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Fix the repo name for llama 3.1. (#2576)

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* Fix the repo name for llama 3.1.

* Fix the book.
This commit is contained in:
Laurent Mazare
2024-10-26 11:25:04 +02:00
committed by GitHub
parent a2e9d41b20
commit 3699c1a053
3 changed files with 7 additions and 7 deletions
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2
Cargo.toml
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@ -46,7 +46,7 @@ criterion = { version = "0.5.1", default-features=false }
cudarc = { version = "0.12.1", features = ["std", "cublas", "cublaslt", "curand", "driver", "nvrtc", "f16", "cuda-version-from-build-system", "dynamic-linking"], default-features=false }
fancy-regex = "0.13.0"
gemm = { version = "0.17.0", features = ["wasm-simd128-enable"] }
hf-hub = "0.3.0"
hf-hub = { version = "0.3.3", package = "candle-hf-hub" }
half = { version = "2.3.1", features = ["num-traits", "use-intrinsics", "rand_distr"] }
hound = "3.5.1"
image = { version = "0.25.2", default-features = false, features = ["jpeg", "png"] }

8
candle-book/src/inference/hub.md
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@ -11,8 +11,8 @@ Then let's start by downloading the [model file](https://huggingface.co/bert-bas
```rust
# extern crate candle_core;
# extern crate hf_hub;
use hf_hub::api::sync::Api;
# extern crate candle_hf_hub;
use candle_hf_hub::api::sync::Api;
use candle_core::Device;
let api = Api::new().unwrap();
@ -50,8 +50,8 @@ Now that we have our weights, we can use them in our bert architecture:
```rust
# extern crate candle_core;
# extern crate candle_nn;
# extern crate hf_hub;
# use hf_hub::api::sync::Api;
# extern crate candle_hf_hub;
# use candle_hf_hub::api::sync::Api;
#
# let api = Api::new().unwrap();
# let repo = api.model("bert-base-uncased".to_string());

4
candle-examples/examples/llama/main.rs
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@ -139,8 +139,8 @@ fn main() -> Result<()> {
Which::V2 => "meta-llama/Llama-2-7b-hf".to_string(),
Which::V3 => "meta-llama/Meta-Llama-3-8B".to_string(),
Which::V3Instruct => "meta-llama/Meta-Llama-3-8B-Instruct".to_string(),
Which::V31 => "meta-llama/Meta-Llama-3.1-8B".to_string(),
Which::V31Instruct => "meta-llama/Meta-Llama-3.1-8B-Instruct".to_string(),
Which::V31 => "meta-llama/Llama-3.1-8B".to_string(),
Which::V31Instruct => "meta-llama/Llama-3.1-8B-Instruct".to_string(),
Which::V32_1b => "meta-llama/Llama-3.2-1B".to_string(),
Which::V32_1bInstruct => "meta-llama/Llama-3.2-1B-Instruct".to_string(),
Which::V32_3b => "meta-llama/Llama-3.2-3B".to_string(),