# T-Bench Qwen SFT Multi-Task NAT v11

## Model Description
This is a Qwen3-8B model fine-tuned on terminal bench tasks using Negative-Aware Training (NAT) v11. This model represents the latest iteration in the NAT series with enhanced negative example strategies.

## Training Details
- **Base Model**: Qwen/Qwen3-8B
- **Training Method**: Negative-Aware Training (NAT) v11
- **Epochs**: 300
- **Learning Rate**: 5e-5
- **Max Length**: 32768 tokens
- **Batch Size**: 4 (2 per GPU with data parallelism)
- **Attention**: FlashAttention 2
- **Precision**: bfloat16

## Dataset Composition
The training dataset includes a balanced mix of positive and negative examples:
- **Positive Examples**: Successful terminal command executions
- **Negative Examples**: Various failure patterns and common mistakes
- **Context Length**: Extended to 32768 tokens for longer terminal sessions

## NAT v11 Improvements
This version builds upon previous NAT iterations with:
- Enhanced negative example generation
- Better coverage of edge cases
- Improved system prompts
- More diverse failure patterns

## Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained(
    "Aznaur/tbench-qwen-sft-multitask-nat-v11",
    trust_remote_code=True,
    torch_dtype=torch.bfloat16,
    device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained(
    "Aznaur/tbench-qwen-sft-multitask-nat-v11",
    trust_remote_code=True
)
```

## Model Features
- **Context Length**: 32768 tokens
- **Memory Efficient**: Uses FlashAttention 2 and gradient checkpointing
- **Negative-Aware**: Trained to avoid common failure patterns
- **Long Context**: Supports extended terminal sessions

## Hardware Requirements
- GPU Memory: ~16GB minimum (model is ~16GB with bfloat16)
- Recommended: A100 40GB+ for optimal performance

## Training Pipeline
- **Dataset Creation**: Multi-task NAT v11 pipeline
- **Training Config**: Optimized for 2xA100 with data parallelism
- **Negative Examples**: Enhanced coverage of failure patterns

## License
This model inherits the license from the base Qwen3-8B model.