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chore(model gallery): add deepcogito_cogito-v1-preview-llama-3b (#5148)
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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@ -2629,6 +2629,27 @@
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- filename: Eximius_Persona_5B.Q4_K_M.gguf
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sha256: 8a8e7a0fa1068755322c51900e53423d795e57976b4d95982242cbec41141c7b
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uri: huggingface://mradermacher/Eximius_Persona_5B-GGUF/Eximius_Persona_5B.Q4_K_M.gguf
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- !!merge <<: *llama32
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name: "deepcogito_cogito-v1-preview-llama-3b"
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icon: https://huggingface.co/deepcogito/cogito-v1-preview-llama-3B/resolve/main/images/deep-cogito-logo.png
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urls:
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- https://huggingface.co/deepcogito/cogito-v1-preview-llama-3B
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- https://huggingface.co/bartowski/deepcogito_cogito-v1-preview-llama-3B-GGUF
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description: |
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The Cogito LLMs are instruction tuned generative models (text in/text out). All models are released under an open license for commercial use.
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Cogito models are hybrid reasoning models. Each model can answer directly (standard LLM), or self-reflect before answering (like reasoning models).
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The LLMs are trained using Iterated Distillation and Amplification (IDA) - an scalable and efficient alignment strategy for superintelligence using iterative self-improvement.
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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.
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In both standard and reasoning modes, Cogito v1-preview models outperform their size equivalent counterparts on common industry benchmarks.
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Each model is trained in over 30 languages and supports a context length of 128k.
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overrides:
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parameters:
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model: deepcogito_cogito-v1-preview-llama-3B-Q4_K_M.gguf
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files:
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- filename: deepcogito_cogito-v1-preview-llama-3B-Q4_K_M.gguf
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sha256: 726a0ef5f818b8d238f2844f3204848bea66fb9c172b8ae0f6dc51b7bc081dd5
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uri: huggingface://bartowski/deepcogito_cogito-v1-preview-llama-3B-GGUF/deepcogito_cogito-v1-preview-llama-3B-Q4_K_M.gguf
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- &qwen25
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name: "qwen2.5-14b-instruct" ## Qwen2.5
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icon: https://avatars.githubusercontent.com/u/141221163
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