prepare for 1.5.0 (#958)

* prepare for 1.5.0

* Update version.py

* Update README.md

README.md

@@ -9,6 +9,7 @@
 </p>
 
 ## News
+* 12/23/2024 [1.5.0](https://github.com/ModelCloud/GPTQModel/releases/tag/v1.5.0): Multi-modal (image-to-text) optimized quantization support added for Qwen 2-VL and Ovis 1.6-VL. Previously image-to-text model quantization was not using image calibration data and post-quant result was less than optimal. 1.5.0 is the first release to release a stable path for multi-modal quantization: note only text layers are quantized.  
 * 12/19/2024 [1.4.5](https://github.com/ModelCloud/GPTQModel/releases/tag/v1.4.5): Windows 11 support added/validated. Ovis VL model support with image dataset calibration. Fixed `dynamic` loading. Reduced quantization vram usage. 
 * 12/15/2024 [1.4.2](https://github.com/ModelCloud/GPTQModel/releases/tag/v1.4.2): MacOS `gpu` (Metal) and `cpu` (M+) support added/validated for inference and quantization. Cohere 2 model support added. 
 * 12/13/2024 [1.4.1](https://github.com/ModelCloud/GPTQModel/releases/tag/v1.4.1): Added Qwen2-VL model support. `mse` quantization control exposed in `QuantizeConfig`. Monkey patch `patch_vllm()` and `patch_hf()` api added to allow Transformers/Optimum/PEFT and vLLM to correctly loaded GPTQModel quantized models while upstream PRs are in pending status. 

gptqmodel/version.py

@@ -1 +1 @@
-__version__ = "1.4.6-dev"
+__version__ = "1.5.0"