Add SmolLM3

lib/bumblebee.ex

@@ -188,6 +188,11 @@ defmodule Bumblebee do
     "RobertaForTokenClassification" => {Bumblebee.Text.Roberta, :for_token_classification},
     "RobertaForCausalLM" => {Bumblebee.Text.Roberta, :for_causal_language_modeling},
     "RobertaModel" => {Bumblebee.Text.Roberta, :base},
+    "SmolLM3" => {Bumblebee.Text.SmolLM3, :base},
+    "SmolLM3ForCausalLM" => {Bumblebee.Text.SmolLM3, :for_causal_language_modeling},
+    "SmolLM3ForQuestionAnswering" => {Bumblebee.Text.SmolLM3, :for_question_answering},
+    "SmolLM3ForSequenceClassification" => {Bumblebee.Text.SmolLM3, :for_sequence_classification},
+    "SmolLM3ForTokenClassification" => {Bumblebee.Text.SmolLM3, :for_token_classification},
     "SwinModel" => {Bumblebee.Vision.Swin, :base},
     "SwinForImageClassification" => {Bumblebee.Vision.Swin, :for_image_classification},
     "T5Model" => {Bumblebee.Text.T5, :base},
@@ -254,6 +259,7 @@ defmodule Bumblebee do
     "phi" => :code_gen,
     "phi3" => :llama,
     "roberta" => :roberta,
+    "smollm3" => :smollm3,
     "t5" => :t5,
     "whisper" => :whisper,
     "xlm-roberta" => :xlm_roberta,

lib/bumblebee/layers/transformer.ex

@@ -21,6 +21,10 @@ defmodule Bumblebee.Layers.Transformer do
       is configured, this option controls whether the bias from the
       first block is used for all other blocks. Defaults to `false`
 
+    * `:rotary_embedding` - configuration of rotary embedding. Can be:
+      - a keyword list (applied to all blocks)
+      - a function that takes the block index and returns the configuration
+
     * `:name` - the prefix for layer names
 
   For all other options (including required options) see `block/2`.
@@ -49,8 +53,7 @@ defmodule Bumblebee.Layers.Transformer do
       :layer_norm,
       :block_type,
       :attention_window_size,
-      :scale_attention_weights,
-      :rotary_embedding
+      :scale_attention_weights
     ]
 
     opts =
@@ -60,6 +63,7 @@ defmodule Bumblebee.Layers.Transformer do
           [
             :name,
             :num_blocks,
+            :rotary_embedding,
             attention_mask: Layers.none(),
             attention_head_mask: Layers.none(),
             attention_relative_bias: nil,
@@ -80,6 +84,7 @@ defmodule Bumblebee.Layers.Transformer do
     cross_attention_mask = opts[:cross_attention_mask]
     cross_attention_head_mask = opts[:cross_attention_head_mask]
     cache = opts[:cache]
+    rotary_embedding = opts[:rotary_embedding]
 
     block_opts = Keyword.take(opts, block_opts_keys)
 
@@ -109,6 +114,13 @@ defmodule Bumblebee.Layers.Transformer do
               opts[:attention_relative_bias] || Layers.none()
             end
 
+          block_rotary_embedding =
+            case rotary_embedding do
+              nil -> nil
+              fun when is_function(fun, 1) -> fun.(idx)
+              config when is_list(config) -> config
+            end
+
           {hidden_state, attention, cross_attention, block_cache, attention_relative_bias} =
             block(
               state.hidden_state,
@@ -121,6 +133,7 @@ defmodule Bumblebee.Layers.Transformer do
                 cross_attention_head_mask: block_cross_attention_head_mask,
                 block_cache: block_cache,
                 offset: offset,
+                rotary_embedding: block_rotary_embedding,
                 name: join(name, idx)
               ] ++ block_opts
             )

lib/bumblebee/text/pre_trained_tokenizer.ex

@@ -211,6 +211,12 @@ defmodule Bumblebee.Text.PreTrainedTokenizer do
         mask: "<mask>"
       }
     },
+    smollm3: %{
+      special_tokens: %{
+        eos: "<|im_end|>",
+        pad: "<|im_end|>"
+      }
+    },
     t5: %{
       special_tokens: %{
         bos: "<s>",