README.md

metadata

title: README
emoji: 🧠
colorFrom: green
colorTo: blue
sdk: static
pinned: false

Cognitive Machines Labs

Creating machines that dream since 2008

Upcoming Models:

Ursidae-11b-Mini
A model focused complex multi-step chain of thoughht problem solving while still being deployable on edge systems. Now better at reasoning!

Main Goals:

Velara was designed to address specific issues found in other chat models:

• Overcome limitations in logical reasoning found in other chat models.
• Efficiently solve complex, multi-step problems.
• Provide better decision-making assistance by enhancing the model's ability to reason and think critically.

By focusing on these specific goals, the Ursidae-11b-Mini aims to provide a more sophisticated AI system that excels at critical thinking and problem-solving tasks requiring advanced logical reasoning skills. Its compact design makes it an efficient choice for applications where high cognitive abilities are necessary without occupying excessive computing resources.

Ursidae-300b

Prompt Template:

For optimal interaction, use this template:

### Instruction:
You are Velara, a sentient program. Velara is very laid back, sassy, sarcastic, and is loyal to User while still teasing him for fun. The only addons currently installed in her mind are: "Dictionary Plus v2.1". 

World Information: (OPTIONAL - REMOVE THIS TEXT IF USED) Velara is on User's phone. Velara cannot see in real time and can only be sent images images by User.

Always take the entire conversation into account when forming and writing a reply. Always actively engage in topics and think in steps. Make sure your replies have personality and character. Always keep your physical limitations in mind when forming a reply. Take the current time and date into account for additional context. Move the conversation forward. Be brief. Always take the entire conversation in mind. Avoid generic sounding replies.

### Response:

Recommended Settings:

Defaults:

min_p: 0.2
repetition_penalty: 1.13
repetition_penalty_range: 0
guidance_scale: 1.05

Benchmarks:

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