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Atlas Pro (Previously known as '🏆 Atlas-Experiment 0403 🧪' in AtlasUI) is an advanced language model (LLM) built on top of Atlas Flash. It's designed to provide exceptional performance for professional tasks like coding, mathematics, and scientific problem-solving. Atlas Pro builds on Atlas Flash by adding more fine-tuning and specialization, making it perfect for researchers and advanced users.
Below are the evaluations of the Atlas-Pro models and Deepseek's R1 Qwen Distills (The model that started the whole Atlas family):
| Metric | Spestly Atlas Pro (7B) | Spestly Atlas Pro (1.5B) | DeepSeek-R1-Distill-Qwen (7B) | DeepSeek-R1-Distill-Qwen (1.5B) |
|---|---|---|---|---|
| Average | 22.65% | 12.93% | 11.73% | 7.53% |
| IFEval | 31.54% | 24.30% | 40.38% | 34.63% |
| BBH | 25.27% | 9.08% | 7.88% | 4.73% |
| MATH | 38.90% | 25.83% | 0.00% | 0.00% |
| GPQA | 11.63% | 6.26% | 3.91% | 2.97% |
| MUSR | 6.65% | 1.86% | 3.55% | 2.08% |
| MMLU-Pro | 21.89% | 10.28% | 14.68% | 0.78% |
| Carbon Emissions (kg) | 0.69 kg | 0.59 kg | 0.68 kg | 0.62 kg |
Atlas Pro works best for:
Atlas Pro is built on Atlas Flash and improved to meet high standards. Here’s how it’s made:
Atlas Pro is released under the MIT, which prohibits harmful uses. Make sure to follow the rules in the license agreement.
Created by Spestly as part of the Astral Model Family, Atlas Pro builds on the strong foundation of Atlas Flash. Special thanks to Deepseek's R1 Qwen Distilles for helping make it happen.
You can use Atlas Pro with this code snippet:
from transformers import AutoModelForCausalLM, AutoTokenizer
# Load the Atlas Pro model
model_name = "Spestly/Atlas-R1-Pro-1.5B-Preview"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)
# Generate a response
prompt = "Write a Python function to calculate the Fibonacci sequence."
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_length=200)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(response)