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Add support for llama3 on the quantized example (#2086)

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* add support for l3b, new tokenizer

* add todo

* Add todo and use k_s model

* Use the official tokenizers.

---------

Co-authored-by: laurent <laurent.mazare@gmail.com>
This commit is contained in:
Thomas Santerre
2024-04-18 16:52:00 -04:00
committed by GitHub
parent 2b93dffe64
commit f7a6468238
1 changed files with 23 additions and 8 deletions
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31
candle-examples/examples/quantized/main.rs
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@ -67,6 +67,8 @@ enum Which {
Mixtral, Mixtral,
#[value(name = "mixtral-instruct")] #[value(name = "mixtral-instruct")]
MixtralInstruct, MixtralInstruct,
#[value(name = "llama3-8b")]
L8b,
} }
impl Which { impl Which {
@ -82,7 +84,8 @@ impl Which {
| Self::L13bCode | Self::L13bCode
| Self::L34bCode | Self::L34bCode
| Self::Leo7b | Self::Leo7b
| Self::Leo13b => false, | Self::Leo13b
| Self::L8b => false,
// Zephyr and OpenChat are fine tuned versions of mistral and should be treated in the // Zephyr and OpenChat are fine tuned versions of mistral and should be treated in the
// same way. Starling is a fine tuned version of OpenChat. // same way. Starling is a fine tuned version of OpenChat.
Self::OpenChat35 Self::OpenChat35
@ -116,7 +119,8 @@ impl Which {
| Self::Mistral7bInstruct | Self::Mistral7bInstruct
| Self::Mistral7bInstructV02 | Self::Mistral7bInstructV02
| Self::OpenChat35 | Self::OpenChat35
| Self::Starling7bAlpha => false, | Self::Starling7bAlpha
| Self::L8b => false,
Self::Zephyr7bAlpha | Self::Zephyr7bBeta => true, Self::Zephyr7bAlpha | Self::Zephyr7bBeta => true,
} }
} }
@ -140,7 +144,8 @@ impl Which {
| Self::Mistral7bInstruct | Self::Mistral7bInstruct
| Self::Mistral7bInstructV02 | Self::Mistral7bInstructV02
| Self::Zephyr7bAlpha | Self::Zephyr7bAlpha
| Self::Zephyr7bBeta => false, | Self::Zephyr7bBeta
| Self::L8b => false,
Self::OpenChat35 | Self::Starling7bAlpha => true, Self::OpenChat35 | Self::Starling7bAlpha => true,
} }
} }
@ -167,6 +172,7 @@ impl Which {
| Which::Zephyr7bBeta => "mistralai/Mistral-7B-v0.1", | Which::Zephyr7bBeta => "mistralai/Mistral-7B-v0.1",
Which::OpenChat35 => "openchat/openchat_3.5", Which::OpenChat35 => "openchat/openchat_3.5",
Which::Starling7bAlpha => "berkeley-nest/Starling-LM-7B-alpha", Which::Starling7bAlpha => "berkeley-nest/Starling-LM-7B-alpha",
Self::L8b => "meta-llama/Meta-Llama-3-8B",
} }
} }
} }
@ -322,6 +328,11 @@ impl Args {
"TheBloke/Starling-LM-7B-alpha-GGUF", "TheBloke/Starling-LM-7B-alpha-GGUF",
"starling-lm-7b-alpha.Q4_K_M.gguf", "starling-lm-7b-alpha.Q4_K_M.gguf",
), ),
// TODO: swap to TheBloke model when available
Which::L8b => (
"QuantFactory/Meta-Llama-3-8B-GGUF",
"Meta-Llama-3-8B.Q4_K_S.gguf",
),
}; };
let api = hf_hub::api::sync::Api::new()?; let api = hf_hub::api::sync::Api::new()?;
let api = api.model(repo.to_string()); let api = api.model(repo.to_string());
@ -420,7 +431,8 @@ fn main() -> anyhow::Result<()> {
| Which::L13bCode | Which::L13bCode
| Which::L34bCode | Which::L34bCode
| Which::Leo7b | Which::Leo7b
| Which::Leo13b => 1, | Which::Leo13b
| Which::L8b => 1,
Which::Mixtral Which::Mixtral
| Which::MixtralInstruct | Which::MixtralInstruct
| Which::Mistral7b | Which::Mistral7b
@ -537,11 +549,14 @@ fn main() -> anyhow::Result<()> {
std::io::stdout().flush()?; std::io::stdout().flush()?;
} }
let eos_token = if args.which.is_open_chat() { let eos_token = match args.which {
"<|end_of_turn|>" Which::L8b => "<|end_of_text|>",
} else { _ => match args.which.is_open_chat() {
"</s>" true => "<|end_of_turn|>",
false => "</s>",
},
}; };
let eos_token = *tos.tokenizer().get_vocab(true).get(eos_token).unwrap(); let eos_token = *tos.tokenizer().get_vocab(true).get(eos_token).unwrap();
let start_post_prompt = std::time::Instant::now(); let start_post_prompt = std::time::Instant::now();
let mut sampled = 0; let mut sampled = 0;