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

gallery/index.yaml

@@ -18,7 +18,7 @@
     - gemma3
     - gemma-3
   overrides:
     #mmproj: gemma-3-27b-it-mmproj-f16.gguf
     parameters:
       model: gemma-3-27b-it-Q4_K_M.gguf
   files:
@@ -36,7 +36,7 @@
   description: |
     google/gemma-3-12b-it is an open-source, state-of-the-art, lightweight, multimodal model built from the same research and technology used to create the Gemini models. It is capable of handling text and image input and generating text output. It has a large context window of 128K tokens and supports over 140 languages. The 12B variant has been fine-tuned using the instruction-tuning approach. Gemma 3 models are suitable for a variety of text generation and image understanding tasks, including question answering, summarization, and reasoning. Their relatively small size makes them deployable in environments with limited resources such as laptops, desktops, or your own cloud infrastructure.
   overrides:
     #mmproj: gemma-3-12b-it-mmproj-f16.gguf
     parameters:
       model: gemma-3-12b-it-Q4_K_M.gguf
   files:
@@ -54,7 +54,7 @@
   description: |
     Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models. Gemma 3 models are multimodal, handling text and image input and generating text output, with open weights for both pre-trained variants and instruction-tuned variants. Gemma 3 has a large, 128K context window, multilingual support in over 140 languages, and is available in more sizes than previous versions. Gemma 3 models are well-suited for a variety of text generation and image understanding tasks, including question answering, summarization, and reasoning. Their relatively small size makes it possible to deploy them in environments with limited resources such as laptops, desktops or your own cloud infrastructure, democratizing access to state of the art AI models and helping foster innovation for everyone. Gemma-3-4b-it is a 4 billion parameter model.
   overrides:
     #mmproj: gemma-3-4b-it-mmproj-f16.gguf
     parameters:
       model: gemma-3-4b-it-Q4_K_M.gguf
   files:
@@ -2630,7 +2630,7 @@
       sha256: 8a8e7a0fa1068755322c51900e53423d795e57976b4d95982242cbec41141c7b
       uri: huggingface://mradermacher/Eximius_Persona_5B-GGUF/Eximius_Persona_5B.Q4_K_M.gguf
 - &qwen25
   name: "qwen2.5-14b-instruct" ## Qwen2.5
   icon: https://avatars.githubusercontent.com/u/141221163
   url: "github:mudler/LocalAI/gallery/chatml.yaml@master"
   license: apache-2.0
@@ -4591,7 +4591,7 @@
       sha256: 0fec82625f74a9a340837de7af287b1d9042e5aeb70cda2621426db99958b0af
       uri: huggingface://bartowski/Chuluun-Qwen2.5-72B-v0.08-GGUF/Chuluun-Qwen2.5-72B-v0.08-Q4_K_M.gguf
 - &smollm
   url: "github:mudler/LocalAI/gallery/chatml.yaml@master" ## SmolLM
   name: "smollm-1.7b-instruct"
   icon: https://huggingface.co/datasets/HuggingFaceTB/images/resolve/main/banner_smol.png
   tags:
@@ -5774,8 +5774,28 @@
     - 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
   name: "meta-llama-3.1-8b-instruct"
   license: llama3.1
@@ -7936,7 +7956,7 @@
       sha256: 25db6d4ae5649e6d2084036d8f05ec1aca459126e2d4734d6c18f1e16147a4d3
       uri: huggingface://mradermacher/Llama-3.3-MagicalGirl-2.5-i1-GGUF/Llama-3.3-MagicalGirl-2.5.i1-Q4_K_M.gguf
 - &deepseek
   url: "github:mudler/LocalAI/gallery/deepseek.yaml@master" ## Deepseek
   name: "deepseek-coder-v2-lite-instruct"
   icon: "https://avatars.githubusercontent.com/u/148330874"
   license: deepseek
@@ -8001,7 +8021,7 @@
       sha256: a47782c55ef2b39b19644213720a599d9849511a73c9ebb0c1de749383c0a0f8
       uri: huggingface://RichardErkhov/ContextualAI_-_archangel_sft_pythia2-8b-gguf/archangel_sft_pythia2-8b.Q4_K_M.gguf
 - &deepseek-r1
   url: "github:mudler/LocalAI/gallery/deepseek-r1.yaml@master" ## Start DeepSeek-R1
   name: "deepseek-r1-distill-qwen-1.5b"
   icon: "https://avatars.githubusercontent.com/u/148330874"
   urls: