From 0bbfc5eb624b4b27cbc64709f6eca8587b8acc53 Mon Sep 17 00:00:00 2001 From: Yagil Burowski Date: Wed, 31 Jul 2024 20:56:14 -0400 Subject: [PATCH] Update phi-3 quant (#89) --- models/{phi-3.json => phi-3.1-mini-4k.json} | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) rename models/{phi-3.json => phi-3.1-mini-4k.json} (65%) diff --git a/models/phi-3.json b/models/phi-3.1-mini-4k.json similarity index 65% rename from models/phi-3.json rename to models/phi-3.1-mini-4k.json index ab7adb7..a703ca5 100644 --- a/models/phi-3.json +++ b/models/phi-3.1-mini-4k.json @@ -1,8 +1,8 @@ { "_descriptorVersion": "0.0.1", "datePublished": "2024-07-02T14:09:26", - "name": "Phi 3", - "description": "The Phi-3-Mini-4K-Instruct is a 3.8B parameters, lightweight, state-of-the-art open model trained with the Phi-3 datasets that includes both synthetic data and the filtered publicly available websites data with a focus on high-quality and reasoning dense properties.", + "name": "Phi 3 mini 4k Instruct", + "description": "Phi-3-Mini-4K-Instruct is a 3.8B parameters, lightweight, state-of-the-art open model trained with the Phi-3 datasets that includes both synthetic data and the filtered publicly available websites data with a focus on high-quality and reasoning dense properties.", "author": { "name": "Microsoft Research", "url": "https://www.microsoft.com/en-us/research/", @@ -18,17 +18,17 @@ "files": { "highlighted": { "economical": { - "name": "Phi-3.1-mini-4k-instruct-Q5_K_M.gguf" + "name": "Phi-3.1-mini-4k-instruct-Q4_K_M.gguf" } }, "all": [ { - "name": "Phi-3.1-mini-4k-instruct-Q5_K_M.gguf", - "url": "https://huggingface.co/lmstudio-community/Phi-3.1-mini-4k-instruct-GGUF/resolve/main/Phi-3.1-mini-4k-instruct-Q5_K_M.gguf", - "sizeBytes": 2815275232, - "quantization": "Q5_K_M", + "name": "Phi-3.1-mini-4k-instruct-Q4_K_M.gguf", + "url": "https://huggingface.co/lmstudio-community/Phi-3.1-mini-4k-instruct-GGUF/resolve/main/Phi-3.1-mini-4k-instruct-Q4_K_M.gguf", + "sizeBytes": 2393232096, + "quantization": "Q4_K_M", "format": "gguf", - "sha256checksum": "bb076f8f9e6c188a8251c626e4d89442c291215c82b2cb06e1efed0941fc443a", + "sha256checksum": "d6d25bf078321bea4a079c727b273cb0b5a2e0b4cf3add0f7a2c8e43075c414f", "publisher": { "name": "lmstudio-community", "socialUrl": "https://twitter.com/LMStudioAI"