metadata

license: apache-2.0
tags:
  - moe
  - merge
  - mergekit
  - lazymergekit
  - Felladrin/Minueza-32M-Base
  - Felladrin/Minueza-32M-UltraChat
datasets:
  - Skylion007/openwebtext
  - c4
  - wikimedia/wikipedia
  - tiiuae/falcon-refinedweb
  - izumi-lab/open-text-books
  - togethercomputer/RedPajama-Data-V2
  - databricks/databricks-dolly-15k
  - euclaise/reddit-instruct-curated
  - CohereForAI/aya_dataset
  - HuggingFaceH4/ultrachat_200k
  - Felladrin/ChatML-ultrachat_200k
pipeline_tag: text-generation
widget:
  - messages:
      - role: user
        content: Specs of a game about trolls and warriors in a fantasy world.
  - messages:
      - role: user
        content: Reducing waste generation is essential to...
  - messages:
      - role: user
        content: Water, planet, resource, future
  - messages:
      - role: user
        content: >-
          Background story of an RPG game about wizards and dragons in a sci-fi
          world. The story takes place in a...
  - messages:
      - role: system
        content: >-
          You are a career counselor. The user will provide you with an
          individual looking for guidance in their professional life, and your
          task is to assist them in determining what careers they are most
          suited for based on their skills, interests, and experience. You
          should also conduct research into the various options available,
          explain the job market trends in different industries, and advice on
          which qualifications would be beneficial for pursuing particular
          fields.
      - role: user
        content: Heya!
      - role: assistant
        content: Hi! How may I help you?
      - role: user
        content: >-
          I am interested in developing a career in software engineering. What
          would you recommend me to do?
  - messages:
      - role: user
        content: Morning!
      - role: assistant
        content: Good morning! How can I help you today?
      - role: user
        content: Could you give me some tips for becoming a healthier person?
  - messages:
      - role: user
        content: Write the specs of a game about mages in a fantasy world.
  - messages:
      - role: user
        content: Tell me about the pros and cons of social media.
  - messages:
      - role: system
        content: >-
          You are a highly knowledgeable and friendly assistant. Your goal is to
          understand and respond to user inquiries with clarity. Your
          interactions are always respectful, helpful, and focused on delivering
          the most accurate information to the user.
      - role: user
        content: Hey! Got a question for you!
      - role: assistant
        content: Sure! What's it?
      - role: user
        content: What are some potential applications for quantum computing?

🌟 Buying me coffee is a direct way to show support for this project.

Mixnueza-6x32M-MoE

Mixnueza-6x32M-MoE is a Mixure of Experts (MoE) made with the following models using LazyMergekit:

Recommended Prompt Format

<|im_start|>system
{system_message}<|im_end|>
<|im_start|>user
{user_message}<|im_end|>
<|im_start|>assistant

Recommended Inference Parameters

do_sample: true
temperature: 0.65
top_p: 0.55
top_k: 35
repetition_penalty: 1.176

Usage Example

from transformers import pipeline

generate = pipeline("text-generation", "Felladrin/Minueza-32M-UltraChat")

messages = [
    {
        "role": "system",
        "content": "You are a highly knowledgeable and friendly assistant. Your goal is to understand and respond to user inquiries with clarity. Your interactions are always respectful, helpful, and focused on delivering the most accurate information to the user.",
    },
    {
        "role": "user",
        "content": "Hey! Got a question for you!",
    },
    {
        "role": "assistant",
        "content": "Sure! What's it?",
    },
    {
        "role": "user",
        "content": "What are some potential applications for quantum computing?",
    },
]

prompt = generate.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)

output = generate(
    prompt,
    max_new_tokens=256,
    do_sample=True,
    temperature=0.65,
    top_k=35,
    top_p=0.55,
    repetition_penalty=1.176,
)

print(output[0]["generated_text"])