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alexrozanski / LlamaChat

Chat with your favourite LLaMA models in a native macOS app
https://llamachat.app
MIT License
1.45k stars 56 forks source link

Error when converting model #39

Closed georgeaidinis closed 1 year ago

georgeaidinis commented 1 year ago

I have downloaded the Llama-2 (13B) models and I have them in .pth format.

Environment check passes, so does setting up & dependency check. When it reaches the conversion step, I see this:

Writing vocab...

Traceback (most recent call last): File "/var/folders/m0/872knsrj62s8zllz2f18nhpr0000gn/T/E7FD53F2-B53D-4439-9AE7-898FE0607B18/convert-pth-to-ggml.py", line 11, in convert.main(['--outtype', 'f16' if args.ftype == 1 else 'f32', '--', args.dir_model]) File "/private/var/folders/m0/872knsrj62s8zllz2f18nhpr0000gn/T/E7FD53F2-B53D-4439-9AE7-898FE0607B18/convert.py", line 1144, in main OutputFile.write_all(outfile, params, model, vocab) File "/private/var/folders/m0/872knsrj62s8zllz2f18nhpr0000gn/T/E7FD53F2-B53D-4439-9AE7-898FE0607B18/convert.py", line 953, in write_all for i, ((name, lazy_tensor), ndarray) in enumerate(zip(model.items(), ndarrays)): File "/private/var/folders/m0/872knsrj62s8zllz2f18nhpr0000gn/T/E7FD53F2-B53D-4439-9AE7-898FE0607B18/convert.py", line 875, in bounded_parallel_map result = futures.pop(0).result() File "/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/lib/python3.9/concurrent/futures/_base.py", line 438, in result return self.get_result() File "/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/lib/python3.9/concurrent/futures/_base.py", line 390, in get_result raise self._exception File "/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/lib/python3.9/concurrent/futures/thread.py", line 52, in run result = self.fn(*self.args, **self.kwargs) File "/private/var/folders/m0/872knsrj62s8zllz2f18nhpr0000gn/T/E7FD53F2-B53D-4439-9AE7-898FE0607B18/convert.py", line 950, in do_item return lazy_tensor.load().to_ggml().ndarray File "/private/var/folders/m0/872knsrj62s8zllz2f18nhpr0000gn/T/E7FD53F2-B53D-4439-9AE7-898FE0607B18/convert.py", line 489, in load ret = self._load() File "/private/var/folders/m0/872knsrj62s8zllz2f18nhpr0000gn/T/E7FD53F2-B53D-4439-9AE7-898FE0607B18/convert.py", line 497, in load return self.load().astype(data_type) File "/private/var/folders/m0/872knsrj62s8zllz2f18nhpr0000gn/T/E7FD53F2-B53D-4439-9AE7-898FE0607B18/convert.py", line 489, in load ret = self._load() File "/private/var/folders/m0/872knsrj62s8zllz2f18nhpr0000gn/T/E7FD53F2-B53D-4439-9AE7-898FE0607B18/convert.py", line 549, in load ndarrays = [load_unquantized(tensor) for tensor in lazy_tensors] File "/private/var/folders/m0/872knsrj62s8zllz2f18nhpr0000gn/T/E7FD53F2-B53D-4439-9AE7-898FE0607B18/convert.py", line 549, in ndarrays = [load_unquantized(tensor) for tensor in lazy_tensors] File "/private/var/folders/m0/872knsrj62s8zllz2f18nhpr0000gn/T/E7FD53F2-B53D-4439-9AE7-898FE0607B18/convert.py", line 297, in load_unquantized tensor = lazy_tensor.load() File "/private/var/folders/m0/872knsrj62s8zllz2f18nhpr0000gn/T/E7FD53F2-B53D-4439-9AE7-898FE0607B18/convert.py", line 489, in load ret = self._load() File "/private/var/folders/m0/872knsrj62s8zllz2f18nhpr0000gn/T/E7FD53F2-B53D-4439-9AE7-898FE0607B18/convert.py", line 695, in load return UnquantizedTensor(storage.load(storage_offset, elm_count).reshape(size)) File "/private/var/folders/m0/872knsrj62s8zllz2f18nhpr0000gn/T/E7FD53F2-B53D-4439-9AE7-898FE0607B18/convert.py", line 679, in load raise Exception("tensor stored in unsupported format") Exception: tensor stored in unsupported format

Am I doing something wrong?

georgeaidinis commented 1 year ago

Same issue with #36