FEATURE: Add Qwen3 tokenizer and update Gemma to version 3 (#1440)

app/models/embedding_definition.rb

@@ -24,6 +24,7 @@ class EmbeddingDefinition < ActiveRecord::Base
         DiscourseAi::Tokenizer::MultilingualE5LargeTokenizer,
         DiscourseAi::Tokenizer::OpenAiTokenizer,
         DiscourseAi::Tokenizer::MixtralTokenizer,
+        DiscourseAi::Tokenizer::QwenTokenizer,
       ].map(&:name)
     end
 

lib/tokenizer/basic_tokenizer.rb

@@ -11,6 +11,7 @@ module DiscourseAi
             DiscourseAi::Tokenizer::Llama3Tokenizer,
             DiscourseAi::Tokenizer::MixtralTokenizer,
             DiscourseAi::Tokenizer::OpenAiTokenizer,
+            DiscourseAi::Tokenizer::QwenTokenizer,
           ]
         end
 

lib/tokenizer/gemini_tokenizer.rb

@@ -4,7 +4,7 @@ module DiscourseAi
   module Tokenizer
     class GeminiTokenizer < BasicTokenizer
       def self.tokenizer
-        @@tokenizer ||= Tokenizers.from_file("./plugins/discourse-ai/tokenizers/gemma2.json")
+        @@tokenizer ||= Tokenizers.from_file("./plugins/discourse-ai/tokenizers/gemma3.json")
       end
     end
   end

lib/tokenizer/qwen_tokenizer.rb

@@ -0,0 +1,11 @@
+# frozen_string_literal: true
+
+module DiscourseAi
+  module Tokenizer
+    class QwenTokenizer < BasicTokenizer
+      def self.tokenizer
+        @@tokenizer ||= Tokenizers.from_file("./plugins/discourse-ai/tokenizers/qwen3.json")
+      end
+    end
+  end
+end

spec/shared/tokenizer_spec.rb

@@ -257,3 +257,32 @@ describe DiscourseAi::Tokenizer::GeminiTokenizer do
     end
   end
 end
+
+describe DiscourseAi::Tokenizer::QwenTokenizer do
+  describe "#size" do
+    describe "returns a token count" do
+      it "for a sentence with punctuation and capitalization and numbers" do
+        expect(described_class.size("Hello, World! 123")).to eq(8)
+      end
+    end
+  end
+
+  describe "#truncate" do
+    it "truncates a sentence" do
+      sentence = "foo bar baz qux quux corge grault garply waldo fred plugh xyzzy thud"
+      expect(described_class.truncate(sentence, 3)).to eq("foo bar baz")
+    end
+
+    it "truncates a sentence successfully at a multibyte unicode character" do
+      sentence = "foo bar 👨🏿‍👩🏿‍👧🏿‍👧🏿 baz qux quux corge grault garply waldo fred plugh xyzzy thud"
+      expect(described_class.truncate(sentence, 8)).to eq("foo bar 👨🏿‍👩")
+    end
+
+    it "truncates unicode characters properly when they use more than one token per char" do
+      sentence = "我喜欢吃比萨"
+      original_size = described_class.size(sentence)
+      expect(described_class.size(described_class.truncate(sentence, original_size - 2))).to be <
+        original_size
+    end
+  end
+end

tokenizers/README.md

@@ -34,6 +34,10 @@ Licensed under MIT License
 
 Licensed under META LLAMA 3 COMMUNITY LICENSE
 
-## Gemma 2
+## Gemma 3
 
 Licensed under the [Gemma Terms of Use](https://ai.google.dev/gemma/terms)
+
+## Qwen 3
+
+Licensed under the Apache 2.0 License