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---
tags:
- merge
- mergekit
- lazymergekit
- deepseek-ai/deepseek-coder-6.7b-instruct
- defog/sqlcoder-7b-2
base_model:
- deepseek-ai/deepseek-coder-6.7b-instruct
- defog/sqlcoder-7b-2
---
# DevPearl-7B-dare-ties
DevPearl-7B-dare-ties is a merge of the following models :
* [deepseek-ai/deepseek-coder-6.7b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instruct)
* [defog/sqlcoder-7b-2](https://huggingface.co/defog/sqlcoder-7b-2)
## Configuration
```yaml
models:
- model: codellama/CodeLlama-7b-Instruct-hf
- model: deepseek-ai/deepseek-coder-6.7b-instruct
parameters:
density: 0.53
weight: 0.7
- model: defog/sqlcoder-7b-2
parameters:
density: 0.45
weight: 0.3
merge_method: dare_ties
base_model: codellama/CodeLlama-7b-Instruct-hf
parameters:
int8_mask: true
dtype: bfloat16
```
## Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "louisbrulenaudet/DevPearl-7B-dare-ties"
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"])
``` |