Ursa_Minor0.4
Model Description
Ursa_Minor0.4 is a reasoning-focused language model developed by ExplodingCB2 (Sculptor-AI) and hosted on Hugging Face. It is designed to tackle complex reasoning tasks, demonstrating capabilities in multi-step inference, logical deduction, and contextual understanding.
Key Features:
- Reasoning Prowess: Emphasizes strong reasoning abilities over sheer memorization, aiming for accurate and logical responses.
- Multi-Step Inference: Capable of breaking down complex problems into smaller, manageable steps.
- Logical Deduction: Demonstrates proficiency in applying logical rules and principles to arrive at valid conclusions.
- Contextual Understanding: Exhibits an ability to grasp and utilize contextual information to enhance reasoning accuracy.
- Developed by ExplodingCB2 & Kaileh57 (Sculptor-AI): A model born from focused research and development in the field of AI reasoning.
Intended Uses
- Answering complex questions that require multi-step reasoning.
- Solving logical puzzles and problems.
- Assisting in tasks that demand contextual understanding and inference.
- Research and development in the field of AI reasoning.
- Experimentation with advanced prompting techniques.
How to Use
You can use the Ursa_Minor0.4 model through the Hugging Face Transformers library. Here's a basic example:
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("Sculptor-AI/Ursa_Minor")
model = AutoModelForCausalLM.from_pretrained("Sculptor-AI/Ursa_Minor")
prompt = "What are the prime factors of 42?"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=50)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(response)
- Downloads last month
- 161
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model has no library tag.