---
license: apache-2.0
base_model: Qwen/Qwen3-8B
tags:
- limo
- mathematical-reasoning
- full-precision
language:
- en
pipeline_tag: text-generation
---

# LIMO-Qwen3-8B-Math-Full-Precision

**Full-precision** (bfloat16) merged model trained with LIMO methodology.

## Model Details
- **Size**: ~16GB (full precision)
- **Base**: Qwen/Qwen3-8B
- **Training**: LIMO dataset (817 samples)
- **Method**: LoRA → Full merge

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

model = AutoModelForCausalLM.from_pretrained(
    "Cbgcbg/limo-qwen3-8b-math-full-precision",
    torch_dtype=torch.bfloat16,
    device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained("Cbgcbg/limo-qwen3-8b-math-full-precision")
```

## Comparison
- Original Gasing: 15.26 GB ✅
- Previous LIMO: 5.55 GB ❌ (quantized)
- **This model: ~16 GB ✅ (full precision)**