47 lines
2.0 KiB
Markdown
47 lines
2.0 KiB
Markdown
---
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license: apache-2.0
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language:
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- en
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---
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# ARCHIVED.
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## Download from original repo: https://huggingface.co/openlm-research/open_llama_3b_600bt_preview
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### I made a few PRs to the original repo to include my changes!
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Original model from https://huggingface.co/openlm-research/open_llama_3b_600bt_preview.
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Example below edited from https://github.com/openlm-research/open_llama
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```
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import torch
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from transformers import AutoTokenizer, AutoModelForCausalLM
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model_name = "openlm-research/open_llama_3b_600bt_preview"
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fast_model_name = "danielhanchen/open_llama_3b_600bt_preview"
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tokenizer = AutoTokenizer.from_pretrained(fast_model_name)
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model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype = torch.float16, device_map = "auto")
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prompt = "Q: What is the largest animal?\nA:"
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input_ids = tokenizer(prompt, return_tensors = "pt").input_ids
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print( tokenizer.decode( model.generate( input_ids, max_new_tokens = 32).ravel() ) )
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```
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This repo includes:
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1) Ported `LlamaTokenizer` to `LlamaTokenizerFast` via a few lines of code.
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Loading via `AutoTokenizer` takes 4 to 5 minutes. Now, a few seconds!
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Essentially the porting is done via the below code:
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```
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# from huggingface_hub import notebook_login
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# notebook_login()
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from transformers import LlamaTokenizerFast
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from tokenizers import AddedToken
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tokenizer = LlamaTokenizerFast.from_pretrained(
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"openlm-research/open_llama_3b_600bt_preview",
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add_bos_token = True,
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add_eos_token = False, # Original LLaMA is False -> add </s> during processing.
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bos_token = AddedToken("<s>", single_word = True),
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eos_token = AddedToken("</s>", single_word = True),
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unk_token = AddedToken("<unk>", single_word = True),
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pad_token = AddedToken("<unk>", single_word = True)
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)
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tokenizer.push_to_hub("open_llama_3b_600bt_preview")
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```
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2) `AutoTokenizer` does not recognize the BOS, EOS and UNK tokens. Weirdly `<unk>` ie the 0 token was added instead of the `<s>` or `</s>` token.
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3) Manually added BOS `<s>`, EOS `</s>`, UNK `<unk>` tokens, with PAD (padding) being also the `<unk>` token. |