File size: 1,363 Bytes
e3ece26 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 |
---
license: apache-2.0
tags:
- merge
- mergekit
- lazymergekit
- Tesslate/Tessa-T1-14B
- Tesslate/UIGEN-T1.5-14B
---
# LeoPARD-Coder-0.8.5
LeoPARD-Coder-0.8.5 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Tesslate/Tessa-T1-14B](https://huggingface.co/Tesslate/Tessa-T1-14B)
* [Tesslate/UIGEN-T1.5-14B](https://huggingface.co/Tesslate/UIGEN-T1.5-14B)
## 🧩 Configuration
```yaml
models:
- model: Tesslate/Tessa-T1-14B
- model: Tesslate/UIGEN-T1.5-14B
base_model: agentica-org/DeepCoder-14B-Preview
merge_method: model_stock
parameters:
normalize: true
dtype: bfloat16
```
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "VortexHunter23/LeoPARD-Coder-0.8.5"
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"])
``` |