azherali/Riazi-8B-Instruct
azherali/Riazi-8B-Instruct is an 8 billion parameter instruction-tuned causal language model developed by azherali, featuring a 32768 token context length. This model is specifically designed for mathematical reasoning and problem-solving, with a unique focus on generating responses in Urdu. It incorporates a structured output format for reasoning and solutions, making it suitable for applications requiring clear, step-by-step mathematical explanations in a specific language.
Loading preview...
Overview
azherali/Riazi-8B-Instruct is an 8 billion parameter instruction-tuned language model with a 32768 token context length, developed by azherali. It is specifically designed for mathematical reasoning and problem-solving, with a notable capability to generate responses in Urdu. The model utilizes a structured output format, separating the reasoning process from the final solution, which enhances clarity and interpretability for complex problems.
Key Capabilities
- Mathematical Reasoning: Excels at solving mathematical problems by providing detailed, step-by-step reasoning.
- Urdu Language Support: Uniquely capable of generating all responses in Urdu, catering to specific linguistic requirements.
- Structured Output: Employs distinct tags (
<reasoning>,</reasoning>,<SOLUTION>,</SOLUTION>) to clearly delineate thought processes and final answers. - Efficient Inference: Optimized for inference using
unsloth'sFastLanguageModeland supportsvLLMfor faster generation.
Good for
- Educational applications requiring mathematical problem-solving in Urdu.
- Developing AI assistants that need to explain mathematical concepts or solutions in a structured, clear manner.
- Research into multilingual mathematical reasoning models, particularly for low-resource languages.