README.md

---
base_model:
- NousResearch/Hermes-3-Llama-3.1-8B
- Replete-AI/Replete-LLM-V2-Llama-3.1-8b
tags:
- merge
- mergekit
- lazymergekit
- NousResearch/Hermes-3-Llama-3.1-8B
- Replete-AI/Replete-LLM-V2-Llama-3.1-8b
---

# Herplete-LLM-Llama-3.1-8b


Herplete-LLM-Llama-3.1-8b is a continuous finetuned model from Replete-AI/Replete-LLM-V2-Llama-3.1-8b using Lora extracted from Hermes-3-Llama-3.1-8B.

You can find the continuous finetuning method here:

https://docs.google.com/document/d/1OjbjU5AOz4Ftn9xHQrX3oFQGhQ6RDUuXQipnQ9gn6tU/edit?usp=sharing

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "Etherll/Herplete-LLM-Llama-3.1-8b"
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"])
```