feat: add --split-mode CLI option

Signed-off-by: Xin Liu <[email protected]>

src/main.rs

@@ -78,6 +78,9 @@ struct Cli {
     /// Number of layers to run on the GPU
     #[arg(short = 'g', long, default_value = "100")]
     n_gpu_layers: u64,
+    /// Split the model across multiple GPUs. Possible values: `none` (use one GPU only), `layer` (split layers and KV across GPUs, default), `row` (split rows across GPUs)
+    #[arg(long, default_value = "layer")]
+    split_mode: String,
     /// The main GPU to use.
     #[arg(long)]
     main_gpu: Option<u64>,
@@ -246,6 +249,9 @@ async fn main() -> Result<(), ServerError> {
     // log n_gpu_layers
     info!(target: "stdout", "n_gpu_layers: {}", &cli.n_gpu_layers);
 
+    // log split_mode
+    info!(target: "stdout", "split_mode: {}", cli.split_mode);
+
     // log main GPU
     if let Some(main_gpu) = &cli.main_gpu {
         info!(target: "stdout", "main_gpu: {}", main_gpu);
@@ -395,6 +401,7 @@ async fn main() -> Result<(), ServerError> {
     .with_batch_size(cli.batch_size[0])
     .with_n_predict(cli.n_predict)
     .with_n_gpu_layers(cli.n_gpu_layers)
+    .with_split_mode(cli.split_mode.clone())
     .with_main_gpu(cli.main_gpu)
     .with_tensor_split(cli.tensor_split.clone())
     .with_threads(cli.threads)
@@ -418,6 +425,9 @@ async fn main() -> Result<(), ServerError> {
         repeat_penalty: chat_metadata.repeat_penalty,
         presence_penalty: chat_metadata.presence_penalty,
         frequency_penalty: chat_metadata.frequency_penalty,
+        split_mode: chat_metadata.split_mode.clone(),
+        main_gpu: chat_metadata.main_gpu,
+        tensor_split: chat_metadata.tensor_split.clone(),
     };
 
     // chat model
@@ -431,6 +441,7 @@ async fn main() -> Result<(), ServerError> {
     )
     .with_ctx_size(cli.ctx_size[1])
     .with_batch_size(cli.batch_size[1])
+    .with_split_mode(cli.split_mode)
     .with_main_gpu(cli.main_gpu)
     .with_tensor_split(cli.tensor_split)
     .with_threads(cli.threads)
@@ -441,17 +452,20 @@ async fn main() -> Result<(), ServerError> {
     let embedding_model_info = ModelConfig {
         name: embedding_metadata.model_name.clone(),
         ty: "embedding".to_string(),
+        ctx_size: embedding_metadata.ctx_size,
+        batch_size: embedding_metadata.batch_size,
         prompt_template: embedding_metadata.prompt_template,
         n_predict: embedding_metadata.n_predict,
         reverse_prompt: embedding_metadata.reverse_prompt.clone(),
         n_gpu_layers: embedding_metadata.n_gpu_layers,
-        ctx_size: embedding_metadata.ctx_size,
-        batch_size: embedding_metadata.batch_size,
         temperature: embedding_metadata.temperature,
         top_p: embedding_metadata.top_p,
         repeat_penalty: embedding_metadata.repeat_penalty,
         presence_penalty: embedding_metadata.presence_penalty,
         frequency_penalty: embedding_metadata.frequency_penalty,
+        split_mode: embedding_metadata.split_mode.clone(),
+        main_gpu: embedding_metadata.main_gpu,
+        tensor_split: embedding_metadata.tensor_split.clone(),
     };
 
     // embedding model
@@ -686,18 +700,23 @@ pub(crate) struct ModelConfig {
     // type: chat or embedding
     #[serde(rename = "type")]
     ty: String,
+    pub ctx_size: u64,
+    pub batch_size: u64,
     pub prompt_template: PromptTemplateType,
     pub n_predict: i32,
     #[serde(skip_serializing_if = "Option::is_none")]
     pub reverse_prompt: Option<String>,
     pub n_gpu_layers: u64,
-    pub ctx_size: u64,
-    pub batch_size: u64,
     pub temperature: f64,
     pub top_p: f64,
     pub repeat_penalty: f64,
     pub presence_penalty: f64,
     pub frequency_penalty: f64,
+    pub split_mode: String,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub main_gpu: Option<u64>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub tensor_split: Option<String>,
 }
 
 #[derive(Debug, Serialize, Deserialize)]