Original repo: https://huggingface.co/openlm-research/open_llama_13b_600bt

This repo just allows the tokenizer to allow the use of `use_fast = True` to work, which can speed up batched tokenization dramatically.
This repo DOES NOT host OpenLLAMA's models. For those, use OpenLLAMA's repo.
For eg:

```
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("danielhanchen/open_llama_13b_600bt")
model = AutoModelForCausalLM.from_pretrained("openlm-research/open_llama_13b_600bt")
```
{"language": ["en"], "license": "apache-2.0"}
en license:apache-2.0 region:us
TAGS
#en #license-apache-2.0 #region-us 

Original repo: URL

This repo just allows the tokenizer to allow the use of 'use_fast = True' to work, which can speed up batched tokenization dramatically.
This repo DOES NOT host OpenLLAMA's models. For those, use OpenLLAMA's repo.
For eg:


TAGS
#en #license-apache-2.0 #region-us 
