a79286885c
Support safetensors weights in llama2.c inference. ( #317 )
2023-08-03 11:10:58 +01:00
dba31473d4
Typos and format and CD only when PR lands.
2023-08-02 19:18:43 +02:00
c11e78b334
Odd rebase artifact.
2023-08-02 18:40:24 +02:00
1b705a426f
Remove duplicate.
2023-08-02 18:40:24 +02:00
a44471a305
Adding more details on how to load things.
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- Loading with memmap
- Loading a sharded tensor
- Moved some snippets to `candle-examples/src/lib.rs` This is because
managing book specific dependencies is a pain https://github.com/rust-lang/mdBook/issues/706
- This causes a non aligned inclusion https://github.com/rust-lang/mdBook/pull/1856 which we have
to ignore fmt to remove.
mdbook might need some more love :)
2023-08-02 18:40:24 +02:00
4f17290ce0
Use AdamW in the llama2 training. ( #308 )
2023-08-02 14:14:02 +01:00
4fe8a02f88
Update the repo location. ( #305 )
2023-08-02 11:12:18 +01:00
03a421f714
Add some missing readme files. ( #304 )
2023-08-02 10:57:12 +01:00
d38943aadc
Add version numbers for all the candle crates ( #303 )
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* Switch to candle-gemm for the time being.
* Add the missing versions.
2023-08-02 10:52:13 +01:00
51e51da896
Rename the candle crate to candle-core ( #301 )
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* Rename to candle-core.
* More candle-core renaming.
2023-08-02 08:20:22 +01:00
4b3bd79fbd
Remove the embedding ops in favor of index-select. ( #299 )
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* Remove the embedding ops in favor of index-select.
* Also remove the cuda kernels.
2023-08-02 05:42:11 +01:00
ff876c2103
Llama more training ( #297 )
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* Rework the var-builder to handle initializations.
* Add some helper functions for layer creation.
* Improve the layer initializations.
* Get initialized variables.
* Precompute the rot embeddings when training lamas.
2023-08-01 19:53:41 +01:00
a27239f3d9
Add training for the llama2.c example ( #296 )
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* Rework the commands and run inference by default.
* Add the training module and load the training dataset.
* Random dataset iterator.
* Proper valid-loss computation.
* Compute the evaluation loss.
* Add more substance to the training loop.
2023-08-01 17:23:07 +01:00
75e0448114
Move the weight bits in a separate module. ( #295 )
2023-08-01 10:37:06 +01:00
614f911e9e
Add some batcher variants that handle errors. ( #294 )
2023-08-01 09:40:34 +01:00
e1e8127f15
Add the batcher. ( #293 )
2023-08-01 09:16:10 +01:00
fa98ca0c35
Use subcommands in llama2. ( #292 )
2023-08-01 05:57:41 +01:00
1a07ff8d17
Pre-tokenized evaluation mode for llama2.c. ( #291 )
2023-08-01 05:36:25 +01:00
f28558d0b7
Evaluate on the pre-tokenized file. ( #290 )
2023-07-31 21:31:38 +01:00
6b98b66eb3
Remove the end of text tokens. ( #289 )
2023-07-31 20:43:57 +01:00
9ae1f6afee
Add an eval mode to llama2-c ( #288 )
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* Add an eval mode to llama2-c.
* Encode line by line.
* Get the eval to run.
2023-07-31 17:22:14 +01:00
ffeafbfc43
Make the nll op closer to the pytorch version + add a test. ( #286 )
2023-07-31 14:14:01 +01:00
b3ea96b62b
Add a prompt and support more models in llama2-c. ( #285 )
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* Support more models in llama2-c.
* Add a prompt.
2023-07-31 13:09:30 +01:00
94a43faaca
Use the hub models for llama2.c ( #284 )
2023-07-31 12:51:14 +01:00
62a9b03715
Add a flag to set the number of epochs in the mnist training ( #283 )
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* Add a flag to change the number of epochs for the mnist training.
* Increase the learning rate for the MLP.
2023-07-31 10:32:14 +01:00
a8d8f9f206
Load a trained checkpoint in the mnist example. ( #280 )
2023-07-30 17:01:45 +01:00
38ff693af0
Add a flag to save the trained weights. ( #279 )
2023-07-30 15:41:42 +01:00
c950a5c6b1
Cuda support for the mnist training. ( #277 )
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* Cuda support for the mnist training.
* min/max fix + testing.
* Add the argmin/argmax tests.
* More cuda support for argmin/argmax.
* Cuda kernels for argmin and argmax.
2023-07-29 19:48:04 +01:00
16c33383eb
Improve the mnist training example. ( #276 )
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* Improve the mnist training example.
* Add some initialization routine that can be used for nn.
* Proper initialization in the mnist example.
2023-07-29 16:28:22 +01:00
40c80bfbb2
Merge branch 'main' into update_multiprocess
2023-07-29 16:38:35 +02:00
07eb899729
More mnist training. ( #275 )
2023-07-29 13:29:31 +01:00
4bf2ebf836
Use u8 tensors for masks. ( #273 )
2023-07-29 11:32:58 +01:00
97d8712ba5
Remove single function.
2023-07-28 23:31:25 +02:00
97181a77c0
Making multiprocess require flash-attn.
2023-07-28 23:31:24 +02:00
50d8273ae4
Support both llama v1 and llama v2. ( #272 )
2023-07-28 18:40:59 +01:00
7513a5e005
Line-up the llama implementation with the python-transformers one. ( #271 )
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* Line-up the llama implementation with the python-transformers one.
* Also lineup the multiprocess version.
2023-07-28 18:31:28 +01:00
cb8dd5cd53
Back to using the main branch now that the PR has been merged. ( #270 )
2023-07-28 16:22:44 +01:00
a0e47aba98
Fix the revision used in starcoder to use the safetensors PR. ( #269 )
2023-07-28 14:02:31 +01:00
3eb2bc6d07
Softmax numerical stability. ( #267 )
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* Softmax numerical stability.
* Fix the flash-attn test.
2023-07-28 13:13:01 +01:00
68eab38de6
Cuda fix for starcoder. ( #266 )
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* Cuda fix for starcoder.
* Nicer output.
2023-07-28 12:13:41 +01:00
4002968cf5
Put back `"dep:half"
2023-07-28 10:34:21 +00:00
be256a6ba6
Fixing.
2023-07-28 10:23:05 +00:00
d2dea11ef6
Fixing nccl feature.
2023-07-28 12:19:20 +02:00
3e89df938c
Starcoder fix ( #264 )
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* Bugfix for starcoder.
* Get some proper code generation.
* Slightly simpler softmax.
2023-07-28 11:17:49 +01:00
6a54ca115e
Add some Bigcode model ( #260 )
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* Start sketching the bigcode gpt model.
* Sketch the bigcode model.
* Implement the attention mechanism.
* Random reshaping.
* Sketch more of the example.
* Add some kv cache.
* Properly generate the position ids.
* Proper attention mask.
* Bail on upcasting.
* Properly apply the attention mask.
* Add the smaller starcoder variants.
* Update for the new hub api.
* Fix a shape issue.
* Fix another shape issue.
* Get some logits out.
* Adjust the weigth names.
2023-07-28 09:57:32 +01:00
4f260ef025
Merge pull request #216 from LaurentMazare/llama_multiprocess2
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TP sharding v2
2023-07-28 08:06:13 +01:00
ca479a873e
Upgrading hf-hub to 0.2.0 (Modified API to not pass the Repo around
...
all the time)
2023-07-27 20:05:02 +02:00
25a2086e8f
Putting back Send + Sync
2023-07-27 09:58:47 +02:00
7c7e6ba201
Removing inner dependency on safetensors.
2023-07-27 09:58:47 +02:00
ed58de7551
Fixed TP sharded version.
2023-07-27 09:58:46 +02:00
