Comments (1)
GGUF conversion and kernels
- Add gguf conversion scripts using gpt-fast/model.py as source
- Add torch subclass to ao that does the quantization
- Add ggml kernel with the wrapper to make sure it executes in eager but calls the specific kernel
- Reference python implementation
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Related Issues (20)
- Sparsity OSS colab tracker
- [Tracker] WIP Features for torchao v0.2
- 2:4 sparsity + PTQ(int8) model's inference HOT 7
- Custom CUDA extensions
- SDPA: scaled_dot_product_attention to use this attetino donot need to retain ? HOT 3
- [RFC] Plans for sparsity HOT 2
- [RFC] More general affine quantization primitives HOT 1
- Run semi-structured spare benchmarks on consumer hardware HOT 12
- Docs Revamp
- [Tracker] Outstanding Issues and WIP Features for version 0.1 HOT 2
- Reconsider using class method for Int8DynamicallyQuantizedLinearWeight.from_float HOT 1
- Project implicitly depends on torch nightly HOT 4
- Handle NonDynamicallyQuantizableLinear in smoothquant module HOT 2
- how do you implement int8 mm on cuda? HOT 1
- [RFC] Plans for torchao HOT 21
- apply_dynamic_quant for vit_b_16 HOT 2
- [New Feature] CUTLASS kernels for w4a8 quantization HOT 4
- 1 bit LLM implementation HOT 1
- [RFC] Plans for LLM QAT
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