metadata

language:
  - en
license: mit
tags:
  - nlp
  - code
base_model: microsoft/Phi-3-mini-4k-instruct
model_name: Phi-3-mini-4k-instruct-GGUF
license_link: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct/resolve/main/LICENSE
pipeline_tag: text-generation
quantized_by: brooketh

The official library of GGUF format models for use in the local AI chat app, Faraday.dev.

Download Faraday here to get started.

Request Additional models at r/LLM_Quants.

Phi 3 mini 4k instruct

Creator: microsoft
Original: Phi 3 mini 4k instruct
Date Created: 2024-04-22
Trained Context: 4096 tokens
Description: (Add description here)

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 Faraday.dev. 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.

Faraday.dev

Free, local AI chat application.
One-click installation on Mac and PC.
Automatically use GPU for maximum speed.
Built-in model manager.
High-quality character hub.
Zero-config desktop-to-mobile tethering. Faraday makes it easy to start chatting with AI using your own characters or one of the many found in the built-in character hub. The model manager helps you find the latest and greatest models without worrying about whether it's the correct format. Faraday supports advanced features such as lorebooks, author's note, text formatting, custom context size, sampler settings, grammars, local TTS, cloud inference, and tethering, all implemented in a way that is straightforward and reliable. Join us on Discord