From 7c9e54e55e4106f84688245fb15207f6df917e12 Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Sun, 12 Mar 2023 20:59:01 +0200 Subject: [PATCH] Revert "weights_only" arg - this causing more trouble than help --- README.md | 1 - convert-pth-to-ggml.py | 3 +-- 2 files changed, 1 insertion(+), 3 deletions(-) diff --git a/README.md b/README.md index 1c80d8a33..343786206 100644 --- a/README.md +++ b/README.md @@ -136,7 +136,6 @@ ls ./models 65B 30B 13B 7B tokenizer_checklist.chk tokenizer.model # install Python dependencies -# preferred versions: python 3.10 (not 3.11), torch 1.13.1+ python3 -m pip install torch numpy sentencepiece # convert the 7B model to ggml FP16 format diff --git a/convert-pth-to-ggml.py b/convert-pth-to-ggml.py index ef50fc65a..fc217c7ec 100644 --- a/convert-pth-to-ggml.py +++ b/convert-pth-to-ggml.py @@ -86,8 +86,7 @@ for p in range(n_parts): if (p > 0): fname_out = sys.argv[1] + "/ggml-model-" + ftype_str[ftype] + ".bin" + "." + str(p) - # weights_only requires torch 1.13.1, remove this param or update if you get an "invalid keyword argument" error - model = torch.load(fname_model, map_location="cpu", weights_only=True) + model = torch.load(fname_model, map_location="cpu") fout = open(fname_out, "wb")