Commit Graph

7 Commits

Author SHA1 Message Date
904bbdae65 Make the Python Wrapper more Hackable and simplify Quantization (#1010)
* Some first `Module` implementations

* Add `state_dict` and `load_state_dict` functionality

* Move modules around and create `candle.nn.Linear`

* Add `nn.Embedding` and `nn.LayerNorm`

* Add BERT implementation

* Batch q-matmul

* Automatically dequantize `QTensors` if a `Tensor` is expected

* Add Module `.to()`, `.cuda()`, `cpu()` and `.type()` functionality

* Unittests for `Module`, `Tensor` and `candle.utils`

* Add `pytorch` like slicing to `Tensor`

* Cleanup and BERT fixes

* `black` formatting + unit-test for `nn.Linear`

* Refactor slicing implementation
2023-10-06 19:01:07 +01:00
03e194123d Add return types to *.pyi stubs (#880)
* Start generating return types

* Finish tensor type hinting

* Add `save_gguf` to `utils`

* Typehint `quant-llama.py`
2023-09-17 22:11:01 +01:00
8658df3485 Generate *.pyi stubs for PyO3 wrapper (#870)
* Begin to generate typehints.

* generate correct stubs

* Correctly include stubs

* Add comments and typhints to static functions

* ensure candle-pyo3 directory

* Make `llama.rope.freq_base` optional

* `fmt`
2023-09-16 17:23:38 +01:00
20512ba408 Return the metadata in the gguf pyo3 bindings. (#729)
* Return the metadata in the gguf pyo3 bindings.

* Read the metadata in the quantized llama example.

* Get inference to work on gguf files.
2023-09-04 07:07:00 +01:00
21109e1983 Recommend using maturin. (#717) 2023-09-02 16:19:35 +01:00
ad796eb4be More quantized llama in python. (#716)
* More quantized llama in python.

* Expose a couple more functions.

* Apply the last layer.

* Use the vocab from the ggml files.
2023-09-02 13:41:48 +01:00
e8e33752f4 Sketch a quantized llama using the pyo3 api. (#715)
* Sketch a quantized llama using the pyo3 api.

* Add more ops.

* Expose a few more functions to use in the quantized model.

* Rope embeddings.

* Get the forward pass to work.
2023-09-02 11:26:05 +01:00