fix: remove unused deps and imports
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@ -63,6 +63,7 @@ Options:
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Possible values:
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- 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
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- compressed-tensors: Compressed tensors, which can be a mixture of different quantization methods
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- 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>
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- 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)
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- 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
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@ -36,7 +36,6 @@ protobuf==4.25.5 ; python_version >= "3.9" and python_version < "3.13"
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py-cpuinfo==9.0.0 ; python_version >= "3.9" and python_version < "3.13"
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pygments==2.18.0 ; python_version >= "3.9" and python_version < "3.13"
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pyyaml==6.0.2 ; python_version >= "3.9" and python_version < "3.13"
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qwen_vl_utils==0.0.8 ; python_version >= "3.9" and python_version < "3.13"
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regex==2024.9.11 ; python_version >= "3.9" and python_version < "3.13"
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requests==2.32.3 ; python_version >= "3.9" and python_version < "3.13"
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rich==13.9.3 ; python_version >= "3.9" and python_version < "3.13"
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@ -36,7 +36,6 @@ protobuf==4.25.5 ; python_version >= "3.9" and python_version < "3.13"
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py-cpuinfo==9.0.0 ; python_version >= "3.9" and python_version < "3.13"
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pygments==2.18.0 ; python_version >= "3.9" and python_version < "3.13"
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pyyaml==6.0.2 ; python_version >= "3.9" and python_version < "3.13"
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qwen_vl_utils==0.0.8 ; python_version >= "3.9" and python_version < "3.13"
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regex==2024.9.11 ; python_version >= "3.9" and python_version < "3.13"
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requests==2.32.3 ; python_version >= "3.9" and python_version < "3.13"
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rich==13.9.3 ; python_version >= "3.9" and python_version < "3.13"
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@ -36,7 +36,6 @@ protobuf==4.25.5 ; python_version >= "3.9" and python_version < "3.13"
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py-cpuinfo==9.0.0 ; python_version >= "3.9" and python_version < "3.13"
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pygments==2.18.0 ; python_version >= "3.9" and python_version < "3.13"
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pyyaml==6.0.2 ; python_version >= "3.9" and python_version < "3.13"
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qwen_vl_utils==0.0.8 ; python_version >= "3.9" and python_version < "3.13"
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regex==2024.9.11 ; python_version >= "3.9" and python_version < "3.13"
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requests==2.32.3 ; python_version >= "3.9" and python_version < "3.13"
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rich==13.9.3 ; python_version >= "3.9" and python_version < "3.13"
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@ -14,7 +14,7 @@
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# limitations under the License.
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"""PyTorch Qwen2 VL model."""
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from typing import Dict, Optional, Tuple, List
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from typing import Optional, Tuple, List
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import torch
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import torch.utils.checkpoint
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