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* allow chat streaming to use tools * improve docs * fix testing * PR comments * fix merge * Update sampling.rs
66 lines
2.1 KiB
Rust
66 lines
2.1 KiB
Rust
use anyhow::Result;
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use mistralrs::{
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ChatCompletionChunkResponse, ChunkChoice, Delta, IsqType, PagedAttentionMetaBuilder,
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RequestBuilder, Response, TextMessageRole, TextMessages, TextModelBuilder,
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};
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use std::io::Write;
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#[tokio::main]
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async fn main() -> Result<()> {
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let model = TextModelBuilder::new("microsoft/Phi-3.5-mini-instruct")
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.with_isq(IsqType::Q8_0)
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.with_logging()
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.with_paged_attn(|| PagedAttentionMetaBuilder::default().build())?
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.build()
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.await?;
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let messages = TextMessages::new()
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.add_message(
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TextMessageRole::System,
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"You are an AI agent with a specialty in programming.",
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)
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.add_message(
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TextMessageRole::User,
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"Hello! How are you? Please write generic binary search function in Rust.",
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);
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let response = model.send_chat_request(messages).await?;
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println!("{}", response.choices[0].message.content.as_ref().unwrap());
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dbg!(
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response.usage.avg_prompt_tok_per_sec,
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response.usage.avg_compl_tok_per_sec
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);
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// Next example: Return some logprobs with the `RequestBuilder`, which enables higher configurability.
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let request = RequestBuilder::new().return_logprobs(true).add_message(
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TextMessageRole::User,
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"Please write a mathematical equation where a few numbers are added.",
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);
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let mut stream = model.stream_chat_request(request).await?;
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let stdout = std::io::stdout();
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let lock = stdout.lock();
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let mut buf = std::io::BufWriter::new(lock);
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while let Some(chunk) = stream.next().await {
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if let Response::Chunk(ChatCompletionChunkResponse { choices, .. }) = chunk {
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if let Some(ChunkChoice {
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delta:
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Delta {
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content: Some(content),
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..
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},
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..
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}) = choices.first()
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{
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buf.write_all(content.as_bytes())?;
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};
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} else {
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// Handle errors
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}
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}
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Ok(())
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}
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