初始化项目,由ModelHub XC社区提供模型
Model: danielhanchen/open_llama_3b_600bt_preview Source: Original Platform
This commit is contained in:
47
README.md
Normal file
47
README.md
Normal file
@@ -0,0 +1,47 @@
|
||||
---
|
||||
license: apache-2.0
|
||||
language:
|
||||
- en
|
||||
---
|
||||
|
||||
# ARCHIVED.
|
||||
## Download from original repo: https://huggingface.co/openlm-research/open_llama_3b_600bt_preview
|
||||
### I made a few PRs to the original repo to include my changes!
|
||||
Original model from https://huggingface.co/openlm-research/open_llama_3b_600bt_preview.
|
||||
Example below edited from https://github.com/openlm-research/open_llama
|
||||
```
|
||||
import torch
|
||||
from transformers import AutoTokenizer, AutoModelForCausalLM
|
||||
model_name = "openlm-research/open_llama_3b_600bt_preview"
|
||||
fast_model_name = "danielhanchen/open_llama_3b_600bt_preview"
|
||||
|
||||
tokenizer = AutoTokenizer.from_pretrained(fast_model_name)
|
||||
model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype = torch.float16, device_map = "auto")
|
||||
|
||||
prompt = "Q: What is the largest animal?\nA:"
|
||||
input_ids = tokenizer(prompt, return_tensors = "pt").input_ids
|
||||
print( tokenizer.decode( model.generate( input_ids, max_new_tokens = 32).ravel() ) )
|
||||
```
|
||||
|
||||
This repo includes:
|
||||
1) Ported `LlamaTokenizer` to `LlamaTokenizerFast` via a few lines of code.
|
||||
Loading via `AutoTokenizer` takes 4 to 5 minutes. Now, a few seconds!
|
||||
Essentially the porting is done via the below code:
|
||||
```
|
||||
# from huggingface_hub import notebook_login
|
||||
# notebook_login()
|
||||
from transformers import LlamaTokenizerFast
|
||||
from tokenizers import AddedToken
|
||||
tokenizer = LlamaTokenizerFast.from_pretrained(
|
||||
"openlm-research/open_llama_3b_600bt_preview",
|
||||
add_bos_token = True,
|
||||
add_eos_token = False, # Original LLaMA is False -> add </s> during processing.
|
||||
bos_token = AddedToken("<s>", single_word = True),
|
||||
eos_token = AddedToken("</s>", single_word = True),
|
||||
unk_token = AddedToken("<unk>", single_word = True),
|
||||
pad_token = AddedToken("<unk>", single_word = True)
|
||||
)
|
||||
tokenizer.push_to_hub("open_llama_3b_600bt_preview")
|
||||
```
|
||||
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.
|
||||
3) Manually added BOS `<s>`, EOS `</s>`, UNK `<unk>` tokens, with PAD (padding) being also the `<unk>` token.
|
||||
Reference in New Issue
Block a user