---
base_model:
- princeton-nlp/Llama-3-8B-ProLong-512k-Instruct
library_name: transformers
license: llama3
tags:
- merge
- mergekit
- lazymergekit
- princeton-nlp/Llama-3-8B-ProLong-512k-Instruct
---

# Llama-3-15B-512k-Instruct

I decided to repeat [this](https://huggingface.co/elinas/Llama-3-15B-Instruct-zeroed) merge, but using [512K version of Llama 3 8B](https://huggingface.co/princeton-nlp/Llama-3-8B-ProLong-512k-Instruct).

This should work with a context up to 512k, 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-512k-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"])
```