CI Update AutoAWQ version to fix CI (#2222)

Currently, the CI fails because awq tries to import a non-existing
function from transformers (presumably it was there at one point but no
longer is):

>     from transformers.modeling_utils import shard_checkpoint
> E   ImportError: cannot import name 'shard_checkpoint' from 'transformers.modeling_utils' (/opt/conda/envs/peft/lib/python3.11/site-packages/transformers/modeling_utils.py)

This has been fixed in awq v0.2.7. Therefore, this newer version is now
used in CI.

docker/peft-gpu/Dockerfile

@@ -41,8 +41,8 @@ SHELL ["/bin/bash", "-c"]
 RUN source activate peft && \ 
     python3 -m pip install --no-cache-dir bitsandbytes optimum auto-gptq && \
     # Add autoawq for quantization testing
-    python3 -m pip install --no-cache-dir https://github.com/casper-hansen/AutoAWQ/releases/download/v0.2.6/autoawq-0.2.6-cp311-cp311-linux_x86_64.whl && \
-    python3 -m pip install --no-cache-dir https://github.com/casper-hansen/AutoAWQ_kernels/releases/download/v0.0.8/autoawq_kernels-0.0.8-cp311-cp311-linux_x86_64.whl && \
+    python3 -m pip install --no-cache-dir https://github.com/casper-hansen/AutoAWQ/releases/download/v0.2.7.post2/autoawq-0.2.7.post2-py3-none-any.whl && \
+    python3 -m pip install --no-cache-dir https://github.com/casper-hansen/AutoAWQ_kernels/releases/download/v0.0.9/autoawq_kernels-0.0.9-cp311-cp311-linux_x86_64.whl && \
     # Add eetq for quantization testing
     python3 -m pip install git+https://github.com/NetEase-FuXi/EETQ.git