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Add some llama-3.2 examples. (#2508)
* Add some llama-3.2 examples. * Support tie-word-embeddings for llama.
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@ -35,6 +35,10 @@ enum Which {
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V31,
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V3Instruct,
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V31Instruct,
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V32_1b,
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V32_1bInstruct,
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V32_3b,
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V32_3bInstruct,
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#[value(name = "solar-10.7b")]
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Solar10_7B,
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#[value(name = "tiny-llama-1.1b-chat")]
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@ -137,6 +141,10 @@ fn main() -> Result<()> {
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Which::V3Instruct => "meta-llama/Meta-Llama-3-8B-Instruct".to_string(),
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Which::V31 => "meta-llama/Meta-Llama-3.1-8B".to_string(),
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Which::V31Instruct => "meta-llama/Meta-Llama-3.1-8B-Instruct".to_string(),
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Which::V32_1b => "meta-llama/Llama-3.2-1B".to_string(),
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Which::V32_1bInstruct => "meta-llama/Llama-3.2-1B-Instruct".to_string(),
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Which::V32_3b => "meta-llama/Llama-3.2-3B".to_string(),
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Which::V32_3bInstruct => "meta-llama/Llama-3.2-3B-Instruct".to_string(),
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Which::Solar10_7B => "upstage/SOLAR-10.7B-v1.0".to_string(),
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Which::TinyLlama1_1BChat => "TinyLlama/TinyLlama-1.1B-Chat-v1.0".to_string(),
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});
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@ -156,10 +164,14 @@ fn main() -> Result<()> {
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| Which::V3Instruct
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| Which::V31
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| Which::V31Instruct
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| Which::V32_3b
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| Which::V32_3bInstruct
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| Which::Solar10_7B => {
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candle_examples::hub_load_safetensors(&api, "model.safetensors.index.json")?
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}
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Which::TinyLlama1_1BChat => vec![api.get("model.safetensors")?],
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Which::V32_1b | Which::V32_1bInstruct | Which::TinyLlama1_1BChat => {
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vec![api.get("model.safetensors")?]
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}
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};
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let cache = model::Cache::new(!args.no_kv_cache, dtype, &config, &device)?;
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@ -44,6 +44,7 @@ pub struct LlamaConfig {
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pub eos_token_id: Option<LlamaEosToks>,
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pub rope_scaling: Option<Llama3RopeConfig>,
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pub max_position_embeddings: usize,
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pub tie_word_embeddings: Option<bool>,
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}
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impl LlamaConfig {
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@ -72,6 +73,7 @@ impl LlamaConfig {
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eos_token_id: self.eos_token_id,
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rope_scaling: self.rope_scaling,
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max_position_embeddings: self.max_position_embeddings,
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tie_word_embeddings: self.tie_word_embeddings.unwrap_or(false),
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}
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}
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}
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@ -91,6 +93,7 @@ pub struct Config {
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pub eos_token_id: Option<LlamaEosToks>,
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pub rope_scaling: Option<Llama3RopeConfig>,
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pub max_position_embeddings: usize,
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pub tie_word_embeddings: bool,
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}
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impl Config {
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@ -109,6 +112,7 @@ impl Config {
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eos_token_id: None,
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rope_scaling: None,
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max_position_embeddings: DEFAULT_MAX_SEQ_LEN,
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tie_word_embeddings: false,
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}
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}
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@ -127,6 +131,7 @@ impl Config {
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eos_token_id: None,
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rope_scaling: None,
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max_position_embeddings: DEFAULT_MAX_SEQ_LEN,
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tie_word_embeddings: false,
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}
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}
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}
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@ -504,7 +509,11 @@ impl Llama {
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pub fn load(vb: VarBuilder, cfg: &Config) -> Result<Self> {
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let wte = embedding(cfg.vocab_size, cfg.hidden_size, vb.pp("model.embed_tokens"))?;
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let lm_head = linear(cfg.hidden_size, cfg.vocab_size, vb.pp("lm_head"))?;
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let lm_head = if cfg.tie_word_embeddings {
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Linear::from_weights(wte.embeddings().clone(), None)
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} else {
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linear(cfg.hidden_size, cfg.vocab_size, vb.pp("lm_head"))?
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};
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let ln_f = RmsNorm::new(cfg.hidden_size, cfg.rms_norm_eps, vb.pp("model.norm"))?;
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let blocks: Vec<_> = (0..cfg.num_hidden_layers)
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.map(|i| Block::load(vb.pp(format!("model.layers.{i}")), cfg).unwrap())
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@ -43,6 +43,7 @@ pub struct LLaVAConfig {
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pub image_token_index: isize,
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#[serde(default = "default_hf")]
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pub hf: bool,
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pub tie_word_embeddings: Option<bool>,
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}
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fn default_hf() -> bool {
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@ -77,6 +78,7 @@ impl LLaVAConfig {
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use_flash_attn: false,
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rope_scaling: None, // Assume we don't have LLaVA for Llama 3.1
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max_position_embeddings: self.max_position_embeddings,
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tie_word_embeddings: self.tie_word_embeddings.unwrap_or(false),
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}
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}
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}
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@ -264,6 +266,7 @@ impl HFLLaVAConfig {
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use_cache: self.text_config.use_cache,
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vocab_size: self.vocab_size,
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image_token_index: self.image_token_index,
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tie_word_embeddings: None,
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}
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}
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}
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