tensor 'tok_embeddings.weight' has wrong size in model file

When trying to run the 13B model the following output is given:

main: seed = 1678543550
llama_model_load: loading model from './models/13B/ggml-model-q4_0.bin' - please wait ...
llama_model_load: n_vocab = 32000
llama_model_load: n_ctx   = 512
llama_model_load: n_embd  = 5120
llama_model_load: n_mult  = 256
llama_model_load: n_head  = 40
llama_model_load: n_layer = 40
llama_model_load: n_rot   = 128
llama_model_load: f16     = 2
llama_model_load: n_ff    = 13824
llama_model_load: ggml ctx size = 8559.49 MB
llama_model_load: memory_size =   800.00 MB, n_mem = 20480
llama_model_load: tensor 'tok_embeddings.weight' has wrong size in model file
main: failed to load model from './models/13B/ggml-model-q4_0.bin'

I have followed the commands in the readme to quantize the model, i.e.:

python3 convert-pth-to-ggml.py models/13B/ 1
./quantize ./models/13B/ggml-model-f16.bin   ./models/13B/ggml-model-q4_0.bin 2
./quantize ./models/13B/ggml-model-f16.bin.1 ./models/13B/ggml-model-q4_0.bin.1 2

I am using a M1 MacBook Pro. Any thoughts on how to resolve this issue?

I just realized that I had been using binaries (quantize and main) compiled from a previous version. Recompiling solved the issue. Thank you for your awesome work!