README.md

---
language:
- en
license: llama3
library_name: transformers
pipeline_tag: text2text-generation
---

**Model Name: Llama 3 orca_mini_v6_8b**

# Llama 3 orca_mini_v6_8b is trained with various SFT Datasets

<img src="https://huggingface.co/pankajmathur/orca_mini_v5_8b/resolve/main/orca_minis_small.jpeg" width="auto" />

<strong>
Passionate about Generative AI? I help companies to privately train and deploy custom LLM/MLLM affordably. For startups, I can even assist with securing GPU grants to get you started. Let's chat!

<a href="https://www.linkedin.com/in/pankajam" target="_blank">https://www.linkedin.com/in/pankajam</a> Looking forward to connecting!
</strong>

<br>

### NOTICE

By providing proper credit and attribution, you are granted permission to use this model as a foundational base for further Full fine tuning, DPO, PPO or ORPO tuning and any kind of Merges. 
I actively encourage users to customize and enhance the model according to their specific needs, as this version is designed to be a comprehensive general model. 
Dive in and innovate!

### Evaluation

Coming Soon..


<br>

### Example Usage

Here is the ChatML prompt format

```
<|im_start|>system
You are Orca Mini, a helpful AI assistant.<|im_end|>
<|im_start|>user
Hello Orca Mini, what can you do for me?<|im_end|>
<|im_start|>assistant
```

Below shows a code example on how to use this model

```python
from transformers import AutoModel, AutoTokenizer
model_slug = "pankajmathur/orca_mini_v6_8b"
model = AutoModel.from_pretrained(model_slug)
tokenizer = AutoTokenizer.from_pretrained(model_slug)

messages = [
    {"role": "system", "content": "You are Orca Mini, a helpful AI assistant."},
    {"role": "user", "content": "Hello Orca Mini, what can you do for me?"}
]

gen_input = tokenizer.apply_chat_template(messages, return_tensors="pt")
model.generate(**gen_input)
```
This model is governed by [META LLAMA 3 COMMUNITY LICENSE AGREEMENT](LICENSE)

**Quants**

GGUF : Coming Soon

AWQ: Coming Soon