README.md

---
library_name: transformers
tags:
- ultrachat
datasets:
- HuggingFaceH4/ultrachat_200k
base_model:
- TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
---

# Model Card for Model ID

This is quantized adapters trained on the Ultrachat 200k dataset for the TinyLlama-1.1B Intermediate Step 1431k 3T model.

adapter_name = TinyLlama-1.1B-intermediate-1431k-3T-adapters-ultrachat

## Model Details

Base model was quantized using  BitsAndBytes

```python
from bitsandbytes import BitsAndBytesConfig

bnb_config = BitsAndBytesConfig(
    load_in_4bit=True,                  # Use 4-bit precision model loading
    bnb_4bit_quant_type="nf4",          # Quantization type
    bnb_4bit_compute_dtype="float16",   # Compute data type
    bnb_4bit_use_double_quant=True      # Apply nested quantization
)
```

### Model Description
This is quantized adapters trained on the Ultrachat 200k dataset for the TinyLlama-1.1B Intermediate Step 1431k 3T model.

- Finetuned from model : [TinyLlama](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T)