---
license: apache-2.0
language:
- en
tags:
- function calling
- mistral
- llama
- open source ai
- code
- task automation
- workflow automation
library_name: nemo
pipeline_tag: conversational
---

# Atom

a suite of finetuned LLMs for atomically precise function calling 🧪 

✅ Massive function calling dataset of over 20M samples.

✅  First Model: Atom-Z-Tiny - Zephr trained on 100k samples

✅ Vision function calling coming soon

## Usage

```python
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM

device = torch.device("cuda" if torch.cuda.is_available() else "cpu")

tokenizer = AutoTokenizer.from_pretrained("kye/Atom-Z-Tiny-7B")

model = AutoModelForCausalLM.from_pretrained(
  "kye/Atom-Z-Tiny-7B", 
  trust_remote_code=True, 
).to(device)

input_context = "Space Robots are"
input_ids = tokenizer.encode(input_context, return_tensors="pt")
output = model.generate(input_ids.to(device), max_length=128, temperature=0.7).cpu()
output_text = tokenizer.decode(output[0], skip_special_tokens=True)
print(output_text)

```


# Contribute
To contribute please join the Agora discord: 

https://discord.gg/dMPPswVcZ8

All of our operations take place here and you can learn how to contribute to models that advance Humanity!

We're also granting GPU power to researchers working on cool projects so share your project!