---
base_model:
- Salesforce/xLAM-1b-fc-r
- mbahrsnc/tinyllama
tags:
- merge
- mergekit
- lazymergekit
- Salesforce/xLAM-1b-fc-r
- mbahrsnc/tinyllama
---

# xllama-2b

xllama-2b is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Salesforce/xLAM-1b-fc-r](https://huggingface.co/Salesforce/xLAM-1b-fc-r)
* [mbahrsnc/tinyllama](https://huggingface.co/mbahrsnc/tinyllama)

## 🧩 Configuration

```yaml
slices:
  - sources:
      - model: Salesforce/xLAM-1b-fc-r
        layer_range: [0, 23]
  - sources:
      - model: mbahrsnc/tinyllama
        layer_range: [0, 21]
merge_method: passthrough
dtype: bfloat16
```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "mbahrsnc/xllama-2b"
messages = [{"role": "user", "content": "What is a large language model?"}]

tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    torch_dtype=torch.float16,
    device_map="auto",
)

outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
```