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chore(model gallery): add rubenroy_gilgamesh-72b (#4764)

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Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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Ettore Di Giacinto 2025-02-05 10:13:21 +01:00 committed by GitHub
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gallery/index.yaml
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@ -3554,6 +3554,27 @@
- filename: fblgit_miniclaus-qw1.5B-UNAMGS-GRPO-Q4_K_M.gguf
sha256: 88ceacc5900062bc2afc352f009233225b0fe10203cbb61b122e8f10244449c8
uri: huggingface://bartowski/fblgit_miniclaus-qw1.5B-UNAMGS-GRPO-GGUF/fblgit_miniclaus-qw1.5B-UNAMGS-GRPO-Q4_K_M.gguf
- !!merge <<: *qwen25
name: "rubenroy_gilgamesh-72b"
icon: https://cdn.ruben-roy.com/AI/Gilgamesh/img/art.png
urls:
- https://huggingface.co/rubenroy/Gilgamesh-72B
- https://huggingface.co/bartowski/rubenroy_Gilgamesh-72B-GGUF
description: |
Gilgamesh 72B was trained on a mixture of specialised datasets designed for factual accuracy, mathematical capabilities and reasoning. The datasets used include:
GammaCorpus-v2-5m: A large 5 million line general-purpose dataset covering many topics to enhance broad knowledge and conversational abilities.
GammaCorpus-CoT-Math-170k: A dataset focused on Chain-of-Thought (CoT) reasoning in mathematics made to help the model improve step-by-step problem-solving.
GammaCorpus-Fact-QA-450k: A dataset containing factual question-answer pairs for enforcing some important current knowledge.
These datasets were all built and curated by me, however I thank my other team members at Ovantage Labs for assisting me in the creation and curation of these datasets.
overrides:
parameters:
model: rubenroy_Gilgamesh-72B-Q4_K_M.gguf
files:
- filename: rubenroy_Gilgamesh-72B-Q4_K_M.gguf
sha256: c6842b3bc882082c63243e762234ae697c1727bebed18b5241eb97e019f0cf68
uri: huggingface://bartowski/rubenroy_Gilgamesh-72B-GGUF/rubenroy_Gilgamesh-72B-Q4_K_M.gguf
- &llama31
url: "github:mudler/LocalAI/gallery/llama3.1-instruct.yaml@master" ## LLama3.1
icon: https://avatars.githubusercontent.com/u/153379578