From 57931c230a0878905d67170b47f7edc8119dc6e0 Mon Sep 17 00:00:00 2001 From: Ettore Di Giacinto Date: Tue, 8 Apr 2025 22:00:39 +0200 Subject: [PATCH] chore(model gallery): add cogito-v1-preview-qwen-14b Signed-off-by: Ettore Di Giacinto --- gallery/index.yaml | 20 ++++++++++++++++++++ 1 file changed, 20 insertions(+) diff --git a/gallery/index.yaml b/gallery/index.yaml index 96caade1b18a..4fa84b1df25e 100644 --- a/gallery/index.yaml +++ b/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