Sublime
An inspiration engine for ideas
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Large Language Models
Matt Mower • 9 cards
Frameworks
Joe Maceda • 12 cards
slowllama
Fine-tune Llama2 and CodeLLama models, including 70B/35B on Apple M1/M2 devices (for example, Macbook Air or Mac Mini) or consumer nVidia GPUs.
slowllama is not using any quantization. Instead, it offloads parts of model to SSD or main memory on both forward/backward passes. In contrast with training large models from scratch (unattainable... See more
Fine-tune Llama2 and CodeLLama models, including 70B/35B on Apple M1/M2 devices (for example, Macbook Air or Mac Mini) or consumer nVidia GPUs.
slowllama is not using any quantization. Instead, it offloads parts of model to SSD or main memory on both forward/backward passes. In contrast with training large models from scratch (unattainable... See more
okuvshynov • GitHub - okuvshynov/slowllama: Finetune llama2-70b and codellama on MacBook Air without quantization
Complexity Science
Lucas Jackson and • 9 cards
baserun.ai💪💪💪
Testing & Observability Platform for LLM Apps
From prompt playground to end-to-end tests, baserun helps you ship your LLM apps with confidence and speed.
Testing framework for LLM Part
On-Chain
Andrew McCluskey • 8 cards
Tools
Diane • 8 cards