README.md

---
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"])
```