Commit Graph

1814 Commits

Author SHA1 Message Date
64d4038e4f Mention rwkv v6 in the readmes. (#1784) 2024-03-01 08:58:30 +01:00
979deaca07 EfficientVit (MSRA) model (#1783)
* Add EfficientVit (Microsoft Research Asia) model.

* Mention models in README
2024-03-01 08:53:52 +01:00
b485e4b6ee add models of rwkv v6 and quantized rwkv v6 (#1781)
* add models of rwkv v6 and quantized rwkv v6

* fix ci clippy fail
2024-03-01 08:37:56 +01:00
2c95b7394a Handle Q5_0 and Q5_1 quants in cuda. 2024-02-29 10:54:01 +01:00
4fd00b8900 Add the StarCoder2 model. (#1779)
* Add the StarCoder2 model.

* Add the example code and get things to work.

* And also tweak the readme.
2024-02-28 21:02:41 +01:00
57267cd536 Add a flag to force running the quantized model on CPUs. (#1778)
* Add a flag to force running the quantized model on CPUs.

* Add encodec to the readme.
2024-02-28 14:58:42 +01:00
60ee5cfd4d Support more modes in the encodec example. (#1777)
* Support more modes in the encodec example.

* Remove the old encodec model from the musicgen bits.
2024-02-28 09:22:33 +01:00
56e44aabe3 Make some dependencies optional in the examples. (#1776) 2024-02-28 07:17:03 +01:00
d0aca6c3c6 Encodec encoding demo. (#1775) 2024-02-28 06:49:03 +01:00
15e8644149 Apply dilations in the encodec model. (#1772)
* Apply dilations in the encodec model.

* Add some encoding bits.
2024-02-27 23:26:35 +01:00
0c49e95dfb Encodec model. (#1771)
* Encodec model.

* Fixes.

* Add the padding functions.

* Get the LSTM bit to work.

* Get the encodec model to generate some tokens (decoder only for now).

* Minor tweak.

* Minor tweak.
2024-02-27 22:59:40 +01:00
205767f9de Avoid tensor copying in the quantized example. (#1770) 2024-02-27 20:32:30 +01:00
5e526abc8c Bump the version number to 0.4.1. (#1768)
* Fix the block size for some cuda kernels.

* Bump the version number to 0.4.1.
2024-02-27 14:19:59 +01:00
6400e1b0a0 Fix the block size for some cuda kernels. (#1767) 2024-02-27 14:08:33 +01:00
32544a2ad6 Add an option to split the prompt. (#1766) 2024-02-27 11:24:11 +01:00
badf886583 Cuda kernel for dequantizing q8k. (#1760)
* Cuda kernel for dequantizing q8k.

* Clippy lints.
2024-02-26 08:42:44 +01:00
918136ba46 add quantized rwkv v5 model (#1743)
* and quantized rwkv v5 model

* Integrate the quantized rwkv model in the initial example.

---------

Co-authored-by: laurent <laurent.mazare@gmail.com>
2024-02-25 21:43:40 +01:00
1a6043af51 Tweak the VarMap set type. (#1758) 2024-02-25 20:50:08 +01:00
2f22afd80e Cuda acceleration for quantized model. (#1754)
* Boilerplate for the quantized cuda support.

* More basic cuda support.

* More cuda quantization (quantize on cpu for now).

* Add the dequantization bit.

* Start adding some dedicated cuda kernels from llama.cpp.

* Move the kernel code.

* Start interfacing with the kernel.

* Tweak the kernel launch params.

* Bugfix for quantized metal.

* Fix some clippy lints.

* Tweak the launch parameters.

* Tweak cuda basics to perform a quantized matmul.

* Perform the dequantization on the cpu + use cublas for matmul.

* Add the dequantization kernel.

* Test the qmatmul.

* More kernels.

* Matmul-vec kernel.

* Add a couple kernels.

* More dequantization kernels.
2024-02-25 18:11:47 +01:00
8d04f70f4d Fix the eos token for gemma. (#1753) 2024-02-24 11:07:02 +01:00
eeb7e2b683 Apply rustfmt to the newly added tests. (#1749) 2024-02-23 06:48:28 +01:00
11ea7aac4d tests (#1724) 2024-02-23 06:35:46 +01:00
32eb56d6b3 Fix typo in README (#1740) 2024-02-22 12:35:26 +01:00
28057781aa Make the cache for the llama model explicit too. (#1745) 2024-02-22 12:04:33 +01:00
544018b6d0 Explicit caching in llama2.c. 2024-02-22 10:22:03 +01:00
c753f72c85 Support for attention bias in gemma + refactor things a bit. (#1744)
* Support for attention bias in gemma + refactor things a bit.

* Fix the cuda tests.
2024-02-22 09:35:28 +01:00
8013b50829 Add grads for interpolate1d (#1742)
* add backprop for interpolate1d

* fix clippy lint

* correct fix clippy lint
2024-02-22 08:44:01 +01:00
45d5322d62 Add the Gemma models. (#1741)
* Add the Gemma models.

* Add the gemma example.

* Adapt the RmsNorm.

* Get the 2b model to work.

* 7b support.

* Use the config head dim.

* Yet another fix.

* Make the matrixes contiguous.

* Also get the 7b model to work.

* And add to the readme.
2024-02-21 22:02:50 +01:00
a2cb2edead Add a couple backtraces on cpu errors. (#1738) 2024-02-20 19:54:13 +01:00
fc67d878bb Bugfix for conv-transpose1d (#1734)
* Add a currently broken test.

* Bugfix + fix test.
2024-02-19 09:04:49 +01:00
3ba37443e5 Bugfix for applying the bias in conv1d-transpose. (#1732) 2024-02-18 22:51:20 +01:00
1fb728772d Support for groups in conv-transpose1d. (#1731)
* Groups support in conv-transpose-1d.

* Remove dangling file.
2024-02-18 21:28:07 +01:00
cb86b0c82c Fix float unpickling. (#1730) 2024-02-18 19:33:55 +01:00
6284ad784c Module implementation for options. (#1728) 2024-02-18 14:12:55 +01:00
678d44a7f6 Expose the weights and biases in transposed convolutions. (#1727) 2024-02-18 10:35:01 +01:00
41416d2376 Expose more conv1d functions/structs. (#1726) 2024-02-17 18:50:55 +01:00
5ebcfeaf0f Make the r, k, v tensors contiguous. (#1719) 2024-02-16 09:17:35 +01:00
7c7400fb63 Use the tokenizer-output-stream in the llama example. (#1715)
* Use the tokenizer-output-stream in the llama example.

* Also use tokenizer-output-stream for llama2-c.
2024-02-15 16:47:33 +01:00
058a910d0e Add a readme for rwkv. (#1712) 2024-02-14 15:31:33 +01:00
26fe162ab5 Custom tokenizer for rwkv. (#1711)
* Custom tokenizer for rwkv.

* Custom tokenizer.

* Getting the tokenizer to work.
2024-02-14 15:11:38 +01:00
121a71e01f Fix the silu cuda kernel. (#1710) 2024-02-14 11:08:18 +01:00
2d5f2a728d Add the RWKV model (v5). (#1707)
* Start adding the RWKV model.

* More of the forward step.

* Handle rescaling.

* FeedForward.

* More work on RWKV.

* Better state tracking.

* Finish a first pass on forward.

* Fix the shape mismatches.

* Do not rescale in f32.

* Rename to rwkv-v5.

* Add the new models to the readme.
2024-02-14 10:58:32 +01:00
68f7655895 Add ConvNeXt-V2 and smaller model variants. (#1709) 2024-02-14 10:53:07 +01:00
b60064780d feat: add silu activation function (#1706)
* feat: add silu activation function

* use silu/arg in grad

* update candle-nn

* use node
2024-02-14 10:27:22 +01:00
14010a8498 Update our cuda runner. (#1705)
* Update our cuda runner.

* Fix install rust.

* Simplify.

* Docker in docker.

* Install curl

* Install curl

* No sudo.

* devel

* Put curl again.

* Add missing deps.

* pkg-config.

* Cleanup.
2024-02-13 19:06:15 +01:00
0de0795220 Qmetal tweaks (#1704)
* Add the dummy qmetal backend.

* Fix the metal compilation.
2024-02-13 18:11:17 +01:00
c1b418586c Fixing quantized llama demo on metal. (#1703) 2024-02-13 16:28:56 +01:00
ad73e93da2 Detach the tensors on batch-norm eval. (#1702)
* Detach the tensors on batch-norm eval.

* Fix pyo3 bindings.

* Black tweak.

* Formatting.

* Also update the pyo3-onnx formatting.

* Apply black.
2024-02-13 14:26:32 +01:00
13c67226e6 feat: support microphone whisper streaming (#1678)
* feat: support microphone whisper streaming

* fix: cleanup print stmts and adjust how input is read

* fix: remove incorrect comment

* feat: split into new example and simplify

* fix: feature flag example file

* fix: fmt fixes

* feat: simplify and remove redundant files
2024-02-12 18:01:21 +01:00
d0aa197b07 ConvTranspose1d cuda support. (#1697)
* ConvTranspose1d cuda support.

* Add the conv-transpose1d kernel.

* Remove some unused variables.
2024-02-12 15:03:18 +01:00