dengxuan
81 lines
2.9 KiB
Rust
81 lines
2.9 KiB
Rust
use crate::models::common::generate::{GenerationDataProvider, PrepareData};
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use anyhow::Result;
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use candle_core::{DType, Device};
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use candle_nn::VarBuilder;
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use crate::models::minicpm4::config::MiniCPM4Config;
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use crate::models::minicpm4::model::MiniCPMModel;
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use crate::utils::{find_type_files, get_device, get_dtype};
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use crate::{chat_template::ChatTemplate, tokenizer::TokenizerModel};
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pub struct MiniCPM4GenerateModel<'a> {
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chat_template: ChatTemplate<'a>,
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tokenizer: TokenizerModel,
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model: MiniCPMModel,
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device: Device,
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model_name: String,
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}
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impl<'a> MiniCPM4GenerateModel<'a> {
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pub fn init(path: &str, device: Option<&Device>, dtype: Option<DType>) -> Result<Self> {
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let chat_template = ChatTemplate::init(path)?;
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let tokenizer = TokenizerModel::init(path)?;
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let config_path = path.to_string() + "/config.json";
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let cfg: MiniCPM4Config = serde_json::from_slice(&std::fs::read(config_path)?)?;
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let device = &get_device(device);
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let cfg_dtype = cfg.torch_dtype.as_str();
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let dtype = get_dtype(dtype, cfg_dtype);
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let model_list = find_type_files(path, "safetensors")?;
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let vb = unsafe { VarBuilder::from_mmaped_safetensors(&model_list, dtype, device)? };
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let model = MiniCPMModel::new(vb, cfg)?;
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let model_name = std::path::Path::new(path)
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.file_name()
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.and_then(|s| s.to_str())
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.unwrap_or("minicpm4")
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.to_string();
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Ok(MiniCPM4GenerateModel {
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chat_template,
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tokenizer,
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model,
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device: device.clone(),
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model_name,
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})
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}
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/// 文本向量嵌入。
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///
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/// 将输入文本编码为固定长度向量（mean pool + L2 normalize）。
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pub fn embed_text(&mut self, text: &str) -> Result<Vec<f32>> {
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let input_ids = self.tokenizer.text_encode(text.to_string(), &self.device)?;
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let embedding = self.model.embed(&input_ids)?;
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let vec: Vec<f32> = embedding.flatten_all()?.to_dtype(DType::F32)?.to_vec1()?;
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Ok(vec)
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}
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/// 批量文本向量嵌入。
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pub fn embed_text_batch(&mut self, texts: &[&str]) -> Result<Vec<Vec<f32>>> {
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let mut results = Vec::with_capacity(texts.len());
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for text in texts {
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results.push(self.embed_text(text)?);
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}
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Ok(results)
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}
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}
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impl<'a> GenerationDataProvider for MiniCPM4GenerateModel<'a> {
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fn get_data(&self, mes: &crate::params::chat::ChatCompletionParameters) -> Result<PrepareData> {
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let mes_render = self.chat_template.apply_chat_template(mes)?;
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let in_reasoning = self.is_in_reasoning(&mes_render);
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let input_ids = self.tokenizer.text_encode(mes_render, &self.device)?;
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let multi_model_data = self.get_multi_model_data();
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Ok(PrepareData {
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in_reasoning,
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input_ids,
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multi_model_data,
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})
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}
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}
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crate::impl_generate_model!(MiniCPM4GenerateModel<'a>);
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