diff --git a/README.md b/README.md index 4612c3098ab303b4ca24b4067c47ad6e77e4b9dd..542c82cd7c24402375c17421dc0303f8700e876d 100644 --- a/README.md +++ b/README.md @@ -1,3 +1,6 @@ --- license: pddl --- + +This repository contains the complete hidden states of large language models +completing the text "Once upon a time," using transformers.pipeline . diff --git a/meta-llama_Llama-3.2-1B_4e20de362430cd3b72f300e6b0f18e50e7166e08/0000000.model.embed_tokens.input.0.1x6.int64.mmap b/meta-llama_Llama-3.2-1B_4e20de362430cd3b72f300e6b0f18e50e7166e08/0000000.model.embed_tokens.input.0.1x6.int64.mmap new file mode 100644 index 0000000000000000000000000000000000000000..9812520942cfc74dec86e665b08270db65e4aad5 --- /dev/null +++ b/meta-llama_Llama-3.2-1B_4e20de362430cd3b72f300e6b0f18e50e7166e08/0000000.model.embed_tokens.input.0.1x6.int64.mmap @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:85f21c71560487a86b380ea852aa2caddfa0a57cd8a62285202876ddd514e631 +size 48 diff --git 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0000000000000000000000000000000000000000..2ec40a108433a092c244315b09ef8b62ca8963aa --- /dev/null +++ b/run_test.py @@ -0,0 +1,43 @@ +#!/usr/bin/env python3 +import os, sys +import transformers, torch, tqdm + +model_id, revision = sys.argv[1:] +user, model = model_id.split('/') + +dir = f'{user}_{model}_{revision}' +os.makedirs(dir, exist_ok=True) +os.chdir(dir) + +pipe = transformers.pipeline('text-generation', model_id, revision=revision, trust_remote_code=True, device_map='auto', torch_dtype='auto') + +def store_tensor(descr, tensor): + shapestr = 'x'.join([str(i) for i in tensor.shape]) + dtypestr = str(tensor.dtype).rsplit('.',1)[-1] + fn = f'{descr}.{shapestr}.{dtypestr}.mmap' + mmap = torch.from_file(fn, shared=True, dtype=tensor.dtype, size=tensor.numel()) + mmap[:] = tensor.flatten() + print(fn, end='\r', flush=True) + +IDX = 0 +module_names = {mod:name for name, mod in pipe.model.named_modules()} +def hook(module, inputs, outputs): + global IDX + name = module_names[module] + for idx, input in enumerate(inputs): + if isinstance(input, torch.Tensor): + store_tensor(f'{IDX:07d}.{name}.input.{idx}', input); + if isinstance(outputs, torch.Tensor): + store_tensor(f'{IDX:07d}.{name}.output', outputs); + else: + for idx, output in enumerate(outputs): + if isinstance(output, torch.Tensor): + store_tensor(f'{IDX:07d}.{name}.output.{idx}', output); + IDX += 1 + +for module in pipe.model.modules(): + module.register_forward_hook(hook) + +output = pipe('Once upon a time,', do_sample=False, max_new_tokens=1) +print() +print(output)