Edit model card

DevPearl-2x7B, an xtraordinary Mixture of Experts (MoE) for development

DevPearl-2x7B is a Mixture of Experts (MoE) made with the following models :

A Mixture of Experts (MoE) model represents a sophisticated architecture that amalgamates the capabilities of multiple specialized models to address a wide array of tasks within a unified framework. Within the realm of a MoE model tailored for a chat application, the integration of expertise spanning three distinct domains - chat, code, and mathematics - substantially enhances its capacity to furnish nuanced and precise responses to a diverse spectrum of user inquiries.

Configuration

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

!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"])

Citing & Authors

If you use this code in your research, please use the following BibTeX entry.

@misc{louisbrulenaudet2023,
  author =       {Louis Brulé Naudet},
  title =        {DevPearl-2x7B, an xtraordinary Mixture of Experts (MoE) for development},
  year =         {2024}
  howpublished = {\url{https://huggingface.co/louisbrulenaudet/DevPearl-2x7B}},
}

Feedback

If you have any feedback, please reach out at [email protected].

Downloads last month
18
Safetensors
Model size
11.1B params
Tensor type
BF16
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for louisbrulenaudet/DevPearl-2x7B

Collection including louisbrulenaudet/DevPearl-2x7B