---
language:
  - en
library_name: transformers
pipeline_tag: text-generation
tags:
  - text-generation
  - qwen
  - aether
  - code-generation
inference: true
---

# Aether Mini V1

Aether Mini V1 is a fast, efficient 0.5B parameter language model optimized for general tasks, code generation, and instruction following. Based on Qwen2.5 architecture, fine-tuned for enterprise use cases.

## Features

- **Fast Inference**: Sub-second response times on consumer hardware
- **Code Generation**: Optimized for Python, JavaScript, TypeScript, and more
- **Instruction Following**: Fine-tuned for precise instruction adherence
- **Low Resource**: Runs on CPU with minimal memory requirements

## Usage

### Transformers

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("RoeAcquisitions/aether-mini-v1")
tokenizer = AutoTokenizer.from_pretrained("RoeAcquisitions/aether-mini-v1")

messages = [
    {"role": "user", "content": "Write a Python function to calculate fibonacci numbers"}
]

text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
inputs = tokenizer([text], return_tensors="pt")

generated_ids = model.generate(**inputs, max_new_tokens=512)
response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
print(response)
```

### API

Access via Aether Tech AI API:
```bash
curl https://aether-models.nebulahq.work/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "aether-mini-v1",
    "messages": [{"role": "user", "content": "Hello"}]
  }'
```

## Pricing

- **Input**: $0.10 per 1M tokens
- **Output**: $0.30 per 1M tokens

## License

Apache 2.0

## Contact

- Website: https://nebulahq.work
- Email: api@nebulahq.work