Satyrn Qwen3.8-27B-py3.15
Satyrn Qwen3.8-27B-py3.15 is a Satyrn fine-tune of Qwen3.8-27B targeting Python 3.15.
- Developed by: Satyrn team
- Base model: Qwen/Qwen3.8-27B
- Model type: Causal language model (text generation)
- Fine-tuned with: Satyrn + Unsloth
- Language(s): English, Python code
- Website: https://satyrn.ai/
Model Details
This model was produced with the Satyrn Models Unsloth training pipeline using the
experiment/py3.15-qwen3.8-27b
configuration.
For this release, the RL dataset stage was disabled (datasets.rl=null).
Training
The full data description and training protocols are available in the repository: https://github.com/satyrn-ai/satyrn-models
Usage
Download the model
Using the Hugging Face CLI:
pip install -U "huggingface_hub[cli]"
huggingface-cli download satyrn-ai/Qwen3.8-27B-py3.15 --local-dir ./Satyrn-Qwen3.8-27B-py3.15
Or from Python:
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="satyrn-ai/Qwen3.8-27B-py3.15",
local_dir="./Satyrn-Qwen3.8-27B-py3.15",
)
Run inference with Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "satyrn-ai/Qwen3.8-27B-py3.15"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
model_id,
torch_dtype="auto",
device_map="auto",
)
messages = [
{"role": "user", "content": "Write a Python function that merges two sorted lists."}
]
inputs = tokenizer.apply_chat_template(
messages,
add_generation_prompt=True,
return_tensors="pt",
).to(model.device)
outputs = model.generate(inputs, max_new_tokens=512)
print(tokenizer.decode(outputs[0][inputs.shape[-1]:], skip_special_tokens=True))
Authors
Satyrn team
Learn More and Contribute
Visit https://satyrn.ai/ for more information on how to use the models and how to contribute. Data and training protocols: https://github.com/satyrn-ai/satyrn-models
Citation
@misc{satyrn_qwen38_27b_py315,
title = {Qwen3.8-27B-py3.15},
author = {Satyrn team},
year = {2026},
howpublished = {\url{https://huggingface.co/satyrn-ai/Qwen3.8-27B-py3.15}}
}