Struct Model 

pub struct Model {

    pub id: i64,
    pub name: String,
    pub file_path: PathBuf,
    pub param_count_b: f64,
    pub architecture: Option<String>,
    pub quantization: Option<String>,
    pub context_length: Option<u64>,
    pub metadata: HashMap<String, String>,
    pub added_at: DateTime<Utc>,
    pub hf_repo_id: Option<String>,
    pub hf_commit_sha: Option<String>,
    pub hf_filename: Option<String>,
    pub download_date: Option<DateTime<Utc>>,
    pub last_update_check: Option<DateTime<Utc>>,
    pub tags: Vec<String>,
    pub capabilities: ModelCapabilities,
    pub inference_defaults: Option<InferenceConfig>,
}

A model that exists in the system with a database ID.

This represents a persisted model with all its metadata. Use NewModel for models that haven’t been persisted yet.

Fields

id: i64

Database ID of the model (always present for persisted models).

name: String

Human-readable name for the model.

file_path: PathBuf

Absolute path to the GGUF file on the filesystem.

param_count_b: f64

Number of parameters in the model (in billions).

architecture: Option<String>

Model architecture (e.g., “llama”, “mistral”, “falcon”).

quantization: Option<String>

Quantization type (e.g., “Q4_0”, “Q8_0”, “F16”, “F32”).

context_length: Option<u64>

Maximum context length the model supports.

metadata: HashMap<String, String>

Additional metadata key-value pairs from the GGUF file.

added_at: DateTime<Utc>

UTC timestamp of when the model was added to the database.

hf_repo_id: Option<String>

HuggingFace repository ID (e.g., “TheBloke/Llama-2-7B-GGUF”).

hf_commit_sha: Option<String>

Git commit SHA from HuggingFace Hub.

hf_filename: Option<String>

Original filename on HuggingFace Hub.

download_date: Option<DateTime<Utc>>

Timestamp of when this model was downloaded from HuggingFace.

last_update_check: Option<DateTime<Utc>>

Last time we checked for updates on HuggingFace.

tags: Vec<String>

User-defined tags for organizing models.

capabilities: ModelCapabilities

Model capabilities inferred from chat template analysis.

inference_defaults: Option<InferenceConfig>

Per-model inference parameter defaults.

These are preferred over global settings when making inference requests. If not set, falls back to global settings or hardcoded defaults.

Implementations

impl Model

pub fn to_new_model(&self) -> NewModel

Convert this model to a NewModel (drops the ID).

Useful when you need to clone a model’s data without the ID.

Trait Implementations

impl Clone for Model

fn clone(&self) -> Model

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for Model

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for Model

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for Model

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.