Update neuralmagic --> vllm-project (#495)

Author: mgoin

.github/workflows/report.yml

@@ -108,7 +108,7 @@ jobs:
                   "hostname": "${{ secrets.REPORTPORTAL_HOST }}",
                   "project": "compressed-tensors",
                   "name": "${{ inputs.run_name }}",
-                  "description": "GitHub run: https://github.com/neuralmagic/compressed-tensors/actions/runs/${{ inputs.run_id }}",
+                  "description": "GitHub run: https://github.com/vllm-project/compressed-tensors/actions/runs/${{ inputs.run_id }}",
                   "attributes": [
                     {"key": "wheel", "value": "${{ inputs.wheel }}"},
                     {"key": "gitref", "value": "${{ inputs.gitref }}"},

README.md

@@ -37,7 +37,7 @@ pip install --pre compressed-tensors
 ### From Source
 
 ```bash
-git clone https://github.com/neuralmagic/compressed-tensors
+git clone https://github.com/vllm-project/compressed-tensors
 cd compressed-tensors
 pip install -e .
 ```
@@ -78,7 +78,7 @@ We can apply bitmask compression to a whole model. For more detailed example see
 from compressed_tensors import save_compressed_model, load_compressed, BitmaskConfig
 from transformers import AutoModelForCausalLM
 
-model_name = "neuralmagic/llama2.c-stories110M-pruned50"
+model_name = "RedHatAI/llama2.c-stories110M-pruned50"
 model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype="auto")
 
 original_state_dict = model.state_dict()
@@ -92,7 +92,7 @@ save_compressed_model(model, "compressed_model.safetensors", compression_format=
 state_dict = dict(load_compressed("compressed_model.safetensors", compression_config))
 ```
 
-For more in-depth tutorial on bitmask compression, refer to the [notebook](https://github.com/neuralmagic/compressed-tensors/blob/d707c5b84bc3fef164aebdcd97cb6eaa571982f8/examples/bitmask_compression.ipynb).
+For more in-depth tutorial on bitmask compression, refer to the [notebook](https://github.com/vllm-project/compressed-tensors/blob/d707c5b84bc3fef164aebdcd97cb6eaa571982f8/examples/bitmask_compression.ipynb).
 
 
 ## Saving a Compressed Model with PTQ

setup.py

@@ -109,7 +109,7 @@ def _setup_extras() -> Dict:
     description="Library for utilization of compressed safetensors of neural network models",
     long_description=_setup_long_description()[0],
     long_description_content_type=_setup_long_description()[1],
-    url="https://github.com/neuralmagic/compressed-tensors",
+    url="https://github.com/vllm-project/compressed-tensors",
     extras_require=_setup_extras(),
     install_requires=_setup_install_requires(),
     package_dir={"": "src"},