huggingface/text-generation-inference
5
0
Fork 0
mirror of https://github.com/huggingface/text-generation-inference.git synced 2025-04-20 22:32:07 +00:00
Code Issues Packages Projects Releases Wiki Activity

fix: remove unused deps and imports

Browse Source
This commit is contained in:
David Holtz 2024-11-18 21:48:09 +00:00 committed by drbh
parent 83a7f185e8
commit 322165d767
5 changed files with 11 additions and 13 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

1
docs/source/reference/launcher.md
View File

@ -63,6 +63,7 @@ Options:
Possible values: Possible values:
- awq: 4 bit quantization. Requires a specific AWQ quantized model: <https://hf.co/models?search=awq>. Should replace GPTQ models wherever possible because of the better latency - awq: 4 bit quantization. Requires a specific AWQ quantized model: <https://hf.co/models?search=awq>. Should replace GPTQ models wherever possible because of the better latency
- compressed-tensors: Compressed tensors, which can be a mixture of different quantization methods
- eetq: 8 bit quantization, doesn't require specific model. Should be a drop-in replacement to bitsandbytes with much better performance. Kernels are from <https://github.com/NetEase-FuXi/EETQ.git> - eetq: 8 bit quantization, doesn't require specific model. Should be a drop-in replacement to bitsandbytes with much better performance. Kernels are from <https://github.com/NetEase-FuXi/EETQ.git>
- exl2: Variable bit quantization. Requires a specific EXL2 quantized model: <https://hf.co/models?search=exl2>. Requires exllama2 kernels and does not support tensor parallelism (num_shard > 1) - exl2: Variable bit quantization. Requires a specific EXL2 quantized model: <https://hf.co/models?search=exl2>. Requires exllama2 kernels and does not support tensor parallelism (num_shard > 1)
- gptq: 4 bit quantization. Requires a specific GTPQ quantized model: <https://hf.co/models?search=gptq>. text-generation-inference will use exllama (faster) kernels wherever possible, and use triton kernel (wider support) when it's not. AWQ has faster kernels - gptq: 4 bit quantization. Requires a specific GTPQ quantized model: <https://hf.co/models?search=gptq>. text-generation-inference will use exllama (faster) kernels wherever possible, and use triton kernel (wider support) when it's not. AWQ has faster kernels

1
server/requirements_cuda.txt
View File

@ -36,7 +36,6 @@ protobuf==4.25.5 ; python_version >= "3.9" and python_version < "3.13"
py-cpuinfo==9.0.0 ; python_version >= "3.9" and python_version < "3.13" py-cpuinfo==9.0.0 ; python_version >= "3.9" and python_version < "3.13"
pygments==2.18.0 ; python_version >= "3.9" and python_version < "3.13" pygments==2.18.0 ; python_version >= "3.9" and python_version < "3.13"
pyyaml==6.0.2 ; python_version >= "3.9" and python_version < "3.13" pyyaml==6.0.2 ; python_version >= "3.9" and python_version < "3.13"
qwen_vl_utils==0.0.8 ; python_version >= "3.9" and python_version < "3.13"
regex==2024.9.11 ; python_version >= "3.9" and python_version < "3.13" regex==2024.9.11 ; python_version >= "3.9" and python_version < "3.13"
requests==2.32.3 ; python_version >= "3.9" and python_version < "3.13" requests==2.32.3 ; python_version >= "3.9" and python_version < "3.13"
rich==13.9.4 ; python_version >= "3.9" and python_version < "3.13" rich==13.9.4 ; python_version >= "3.9" and python_version < "3.13"

1
server/requirements_intel.txt
View File

@ -36,7 +36,6 @@ protobuf==4.25.5 ; python_version >= "3.9" and python_version < "3.13"
py-cpuinfo==9.0.0 ; python_version >= "3.9" and python_version < "3.13" py-cpuinfo==9.0.0 ; python_version >= "3.9" and python_version < "3.13"
pygments==2.18.0 ; python_version >= "3.9" and python_version < "3.13" pygments==2.18.0 ; python_version >= "3.9" and python_version < "3.13"
pyyaml==6.0.2 ; python_version >= "3.9" and python_version < "3.13" pyyaml==6.0.2 ; python_version >= "3.9" and python_version < "3.13"
qwen_vl_utils==0.0.8 ; python_version >= "3.9" and python_version < "3.13"
regex==2024.9.11 ; python_version >= "3.9" and python_version < "3.13" regex==2024.9.11 ; python_version >= "3.9" and python_version < "3.13"
requests==2.32.3 ; python_version >= "3.9" and python_version < "3.13" requests==2.32.3 ; python_version >= "3.9" and python_version < "3.13"
rich==13.9.4 ; python_version >= "3.9" and python_version < "3.13" rich==13.9.4 ; python_version >= "3.9" and python_version < "3.13"

1
server/requirements_rocm.txt
View File

@ -36,7 +36,6 @@ protobuf==4.25.5 ; python_version >= "3.9" and python_version < "3.13"
py-cpuinfo==9.0.0 ; python_version >= "3.9" and python_version < "3.13" py-cpuinfo==9.0.0 ; python_version >= "3.9" and python_version < "3.13"
pygments==2.18.0 ; python_version >= "3.9" and python_version < "3.13" pygments==2.18.0 ; python_version >= "3.9" and python_version < "3.13"
pyyaml==6.0.2 ; python_version >= "3.9" and python_version < "3.13" pyyaml==6.0.2 ; python_version >= "3.9" and python_version < "3.13"
qwen_vl_utils==0.0.8 ; python_version >= "3.9" and python_version < "3.13"
regex==2024.9.11 ; python_version >= "3.9" and python_version < "3.13" regex==2024.9.11 ; python_version >= "3.9" and python_version < "3.13"
requests==2.32.3 ; python_version >= "3.9" and python_version < "3.13" requests==2.32.3 ; python_version >= "3.9" and python_version < "3.13"
rich==13.9.4 ; python_version >= "3.9" and python_version < "3.13" rich==13.9.4 ; python_version >= "3.9" and python_version < "3.13"

2
server/text_generation_server/models/custom_modeling/qwen2_vl.py
View File

@ -14,7 +14,7 @@
# limitations under the License. # limitations under the License.
"""PyTorch Qwen2 VL model.""" """PyTorch Qwen2 VL model."""
from typing import Dict, Optional, Tuple, List from typing import Optional, Tuple, List
import torch import torch
import torch.utils.checkpoint import torch.utils.checkpoint