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Resources
Build Your Own Timeline Algorithm: A Blueprint
Timeline algorithms should be useful for people, not for companies. Their quality should not be evaluated in terms of how much time people spend on a platform, but rather in terms of how well they serve their users’ purposes.
Mozilla.ai
More Blueprints
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Finetune an LLM using Federated AI
This Blueprint demonstrates how to finetune LLMs using federated AI with Flower, enabling collaboration on private datasets without sharing raw data
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Map Features in OpenStreetMap with Computer Vision
This Blueprint shows you how to fine-tune an object detection model to map features in OpenStreetMap, with human verification.
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Finetune a speech recognition model for your voice
This Blueprint demonstrates how to fine-tune a Speech-To-Text model in your own language using CommonVoice data and your own voice data.
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This week in Open Source
Stay informed with the latest news, trends, and breakthroughs on open-source development.
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News
Mistral’s open model outsmarts GPT-4o mini with fewer parameters
Mistral Small 3.1 outperforms OpenAI's GPT-4o Mini while maintaining efficiency and accessibility.
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Sesame releases its base AI model, CSM-1B
Sesame has open-sourced its 1B-parameter model, which powers its viral voice assistant, Maya.
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Pruna AI open sources its AI model optimization framework
The European startup has been working on compression algorithms for AI models.
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Microsoft releases RD-Agent
An open-source tool that automates R&D with LLM-based autonomous evolving agents.
Trending in the Hub this week
Explore the open-source resources we use to build our Blueprints.
Tools
Datasets
Common Voice
A multilingual, crowdsourced collection of voice recordings from Mozilla.
Alpaca-gpt4
This dataset contains English Instruction-Following generated by GPT-4 using Alpaca prompts for fine-tuning LLMs.
Models
OuteTTS-0.1-350M
OuteTTS-0.1-350M is a novel text-to-speech synthesis model.
Qwen2.5-3B-Instruct-GGUF
Qwen2.5-3B-Instruct-GGUF is an instruction-tuned model that generates long-form content, and is optimized for efficient deployment via the GGUF format.
Kokoro-82M
Kokoro is an open-weight TTS model with 82 million parameters.
