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---
base_model:
- bigcode/starcoder2-3b
- TechxGenus/starcoder2-3b-instruct
tags:
- merge
- mergekit
- lazymergekit
- bigcode/starcoder2-3b
- TechxGenus/starcoder2-3b-instruct
---
# tinyllama-merged
tinyllama-merged is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [bigcode/starcoder2-3b](https://huggingface.co/bigcode/starcoder2-3b)
* [TechxGenus/starcoder2-3b-instruct](https://huggingface.co/TechxGenus/starcoder2-3b-instruct)
## 🧩 Configuration
```yaml
models:
- model : bigcode/starcoder2-3b
parameters:
density: 0.5 # density gradient
weight: 1
- model: TechxGenus/starcoder2-3b-instruct
parameters:
density: 0.5
weight: 1 # weight gradient
tokenizer_source: union
merge_method: ties
base_model: bigcode/starcoder2-3b
parameters:
normalize: true
int8_mask: true
dtype: float16
```
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "choprahetarth/tinyllama-merged"
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"])
``` |