diff --git a/gallery/index.yaml b/gallery/index.yaml
index d5eaa232..d2141f8f 100644
--- a/gallery/index.yaml
+++ b/gallery/index.yaml
@@ -442,6 +442,36 @@
     - filename: Smoothie-Qwen3-8B.Q4_K_M.gguf
       sha256: 36fc6df285c35beb8f1fdb46b3854bc4f420d3600afa397bf6a89e2ce5480112
       uri: huggingface://mradermacher/Smoothie-Qwen3-8B-GGUF/Smoothie-Qwen3-8B.Q4_K_M.gguf
+- !!merge <<: *qwen3
+  name: "qwen3-30b-a1.5b-high-speed"
+  icon: https://huggingface.co/DavidAU/Qwen3-30B-A1.5B-High-Speed/resolve/main/star-wars-hans-solo.gif
+  urls:
+    - https://huggingface.co/DavidAU/Qwen3-30B-A1.5B-High-Speed
+    - https://huggingface.co/mradermacher/Qwen3-30B-A1.5B-High-Speed-GGUF
+  description: |
+        This repo contains the full precision source code, in "safe tensors" format to generate GGUFs, GPTQ, EXL2, AWQ, HQQ and other formats. The source code can also be used directly.
+
+        This is a simple "finetune" of the Qwen's "Qwen 30B-A3B" (MOE) model, setting the experts in use from 8 to 4 (out of 128 experts).
+
+        This method close to doubles the speed of the model and uses 1.5B (of 30B) parameters instead of 3B (of 30B) parameters. Depending on the application you may want to use the regular model ("30B-A3B"), and use this model for simpler use case(s) although I did not notice any loss of function during routine (but not extensive) testing.
+
+        Example generation (Q4KS, CPU) at the bottom of this page using 4 experts / this model.
+
+        More complex use cases may benefit from using the normal version.
+
+        For reference:
+
+            Cpu only operation Q4KS (windows 11) jumps from 12 t/s to 23 t/s.
+            GPU performance IQ3S jumps from 75 t/s to over 125 t/s. (low to mid level card)
+
+        Context size: 32K + 8K for output (40k total)
+  overrides:
+    parameters:
+      model: Qwen3-30B-A1.5B-High-Speed.Q4_K_M.gguf
+  files:
+    - filename: Qwen3-30B-A1.5B-High-Speed.Q4_K_M.gguf
+      sha256: 2fca25524abe237483de64599bab54eba8fb22088fc21e30ba45ea8fb04dd1e0
+      uri: huggingface://mradermacher/Qwen3-30B-A1.5B-High-Speed-GGUF/Qwen3-30B-A1.5B-High-Speed.Q4_K_M.gguf
 - &gemma3
   url: "github:mudler/LocalAI/gallery/gemma.yaml@master"
   name: "gemma-3-27b-it"