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Add support for Llama 3.1 (#2359)

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* Add Llama 3.1 rope

* Clippy

* Format

* Clippy

* Add support for multiple eos tokens:

* Untagged either

* Remove either dep and fix settings.json

* Make the max positional embeddings configurable
This commit is contained in:
Eric Buehler
2024-07-26 15:32:26 -04:00
committed by GitHub
parent ddafc61055
commit 0f5cbb08b3
24 changed files with 165 additions and 71 deletions
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6
candle-core/benches/benchmarks/where_cond.rs
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@ -25,9 +25,9 @@ const SIZE: usize = B * M * K;
const DATA: [u8; SIZE] = create_cond_arr::<SIZE>();
fn run_where_cond_benchmark(c: &mut Criterion, device: &Device, dtype: DType, name: &str) {
let tensor = Tensor::from_slice(DATA.as_slice(), (B, M, K), &device).unwrap();
let on_true = Tensor::ones((B, M, K), dtype, &device).unwrap();
let on_false = Tensor::zeros((B, M, K), dtype, &device).unwrap();
let tensor = Tensor::from_slice(DATA.as_slice(), (B, M, K), device).unwrap();
let on_true = Tensor::ones((B, M, K), dtype, device).unwrap();
let on_false = Tensor::zeros((B, M, K), dtype, device).unwrap();
let elements = B * M * K;
// E.g. 2 f32 tensors + 1 u8 tensor