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chore(model gallery): add deepcogito_cogito-v1-preview-llama-70b (#5150)
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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- filename: watt-ai_watt-tool-70B-Q4_K_M.gguf
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sha256: 93806a5482b9e40e50ffca7a72abe3414d384749cc9e3d378eab5db8a8154b18
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uri: huggingface://bartowski/watt-ai_watt-tool-70B-GGUF/watt-ai_watt-tool-70B-Q4_K_M.gguf
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- !!merge <<: *llama33
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name: "deepcogito_cogito-v1-preview-llama-70b"
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icon: https://huggingface.co/deepcogito/cogito-v1-preview-llama-70B/resolve/main/images/deep-cogito-logo.png
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urls:
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- https://huggingface.co/deepcogito/cogito-v1-preview-llama-70B
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- https://huggingface.co/bartowski/deepcogito_cogito-v1-preview-llama-70B-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-70B-Q4_K_M.gguf
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files:
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- filename: deepcogito_cogito-v1-preview-llama-70B-Q4_K_M.gguf
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sha256: d1deaf80c649e2a9446463cf5e1f7c026583647f46e3940d2b405a57cc685225
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uri: huggingface://bartowski/deepcogito_cogito-v1-preview-llama-70B-GGUF/deepcogito_cogito-v1-preview-llama-70B-Q4_K_M.gguf
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- &rwkv
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url: "github:mudler/LocalAI/gallery/rwkv.yaml@master"
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name: "rwkv-6-world-7b"
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