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---
license: apache-2.0
tags:
- moe
- frankenmoe
- 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-2x7B
DevPearl-2x7B is a Mixure of Experts (MoE) made with 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
base_model: codellama/CodeLlama-7b-Instruct-hf
experts:
- source_model: deepseek-ai/deepseek-coder-6.7b-instruct
positive_prompts:
- "python"
- "javascript"
- "java"
- source_model: defog/sqlcoder-7b-2
positive_prompts:
- "SQL"
```
## Usage
```python
!pip install -qU transformers bitsandbytes accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "louisbrulenaudet/DevPearl-2x7B"
tokenizer = AutoTokenizer.from_pretrained(model)
pipeline = transformers.pipeline(
"text-generation",
model=model,
model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
)
messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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"])
``` |