Phi-3-mini-4k-instruct-GGUF

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<p style="text-align: center;">The official library of GGUF format models for use in the local AI chat app, Backyard AI.</p>

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Phi 3 mini 4k instruct

• Creator: microsoft
• Original: Phi 3 mini 4k instruct
• Date Created: 2024-04-22
• Trained Context: 4096 tokens
• Description: State-of-the-art lightweight open model from Microsoft, trained with the Phi-3 datasets. These include both synthetic data and filtered publicly available websites data with a focus on high-quality and reasoning dense properties.

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What is a GGUF?

GGUF is a large language model (LLM) format that can be split between CPU and GPU. GGUFs are compatible with applications based on llama.cpp, such as Backyard AI. Where other model formats require higher end GPUs with ample VRAM, GGUFs can be efficiently run on a wider variety of hardware. GGUF models are quantized to reduce resource usage, with a tradeoff of reduced coherence at lower quantizations. Quantization reduces the precision of the model weights by changing the number of bits used for each weight.

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• Free, local AI chat application.
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