metadata

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 merge, but using 512K version of Llama 3 8B.

This should work with a context up to 512k, but I strongly recommend making a finetune first.

💻 Usage

!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"])