femiari/MistralMoE

newMoEAriel

newMoEAriel is a Mixture of Experts (MoE) made with the following models using LazyMergekit:

• NousResearch/Nous-Hermes-2-Mistral-7B-DPO
• yam-peleg/Hebrew-Mistral-7B

🧩 Configuration

base_model: NousResearch/Nous-Hermes-2-Mistral-7B-DPO
experts:
  - source_model: NousResearch/Nous-Hermes-2-Mistral-7B-DPO
    positive_prompts:
    - "chat"
    - "assistant"
    - "tell me"
    - "explain"
    - "I want"
  - source_model: yam-peleg/Hebrew-Mistral-7B
    positive_prompts:
    - "code"
    - "python"
    - "javascript"
    - "programming"
    - "algorithm"
    - "hebrew"

💻 Usage

!pip install -qU transformers bitsandbytes accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "femiari/newMoEAriel"

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"])