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---
base_model:
- princeton-nlp/Llama-3-8B-ProLong-64k-Instruct
tags:
- merge
- mergekit
- lazymergekit
- princeton-nlp/Llama-3-8B-ProLong-64k-Instruct
library_name: transformers
license: llama3
---
# Llama-3-15B-64k-Instruct
I decided to repeat [this](https://huggingface.co/elinas/Llama-3-15B-Instruct-zeroed) merge, but using [64K version of Llama 3 8B](https://huggingface.co/princeton-nlp/Llama-3-8B-ProLong-64k-Instruct).
This should work with a context up to 64k, but I strongly recommend making a finetune first.
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "Ttimofeyka/Llama-3-15B-64k-Instruct"
messages = [{"role": "user", "content": "What is a large language model?"}]
tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
"text-generation",
model=model,
torch_dtype=torch.float16,
device_map="auto",
)
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
``` |