Add the SmolLM2 models.

candle-examples/examples/llama/main.rs

@@ -43,6 +43,18 @@ enum Which {
     Solar10_7B,
     #[value(name = "tiny-llama-1.1b-chat")]
     TinyLlama1_1BChat,
+    #[value(name = "SmoLM2-1B")]
+    SmolLM2_1B,
+    #[value(name = "SmoLM2-1B-Instruct")]
+    SmolLM2_1BInstruct,
+    #[value(name = "SmoLM2-360M")]
+    SmolLM2_360M,
+    #[value(name = "SmoLM2-360M-Instruct")]
+    SmolLM2_360MInstruct,
+    #[value(name = "SmoLM2-135M")]
+    SmolLM2_135M,
+    #[value(name = "SmoLM2-135M-Instruct")]
+    SmolLM2_135MInstruct,
 }
 
 #[derive(Parser, Debug)]
@@ -134,19 +146,28 @@ fn main() -> Result<()> {
     };
     let (llama, tokenizer_filename, mut cache, config) = {
         let api = Api::new()?;
-        let model_id = args.model_id.unwrap_or_else(|| match args.which {
-            Which::V1 => "Narsil/amall-7b".to_string(),
-            Which::V2 => "meta-llama/Llama-2-7b-hf".to_string(),
-            Which::V3 => "meta-llama/Meta-Llama-3-8B".to_string(),
-            Which::V3Instruct => "meta-llama/Meta-Llama-3-8B-Instruct".to_string(),
-            Which::V31 => "meta-llama/Llama-3.1-8B".to_string(),
-            Which::V31Instruct => "meta-llama/Llama-3.1-8B-Instruct".to_string(),
-            Which::V32_1b => "meta-llama/Llama-3.2-1B".to_string(),
-            Which::V32_1bInstruct => "meta-llama/Llama-3.2-1B-Instruct".to_string(),
-            Which::V32_3b => "meta-llama/Llama-3.2-3B".to_string(),
-            Which::V32_3bInstruct => "meta-llama/Llama-3.2-3B-Instruct".to_string(),
-            Which::Solar10_7B => "upstage/SOLAR-10.7B-v1.0".to_string(),
-            Which::TinyLlama1_1BChat => "TinyLlama/TinyLlama-1.1B-Chat-v1.0".to_string(),
+        let model_id = args.model_id.unwrap_or_else(|| {
+            let str = match args.which {
+                Which::V1 => "Narsil/amall-7b",
+                Which::V2 => "meta-llama/Llama-2-7b-hf",
+                Which::V3 => "meta-llama/Meta-Llama-3-8B",
+                Which::V3Instruct => "meta-llama/Meta-Llama-3-8B-Instruct",
+                Which::V31 => "meta-llama/Llama-3.1-8B",
+                Which::V31Instruct => "meta-llama/Llama-3.1-8B-Instruct",
+                Which::V32_1b => "meta-llama/Llama-3.2-1B",
+                Which::V32_1bInstruct => "meta-llama/Llama-3.2-1B-Instruct",
+                Which::V32_3b => "meta-llama/Llama-3.2-3B",
+                Which::V32_3bInstruct => "meta-llama/Llama-3.2-3B-Instruct",
+                Which::Solar10_7B => "upstage/SOLAR-10.7B-v1.0",
+                Which::TinyLlama1_1BChat => "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
+                Which::SmolLM2_135M => "HuggingFaceTB/SmolLM2-135M",
+                Which::SmolLM2_135MInstruct => "HuggingFaceTB/SmolLM2-135M-Instruct",
+                Which::SmolLM2_360M => "HuggingFaceTB/SmolLM2-360M",
+                Which::SmolLM2_360MInstruct => "HuggingFaceTB/SmolLM2-360M-Instruct",
+                Which::SmolLM2_1B => "HuggingFaceTB/SmolLM2-1.7B",
+                Which::SmolLM2_1BInstruct => "HuggingFaceTB/SmolLM2-1.7B-Instruct",
+            };
+            str.to_string()
         });
         println!("loading the model weights from {model_id}");
         let revision = args.revision.unwrap_or("main".to_string());
@@ -169,7 +190,15 @@ fn main() -> Result<()> {
             | Which::Solar10_7B => {
                 candle_examples::hub_load_safetensors(&api, "model.safetensors.index.json")?
             }
-            Which::V32_1b | Which::V32_1bInstruct | Which::TinyLlama1_1BChat => {
+            Which::SmolLM2_360M
+            | Which::SmolLM2_360MInstruct
+            | Which::SmolLM2_135M
+            | Which::SmolLM2_135MInstruct
+            | Which::SmolLM2_1B
+            | Which::SmolLM2_1BInstruct
+            | Which::V32_1b
+            | Which::V32_1bInstruct
+            | Which::TinyLlama1_1BChat => {
                 vec![api.get("model.safetensors")?]
             }
         };