Fix/awq quantized linear device issue #6
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Addresses an AttributeError in AWQ quantization where QuantizedLinear, an nn.Module, was incorrectly passed to move_to_device, which expects a tensor. This change ensures QuantizedLinear modules are moved to the target device using the correct .to(device) method. Additionally, this commit includes updates to the documentation: - Docs for AWQ quantization were updated to include parameters like scale_dtype, enable_mnn_kernel, and batch_size. - Clarified inference procedures for AWQ-quantized models. - README.md was updated to list AWQ as a supported method and the roadmap was revised.
Extends the previous fix for AWQ to GPTQ and GGUF quantizers. Addresses an AttributeError where QuantizedLinear (an nn.Module) was incorrectly passed to `move_to_device`, a function expecting a tensor. This change ensures QuantizedLinear modules are moved to their target device using the correct `.to(device)` method in AWQ, GPTQ, and GGUF quantizers. This commit ensures consistent and correct device handling for quantized layers created by these methods.
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