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author | Thatcher Chamberlin <j.thatcher.c@gmail.com> | 2023-04-02 06:48:57 -0400 |
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committer | GitHub <noreply@github.com> | 2023-04-02 12:48:57 +0200 |
commit | d8d4e865cd481b18f10508ffee35db903767ef5c (patch) | |
tree | d7daf6d7a68c499825aa6b80489707d297b76684 | |
parent | e986f94829bae0b9e66b326acbbba179931c84f1 (diff) |
Add a missing step to the gpt4all instructions (#690)
`migrate-ggml-2023-03-30-pr613.py` is needed to get gpt4all running.
-rw-r--r-- | README.md | 6 |
1 files changed, 4 insertions, 2 deletions
@@ -232,13 +232,15 @@ cadaver, cauliflower, cabbage (vegetable), catalpa (tree) and Cailleach. - Obtain the `gpt4all-lora-quantized.bin` model - It is distributed in the old `ggml` format which is now obsoleted -- You have to convert it to the new format using [./convert-gpt4all-to-ggml.py](./convert-gpt4all-to-ggml.py): +- You have to convert it to the new format using [./convert-gpt4all-to-ggml.py](./convert-gpt4all-to-ggml.py). You may also need to +convert the model from the old format to the new format with [./migrate-ggml-2023-03-30-pr613.py](./migrate-ggml-2023-03-30-pr613.py): ```bash python3 convert-gpt4all-to-ggml.py models/gpt4all-7B/gpt4all-lora-quantized.bin ./models/tokenizer.model + python3 migrate-ggml-2023-03-30-pr613.py models/gpt4all-7B/gpt4all-lora-quantized.bin models/gpt4all-7B/gpt4all-lora-quantized-new.bin ``` -- You can now use the newly generated `gpt4all-lora-quantized.bin` model in exactly the same way as all other models +- You can now use the newly generated `gpt4all-lora-quantized-new.bin` model in exactly the same way as all other models - The original model is saved in the same folder with a suffix `.orig` ### Obtaining and verifying the Facebook LLaMA original model and Stanford Alpaca model data |