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chore(model gallery): add deepcogito_cogito-v1-preview-qwen-32b (#5149)

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Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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Ettore Di Giacinto 2025-04-09 16:48:15 +02:00 • committed by GitHub
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gallery/index.yaml
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@ -5815,6 +5815,27 @@
- 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
- !!merge <<: *qwen25
name: "deepcogito_cogito-v1-preview-qwen-32b"
icon: https://huggingface.co/deepcogito/cogito-v1-preview-qwen-32B/resolve/main/images/deep-cogito-logo.png
urls:
- https://huggingface.co/deepcogito/cogito-v1-preview-qwen-32B
- https://huggingface.co/bartowski/deepcogito_cogito-v1-preview-qwen-32B-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: deepcogito_cogito-v1-preview-qwen-32B-Q4_K_M.gguf
files:
- filename: deepcogito_cogito-v1-preview-qwen-32B-Q4_K_M.gguf
sha256: 985f2d49330090e64603309f7eb61030769f25a5da027ac0b0a740858d087ad8
uri: huggingface://bartowski/deepcogito_cogito-v1-preview-qwen-32B-GGUF/deepcogito_cogito-v1-preview-qwen-32B-Q4_K_M.gguf
- &llama31
url: "github:mudler/LocalAI/gallery/llama3.1-instruct.yaml@master" ## LLama3.1
icon: https://avatars.githubusercontent.com/u/153379578