---
base_model: 
- NousResearch/Hermes-2-Pro-Llama-3-8B
- xtuner/llava-llama-3-8b-v1_1-transformers
tags:
- llama
- instruct
- finetune
- chatml
- DPO
- RLHF
- gpt4
- synthetic data
- distillation
- function calling
- json mode
- llava
- vision
- multimodal
model-index:
- name: Hermes-2-Pro-Llama-3-8B
  results: []
license: apache-2.0
language:
- en
datasets:
- teknium/OpenHermes-2.5
- Lin-Chen/ShareGPT4V
widget:
- example_title: Hermes 2 Pro
  messages:
  - role: system
    content: You are a sentient, superintelligent artificial general intelligence, here to teach and assist me.
  - role: user
    content: Write a short story about Goku discovering kirby has teamed up with Majin Buu to destroy the world.
---

# Nous Hermes 2 Pro + Xtuner Llava v1.1 - Llama 3 8B

Nous Hermes 2 Pro's LLaMA weights + Xtuner Llava's mm_projector & vision_tower weights.

Good QA + Function Calling + JSON Mode + Vision Multimodal

GGUFs:
- Nous Hermes 2 pro: https://huggingface.co/NousResearch/Hermes-2-Pro-Llama-3-8B-GGUF
- Xtuner LLaVA v1.1: https://huggingface.co/xtuner/llava-llama-3-8b-v1_1-gguf


Test code:
```python
import requests
from PIL import Image

import torch
from transformers import AutoProcessor, LlavaForConditionalGeneration

model_id = "vonjack/Nous-Hermes-2-Pro-Xtuner-LLaVA-v1_1-Llama-3-8B"

prompt = ("<|im_start|>user\n<image>\nWhat are these?<|im_end|>"
          "<|im_start|>assistant\n")
image_file = "http://images.cocodataset.org/val2017/000000039769.jpg"

model = LlavaForConditionalGeneration.from_pretrained(
    model_id, 
    torch_dtype=torch.float16, 
    low_cpu_mem_usage=True, 
).to(0)

processor = AutoProcessor.from_pretrained(model_id)


raw_image = Image.open(requests.get(image_file, stream=True).raw)
inputs = processor(prompt, raw_image, return_tensors='pt').to(0, torch.float16)

output = model.generate(**inputs, max_new_tokens=200, do_sample=False)
print(processor.decode(output[0][2:], skip_special_tokens=True))
```

Example:

![image/png](https://cdn-uploads.huggingface.co/production/uploads/6396e4f81dade26da03cdb73/y34Jlh4S72SCEki9v0uPM.png)