Related Issues (20)
- Refactor config/code classes to follow Flax.
- Implement FP8 Numerics. HOT 1
- Add functionality to allow QK cache quantization. HOT 1
- Implement backprop quantization for convolution.
- Does JAXv2 allow for arbitrary quantization? HOT 1
- Performance of MNIST example HOT 1
- Test HOT 2
- AqtEinsum 'not enough values to unpack'
- TypeError: dataclass() got an unexpected keyword argument 'frozen' HOT 2
- Can AQT be used to calculate qk score? HOT 2
- Binary quantization?
- Embedded inference or tflite compatibility on the roadmap?
- How to use it with jnp.einsum? HOT 1
- NormalFloat4 support
- generalized einsum or matmul api for pure jax
- dilated conv layer that can be injected into flax.nn.Conv
- flax_e2e_model.py example fails
- Gradient quantization support
- Support Python versions <3.10
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from aqt.