diff --git a/gallery/index.yaml b/gallery/index.yaml
index 5b43b254..95cd5e6d 100644
--- a/gallery/index.yaml
+++ b/gallery/index.yaml
@@ -200,6 +200,36 @@
     - filename: Qwen3-1.7B.Q4_K_M.gguf
       sha256: ea2aa5f1cce3c8df81ae5fd292a6ed265b8393cc89534dc21fc5327cc974116a
       uri: huggingface://MaziyarPanahi/Qwen3-1.7B-GGUF/Qwen3-1.7B.Q4_K_M.gguf
+- !!merge <<: *qwen3
+  name: "qwen3-0.6b"
+  urls:
+    - https://huggingface.co/Qwen/Qwen3-0.6B
+    - https://huggingface.co/MaziyarPanahi/Qwen3-0.6B-GGUF
+  description: |
+      Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groundbreaking advancements in reasoning, instruction-following, agent capabilities, and multilingual support, with the following key features:
+
+          Uniquely support of seamless switching between thinking mode (for complex logical reasoning, math, and coding) and non-thinking mode (for efficient, general-purpose dialogue) within single model, ensuring optimal performance across various scenarios.
+          Significantly enhancement in its reasoning capabilities, surpassing previous QwQ (in thinking mode) and Qwen2.5 instruct models (in non-thinking mode) on mathematics, code generation, and commonsense logical reasoning.
+          Superior human preference alignment, excelling in creative writing, role-playing, multi-turn dialogues, and instruction following, to deliver a more natural, engaging, and immersive conversational experience.
+          Expertise in agent capabilities, enabling precise integration with external tools in both thinking and unthinking modes and achieving leading performance among open-source models in complex agent-based tasks.
+          Support of 100+ languages and dialects with strong capabilities for multilingual instruction following and translation.
+
+      Qwen3-0.6B has the following features:
+
+          Type: Causal Language Models
+          Training Stage: Pretraining & Post-training
+          Number of Parameters: 0.6B
+          Number of Paramaters (Non-Embedding): 0.44B
+          Number of Layers: 28
+          Number of Attention Heads (GQA): 16 for Q and 8 for KV
+          Context Length: 32,768
+  overrides:
+    parameters:
+      model: Qwen3-0.6B.Q4_K_M.gguf
+  files:
+    - filename: Qwen3-0.6B.Q4_K_M.gguf
+      sha256: dc4503da5d7cc7254055a86cd90e1a8c9d16c6ac71eb3a32b34bf48a1f4e0999
+      uri: huggingface://MaziyarPanahi/Qwen3-0.6B-GGUF/Qwen3-0.6B.Q4_K_M.gguf
 - &gemma3
   url: "github:mudler/LocalAI/gallery/gemma.yaml@master"
   name: "gemma-3-27b-it"