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Official repository to use and implement LLaMA 3.1 models, Meta's state-of-the-art large language models.
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Models.dev is a GitHub repository or organization with source code, releases, documentation, or project resources.
Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.
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A curated list of machine learning models in CoreML format.
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Curated list of top Hugging Face models for NLP, vision, and audio tasks with demos and benchmarks.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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A Julia package for fitting (statistical) mixed-effects models.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Accessible large language models via k-bit quantization for PyTorch.
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"Tips and tricks for working with Large Language Models like OpenAI's GPT-4".
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FastEdit aims to assist developers with injecting fresh and customized knowledge into large language models efficiently using one single command.
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Running large language models on a single GPU for throughput-oriented scenarios. (Archived).
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"a collaborative benchmark intended to probe large language models and extrapolate their future capabilities".
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A series of open-source MoE language models by Moonshot AI for agentic tasks. opensource.
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The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models.
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UI tool for fine-tuning and testing your own LoRA models base on LLaMA, GPT-J and more. One-click run on Google Colab. + A Gradio ChatGPT-like Chat UI to demonstrate your language models.
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Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"s.
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Semantic search and workflows powered by language models.
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Serve Llama 2 and other large language models locally from command line or through a browser interface.
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Open platform for operating large language models (LLMs) in production. Fine-tune, serve, deploy, and monitor any LLMs with ease.
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Benchmarking Large Language Models.
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AI-generated visualization prototyping and editing platform, support 2D, 3D models, combined with LLM(Large Language Model) for quick editing.
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StableLM: Stability AI Language Models.