chore(model gallery): add shuttleai_shuttle-3.5 (#5297)

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

gallery/index.yaml

@@ -356,6 +356,36 @@
     - filename: Furina-8B.Q4_K_M.gguf
       sha256: 8f0e825eca83b54eeff60b1b46c8b504de1777fe2ff10f83f12517982ae93cb3
       uri: huggingface://mradermacher/Furina-8B-GGUF/Furina-8B.Q4_K_M.gguf
+- !!merge <<: *qwen3
+  name: "shuttleai_shuttle-3.5"
+  icon: https://storage.shuttleai.com/shuttle-3.5.png
+  urls:
+    - https://huggingface.co/shuttleai/shuttle-3.5
+    - https://huggingface.co/bartowski/shuttleai_shuttle-3.5-GGUF
+  description: |
+      A fine-tuned version of Qwen3 32b, emulating the writing style of Claude 3 models and thoroughly trained on role-playing data.
+
+          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.
+      Shuttle 3.5 has the following features:
+
+          Type: Causal Language Models
+          Training Stage: Pretraining & Post-training
+          Number of Parameters: 32.8B
+          Number of Paramaters (Non-Embedding): 31.2B
+          Number of Layers: 64
+          Number of Attention Heads (GQA): 64 for Q and 8 for KV
+          Context Length: 32,768 natively and 131,072 tokens with YaRN.
+  overrides:
+    parameters:
+      model: shuttleai_shuttle-3.5-Q4_K_M.gguf
+  files:
+    - filename: shuttleai_shuttle-3.5-Q4_K_M.gguf
+      sha256: c5defd3b45aa5f9bf56ce379b6346f99684bfddfe332329e91cfab2853015374
+      uri: huggingface://bartowski/shuttleai_shuttle-3.5-GGUF/shuttleai_shuttle-3.5-Q4_K_M.gguf
 - &gemma3
   url: "github:mudler/LocalAI/gallery/gemma.yaml@master"
   name: "gemma-3-27b-it"