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chore(model gallery): add triangulum-10b (#4546)

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Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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Ettore Di Giacinto 2025-01-06 10:42:45 +01:00 committed by GitHub
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gallery/index.yaml
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@ -9309,6 +9309,29 @@
- filename: Bio-Medical-Llama-3-8B.Q4_K_M.gguf
sha256: 672939e0487d02c55734132c25a59f26e4deaac7cd49445a7028f2291139edcc
uri: huggingface://QuantFactory/Bio-Medical-Llama-3-8B-GGUF/Bio-Medical-Llama-3-8B.Q4_K_M.gguf
- !!merge <<: *llama3
name: "triangulum-10b"
icon: https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/By0OJ1lMvP5ZvVvfEGvz5.png
urls:
- https://huggingface.co/prithivMLmods/Triangulum-10B
- https://huggingface.co/mradermacher/Triangulum-10B-GGUF
description: |
Triangulum 10B is a collection of pretrained and instruction-tuned generative models, designed for multilingual applications. These models are trained using synthetic datasets based on long chains of thought, enabling them to perform complex reasoning tasks effectively.
Key Features
Foundation Model: Built upon LLaMA's autoregressive language model, leveraging an optimized transformer architecture for enhanced performance.
Instruction Tuning: Includes supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to align model outputs with human preferences for helpfulness and safety.
Multilingual Support: Designed to handle multiple languages, ensuring broad applicability across diverse linguistic contexts.
Training Approach
Synthetic Datasets: Utilizes long chain-of-thought synthetic data to enhance reasoning capabilities.
Supervised Fine-Tuning (SFT): Aligns the model to specific tasks through curated datasets.
Reinforcement Learning with Human Feedback (RLHF): Ensures the model adheres to human values and safety guidelines through iterative training processes.
overrides:
parameters:
model: Triangulum-10B.Q4_K_M.gguf
files:
- filename: Triangulum-10B.Q4_K_M.gguf
sha256: dd071f99edf6b166044bf229cdeec19419c4c348e3fc3d6587cfcc55e6fb85fa
uri: huggingface://mradermacher/Triangulum-10B-GGUF/Triangulum-10B.Q4_K_M.gguf
- &command-R
### START Command-r
url: "github:mudler/LocalAI/gallery/command-r.yaml@master"