From 2075cd33803bdd2689aa52ddecd6486e4660d010 Mon Sep 17 00:00:00 2001 From: Erjan Kalybek Date: Tue, 8 Aug 2023 17:25:46 +0200 Subject: [PATCH] Fix readme typo (#12) --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index d61c2de..a4457c4 100644 --- a/README.md +++ b/README.md @@ -75,7 +75,7 @@ cmake --build . --config Release #### Option 1: Download pre-quantized MiniGPT4 model -Pre-quantized models are avaliable on Hugging Face ~ [7B](https://huggingface.co/datasets/maknee/minigpt4-7b-ggml/tree/main) or [13B](https://huggingface.co/datasets/maknee/minigpt4-13b-ggml/tree/main). +Pre-quantized models are available on Hugging Face ~ [7B](https://huggingface.co/datasets/maknee/minigpt4-7b-ggml/tree/main) or [13B](https://huggingface.co/datasets/maknee/minigpt4-13b-ggml/tree/main). Recommended for reliable results, but slow inference speed: [minigpt4-13B-f16.bin](https://huggingface.co/datasets/maknee/minigpt4-13b-ggml/blob/main/minigpt4-13B-f16.bin) @@ -129,7 +129,7 @@ python convert.py ~/Downloads/pretrained_minigpt4.pth --outtype f16 #### Option 1: Download pre-quantized vicuna-v0 model -Pre-quantized models are avaliable on [Hugging Face](https://huggingface.co/datasets/maknee/ggml-vicuna-v0-quantized/tree/main) +Pre-quantized models are available on [Hugging Face](https://huggingface.co/datasets/maknee/ggml-vicuna-v0-quantized/tree/main) Recommended for reliable results and decent inference speed: [ggml-vicuna-13B-v0-q5_k.bin](https://huggingface.co/datasets/maknee/ggml-vicuna-v0-quantized/blob/main/ggml-vicuna-13B-v0-q5_k.bin)