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07849aa595c65309ed9230a4c97035f471c6afb1
candle/candle-transformers/src
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Zack Angelo a2e9d41b20 use softmax_last_dim (metal and cuda kernel) in llama attention layer (#2572)
2024-10-23 20:07:09 +02:00
..
generation
Include topk sampling in the quantized example. (#2005)
2024-04-04 09:27:54 +02:00
models
use softmax_last_dim (metal and cuda kernel) in llama attention layer (#2572)
2024-10-23 20:07:09 +02:00
pipelines
Sketch the candle-transformers crate. (#147)
2023-07-12 13:49:31 +01:00
lib.rs
Move the common quantized-nn code to a shared module. (#1063)
2023-10-09 06:22:22 +01:00
object_detection.rs
Soft Non-Maximum Suppression (#2400)
2024-08-10 07:57:52 +02:00
quantized_nn.rs
Use the fast RmsNorm in the quantized model. (#1904)
2024-03-21 18:49:35 +01:00
quantized_var_builder.rs
Add a quantized version of recurrent-gemma. (#2054)
2024-04-13 20:07:01 +02:00
utils.rs
Use cat for faster MQA computation. (#2043)
2024-04-12 09:15:10 +02:00
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