NeuralBeagle14-7B-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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NeuralBeagle14 7B

• Creator: [Maxime Labonne](https://huggingface.co/Maxime Labonne/)
• Original: NeuralBeagle14 7B
• Date Created: 2024-01-15
• Trained Context: 8192 tokens
• Description: DPO finetune of the author's earlier Beagle14-7B model. Compared to other 7B models, it displays good performance in instruction following and reasoning tasks. It can also be used for RP and storytelling.

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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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