Valor_Macaroni_moe

Valor_Macaroni_moe

Valor_Macaroni_moe is a Mixure of Experts (MoE) made with the following models using LazyMergekit:

• NeuralNovel/Valor-7B-v0.1
• Toten5/Marcoroni-neural-chat-7B-v1

🧩 Configuration

base_model: NeuralNovel/Valor-7B-v0.1
gate_mode: cheap_embed
experts:
  - source_model: NeuralNovel/Valor-7B-v0.1
    positive_prompts: ["What should I do if lost my mobile phone"]
  - source_model: Toten5/Marcoroni-neural-chat-7B-v1
    positive_prompts: ["I have 3 apples. I lost 2 out of it. After that my father gave me another 3. How many do I have now?"]

💻 Usage

!pip install -qU transformers bitsandbytes accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "Vasanth/Valor_Macaroni_moe"

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"])