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update to 2.2.0 (#1496)
* update to 2.2.0 * Update README.md * Update version.py
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README.md

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</p>
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## Latest News
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* 03/24/2025 2.1.1-dev: New `Qwen 2.5 VL` model support. New `samples` log column during quantization to track module activation in MoE models. `Loss` log column now color-coded to highlight modules that are friendly/resistant to quantization. Progress (per-step) stats during quantization now streamed to log file. Auto `bfloat16` dtype loading for models based on model config. Fix kernel compile for Pytorch/ROCm. Slightly faster quantization and auto-resolve some low-level oom issues for smaller vram gpus.
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* 04/2/2025 [2.2.0](https://github.com/ModelCloud/GPTQModel/releases/tag/v2.2.0): New `Qwen 2.5 VL` model support. New `samples` log column during quantization to track module activation in MoE models. `Loss` log column now color-coded to highlight modules that are friendly/resistant to quantization. Progress (per-step) stats during quantization now streamed to log file. Auto `bfloat16` dtype loading for models based on model config. Fix kernel compile for Pytorch/ROCm. Slightly faster quantization and auto-resolve some low-level oom issues for smaller vram gpus.
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* 03/12/2025 [2.1.0](https://github.com/ModelCloud/GPTQModel/releases/tag/v2.1.0): ✨ New `QQQ` quantization method and inference support!
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New Google `Gemma 3` zero-day model support.
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New Alibaba `Ovis 2` VL model support.

gptqmodel/version.py

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# See the License for the specific language governing permissions and
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# limitations under the License.
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__version__ = "2.1.1-dev"
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__version__ = "2.2.0"

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