chore(model gallery): add cogito-v1-preview-qwen-14b (#5145)

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

Author: mudler

gallery/index.yaml

@@ -5774,6 +5774,26 @@
     - filename: Mensa-Beta-14B-Instruct.i1-Q4_K_M.gguf
       sha256: 86ccd640d72dcf3129fdd5b94381a733a684672b22487784e388b2ee9de57760
       uri: huggingface://mradermacher/Mensa-Beta-14B-Instruct-i1-GGUF/Mensa-Beta-14B-Instruct.i1-Q4_K_M.gguf
+- !!merge <<: *qwen25
+  name: "mensa-beta-14b-instruct-i1"
+  icon: https://huggingface.co/deepcogito/cogito-v1-preview-qwen-14B/resolve/main/images/deep-cogito-logo.png
+  urls:
+    - https://huggingface.co/deepcogito/cogito-v1-preview-qwen-14B
+    - https://huggingface.co/NikolayKozloff/cogito-v1-preview-qwen-14B-Q4_K_M-GGUF
+  description: |
+      The Cogito LLMs are instruction tuned generative models (text in/text out). All models are released under an open license for commercial use.
+      Cogito models are hybrid reasoning models. Each model can answer directly (standard LLM), or self-reflect before answering (like reasoning models).
+      The LLMs are trained using Iterated Distillation and Amplification (IDA) - an scalable and efficient alignment strategy for superintelligence using iterative self-improvement.
+      The models have been optimized for coding, STEM, instruction following and general helpfulness, and have significantly higher multilingual, coding and tool calling capabilities than size equivalent counterparts.
+          In both standard and reasoning modes, Cogito v1-preview models outperform their size equivalent counterparts on common industry benchmarks.
+      Each model is trained in over 30 languages and supports a context length of 128k.
+  overrides:
+    parameters:
+      model: cogito-v1-preview-qwen-14b-q4_k_m.gguf
+  files:
+    - filename: cogito-v1-preview-qwen-14b-q4_k_m.gguf
+      sha256: 42ddd667bac3e5f0989f52b3dca5767ed15d0e5077c6f537e4b3873862ff7096
+      uri: huggingface://NikolayKozloff/cogito-v1-preview-qwen-14B-Q4_K_M-GGUF/cogito-v1-preview-qwen-14b-q4_k_m.gguf
 - &llama31
   url: "github:mudler/LocalAI/gallery/llama3.1-instruct.yaml@master" ## LLama3.1
   icon: https://avatars.githubusercontent.com/u/153379578