mistralrs-core 0.8.1

Fast, flexible LLM inference.
Documentation 
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use anyhow::Result;
use tracing::info;

use crate::utils::gguf_metadata::ContentMetadata;

use super::Content;

struct PropsGGUFTemplate {
    chat_template: Option<String>,
}

impl TryFrom<ContentMetadata<'_>> for PropsGGUFTemplate {
    type Error = anyhow::Error;

    fn try_from(c: ContentMetadata) -> Result<Self, Self::Error> {
        // No required keys

        let props = Self {
            chat_template: c.get_option_value("chat_template")?,
        };

        Ok(props)
    }
}

// Get chat template from GGUF metadata if it exists
pub fn get_gguf_chat_template<R: std::io::Seek + std::io::Read>(
    content: &Content<'_, R>,
) -> Result<Option<String>> {
    let metadata = ContentMetadata {
        path_prefix: "tokenizer",
        metadata: content.get_metadata(),
    };
    let props = PropsGGUFTemplate::try_from(metadata)?;
    if let Some(ref chat_template) = props.chat_template {
        info!(
            "Discovered and using GGUF chat template: `{}`",
            chat_template.replace('\n', "\\n")
        );
    }
    Ok(props.chat_template)
}