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---
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.
<a href="https://www.buymeacoffee.com/isotonic"><img src="https://www.buymeacoffee.com/assets/img/guidelines/download-assets-sm-1.svg" alt=""></a>
# Mixnueza-6x32M-MoE
Mixnueza-6x32M-MoE is a Mixure of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* 3 X [Felladrin/Minueza-32M-Base](https://huggingface.co/Felladrin/Minueza-32M-Base)
* 3 X [Felladrin/Minueza-32M-UltraChat](https://huggingface.co/Felladrin/Minueza-32M-UltraChat)
* [Evaluation Results](https://huggingface.co/datasets/open-llm-leaderboard/details_Isotonic__Mixnueza-6x32M-MoE)
## Recommended Prompt Format
```
<|im_start|>system
{system_message}<|im_end|>
<|im_start|>user
{user_message}<|im_end|>
<|im_start|>assistant
```
## Recommended Inference Parameters
```yml
do_sample: true
temperature: 0.65
top_p: 0.55
top_k: 35
repetition_penalty: 1.176
```
## Usage Example
```python
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"])
``` |