.7.0-cp310-cp310-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.10'",
"exllamav3 @ https://github.com/turboderp-org/exllamav3/releases/download/v0.0.6/exllamav3-0.0.6+cu128.torch2.8.0-cp313-cp313-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.13'",
"exllamav3 @ https://github.com/turboderp-org/exllamav3/releases/download/v0.0.6/exllamav3-0.0.6+cu128.torch2.8.0-cp312-cp312-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.12'",
"exllamav3 @ https://github.com/turboderp-org/exllamav3/releases/download/v0.0.6/exllamav3-0.0.6+cu128.torch2.8.0-cp311-cp311-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.11'",
"exllamav3 @ https://github.com/turboderp-org/exllamav3/releases/download/v0.0.6/exllamav3-0.0.6+cu128.torch2.8.0-cp310-cp310-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.10'",
"exllamav3 @ https://github.com/turboderp-org/exllamav3/releases/download/v0.0.6/exllamav3-0.0.6+cu128.torch2.8.0-cp313-cp313-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.13'",
"exllamav3 @ https://github.com/turboderp-org/exllamav3/releases/download/v0.0.6/exllamav3-0.0.6+cu128.torch2.8.0-cp312-cp312-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.12'",
"exllamav3 @ https://github.com/turboderp-org/exllamav3/releases/download/v0.0.6/exllamav3-0.0.6+cu128.torch2.8.0-cp311-cp311-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.11'",
"exllamav3 @ https://github.com/turboderp-org/exllamav3/releases/download/v0.0.6/exllamav3-0.0.6+cu128.torch2.8.0-cp310-cp310-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.10'",
# Windows FA2 from https://github.com/kingbri1/flash-attention/releases
"flash_attn @ https://github.com/kingbri1/flash-attention/releases/download/v2.7.4.post1/flash_attn-2.7.4.post1+cu128torch2.7.0cxx11abiFALSE-cp313-cp313-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.13'",
"flash_attn @ https://github.com/kingbri1/flash-attention/releases/download/v2.7.4.post1/flash_attn-2.7.4.post1+cu128torch2.7.0cxx11abiFALSE-cp312-cp312-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.12'",
"flash_attn @ https://github.com/kingbri1/flash-attention/releases/download/v2.7.4.post1/flash_attn-2.7.4.post1+cu128torch2.7.0cxx11abiFALSE-cp311-cp311-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.11'",
"flash_attn @ https://github.com/kingbri1/flash-attention/releases/download/v2.7.4.post1/flash_attn-2.7.4.post1+cu128torch2.7.0cxx11abiFALSE-cp310-cp310-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.10'",
"flash_attn @ https://github.com/kingbri1/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu128torch2.8.0cxx11abiFALSE-cp313-cp313-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.13'",
"flash_attn @ https://github.com/kingbri1/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu128torch2.8.0cxx11abiFALSE-cp312-cp312-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.12'",
"flash_attn @ https://github.com/kingbri1/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu128torch2.8.0cxx11abiFALSE-cp311-cp311-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.11'",
"flash_attn @ https://github.com/kingbri1/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu128torch2.8.0cxx11abiFALSE-cp310-cp310-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.10'",
# Linux FA2 from https://github.com/kingbri1/flash-attention/releases
"flash_attn @ https://github.com/kingbri1/flash-attention/releases/download/v2.7.4.post1/flash_attn-2.7.4.post1+cu128torch2.7.0cxx11abiFALSE-cp313-cp313-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.13'",
"flash_attn @ https://github.com/kingbri1/flash-attention/releases/download/v2.7.4.post1/flash_attn-2.7.4.post1+cu128torch2.7.0cxx11abiFALSE-cp312-cp312-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.12'",
"flash_attn @ https://github.com/kingbri1/flash-attention/releases/download/v2.7.4.post1/flash_attn-2.7.4.post1+cu128torch2.7.0cxx11abiFALSE-cp311-cp311-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.11'",
"flash_attn @ https://github.com/kingbri1/flash-attention/releases/download/v2.7.4.post1/flash_attn-2.7.4.post1+cu128torch2.7.0cxx11abiFALSE-cp310-cp310-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.10'",
"flash_attn @ https://github.com/Dao-AILab/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu12torch2.8cxx11abiFALSE-cp313-cp313-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.13'",
"flash_attn @ https://github.com/Dao-AILab/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu12torch2.8cxx11abiFALSE-cp312-cp312-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.12'",
"flash_attn @ https://github.com/Dao-AILab/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu12torch2.8cxx11abiFALSE-cp311-cp311-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.11'",
"flash_attn @ https://github.com/Dao-AILab/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu12torch2.8cxx11abiFALSE-cp310-cp310-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.10'",
]
amd = [
# Torch triton for ROCm
"pytorch_triton_rocm @ https://download.pytorch.org/whl/pytorch_triton_rocm-3.3.0-cp313-cp313-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.13'",
"pytorch_triton_rocm @ https://download.pytorch.org/whl/pytorch_triton_rocm-3.3.0-cp312-cp312-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.12'",
"pytorch_triton_rocm @ https://download.pytorch.org/whl/pytorch_triton_rocm-3.3.0-cp311-cp311-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.11'",
"pytorch_triton_rocm @ https://download.pytorch.org/whl/pytorch_triton_rocm-3.3.0-cp310-cp310-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.10'",
"pytorch_triton_rocm @ https://download.pytorch.org/whl/pytorch_triton_rocm-3.4.0-cp313-cp313-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.13'",
"pytorch_triton_rocm @ https://download.pytorch.org/whl/pytorch_triton_rocm-3.4.0-cp312-cp312-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.12'",
"pytorch_triton_rocm @ https://download.pytorch.org/whl/pytorch_triton_rocm-3.4.0-cp311-cp311-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.11'",
"pytorch_triton_rocm @ https://download.pytorch.org/whl/pytorch_triton_rocm-3.4.0-cp310-cp310-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.10'",
# Torch
"torch @ https://download.pytorch.org/whl/rocm6.3/torch-2.7.0%2Brocm6.3-cp313-cp313-manylinux_2_28_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.13'",
"torch @ https://download.pytorch.org/whl/rocm6.3/torch-2.7.0%2Brocm6.3-cp312-cp312-manylinux_2_28_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.12'",
"torch @ https://download.pytorch.org/whl/rocm6.3/torch-2.7.0%2Brocm6.3-cp311-cp311-manylinux_2_28_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.11'",
"torch @ https://download.pytorch.org/whl/rocm6.3/torch-2.7.0%2Brocm6.3-cp310-cp310-manylinux_2_28_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.10'",
"torch @ https://download.pytorch.org/whl/rocm6.4/torch-2.8.0%2Brocm6.4-cp313-cp313-manylinux_2_28_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.13'",
"torch @ https://download.pytorch.org/whl/rocm6.4/torch-2.8.0%2Brocm6.4-cp312-cp312-manylinux_2_28_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.12'",
"torch @ https://download.pytorch.org/whl/rocm6.4/torch-2.8.0%2Brocm6.4-cp311-cp311-manylinux_2_28_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.11'",
"torch @ https://download.pytorch.org/whl/rocm6.4/torch-2.8.0%2Brocm6.4-cp310-cp310-manylinux_2_28_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.10'",
# Exl2
"exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+rocm6.3.torch2.7.0-cp313-cp313-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.13'",
"exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+rocm6.3.torch2.7.0-cp312-cp312-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.12'",
"exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+rocm6.3.torch2.7.0-cp311-cp311-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.11'",
"exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+rocm6.3.torch2.7.0-cp310-cp310-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.10'",
"exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+rocm6.4.torch2.8.0-cp313-cp313-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.13'",
"exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+rocm6.4.torch2.8.0-cp312-cp312-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.12'",
"exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+rocm6.4.torch2.8.0-cp311-cp311-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.11'",
"exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+rocm6.4.torch2.8.0-cp310-cp310-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.10'",
]
# MARK: Ruff options