---
language:
- en
license: apache-2.0
tags:
- text-generation
- affine-subnet
- reasoning
- custom-trained
pipeline_tag: text-generation
---

# your-username/affine-custom-model-v1

A custom-trained reasoning model optimized for the Affine subnet on Bittensor.

## Model Details

- **Architecture**: GPT-OSS based transformer
- **Training**: Fine-tuned on multi-task reasoning datasets
- **Optimization**: Custom RL training for Affine environments
- **Modified**: 2025-11-13

## Environments

Optimized for:
- SAT solving
- Abductive reasoning (ABD)
- Deductive reasoning (DED)
- ALFWorld navigation
- WebShop interaction
- BabyAI tasks
- SciWorld experiments
- TextCraft games

## Usage

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained(
    "your-username/affine-custom-model-v1",
    torch_dtype="auto",
    device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained("your-username/affine-custom-model-v1")

messages = [{"role": "user", "content": "Solve this SAT problem..."}]
inputs = tokenizer.apply_chat_template(messages, return_tensors="pt")
outputs = model.generate(inputs, max_new_tokens=512)
print(tokenizer.decode(outputs[0]))
```

## Performance

This model achieves competitive performance across all Affine evaluation environments.

## License

Apache 2.0