Add Gemma Tokenizer

examples/tokenizer-playground/src/App.jsx

@@ -70,7 +70,8 @@ function App() {
           <option value="Xenova/gpt-4">gpt-4 / gpt-3.5-turbo / text-embedding-ada-002</option>
           <option value="Xenova/text-davinci-003">text-davinci-003 / text-davinci-002</option>
           <option value="Xenova/gpt-3">gpt-3</option>
-          <option value="hf-internal-testing/llama-tokenizer">LLaMA / Llama 2</option>
+          <option value="Xenova/gemma-tokenizer">Gemma</option>
+          <option value="Xenova/llama-tokenizer">LLaMA / Llama 2</option>
           <option value="Xenova/t5-small">T5</option>
           <option value="Xenova/bert-base-cased">bert-base-cased</option>
         </select>

examples/tokenizer-playground/src/components/Token.jsx

@@ -14,7 +14,7 @@ export function Token({ text, position, margin }) {
             <span
             style={{marginLeft: margin}}
 
-            className={`leading-5 inline-block ${COLOURS[position % COLOURS.length]}`}>
+            className={`leading-5 ${COLOURS[position % COLOURS.length]}`}>
                 {text}
             </span>) : <br />
     )

package.json

@@ -40,7 +40,7 @@
   "dependencies": {
     "onnxruntime-web": "1.14.0",
     "sharp": "^0.32.0",
-    "@huggingface/jinja": "^0.1.0"
+    "@huggingface/jinja": "^0.1.3"
   },
   "optionalDependencies": {
     "onnxruntime-node": "1.14.0"

src/tokenizers.js

@@ -3204,6 +3204,10 @@ export class EsmTokenizer extends PreTrainedTokenizer { }
 
 export class Qwen2Tokenizer extends PreTrainedTokenizer { }
 
+export class GemmaTokenizer extends PreTrainedTokenizer {
+    _default_chat_template = "{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '\n' + message['content'] | trim + '<end_of_turn>\n' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model\n'}}{% endif %}"
+}
+
 /**
  * Helper function to build translation inputs for an `NllbTokenizer` or `M2M100Tokenizer`.
  * @param {PreTrainedTokenizer} self The tokenizer instance.
@@ -4309,6 +4313,7 @@ export class AutoTokenizer {
         NougatTokenizer,
         VitsTokenizer,
         Qwen2Tokenizer,
+        GemmaTokenizer,
 
         // Base case:
         PreTrainedTokenizer,

tests/generate_tests.py

@@ -36,6 +36,9 @@
         # Uses a pretokenizer regex which is not compatible with JavaScript.
         'Qwen/Qwen1.5-0.5B-Chat',
     ],
+    'gemma': [
+        'Xenova/gemma-tokenizer',
+    ],
 }
 
 MODELS_TO_IGNORE = [