| --- |
| license: openmdw-1.1 |
| base_model: |
| - unsloth/Phi-4-mini-reasoning-bnb-4bit |
| pipeline_tag: text-generation |
| tags: |
| - reasoning |
| - max |
| - compact |
| - accessible |
| --- |
| |
| <p> |
| <img src="aksern.svg" alt="aksern icon" width="112"> |
| </p> |
|
|
| # resolva-1.0-r4b |
|
|
| **resolva-1.0-r4b** is a 4B-parameter language model based on **Phi-4-mini-reasoning**, designed to prioritize reasoning effort and task resolution. |
|
|
| it is the first model in the resolva series, built around the idea of spending more effort on solving tasks rather than simply generating immediate answers. |
|
|
| ## model overview |
|
|
| - **model name:** resolva-1.0-r4b |
| - **series:** resolva |
| - **version:** 1.0-r4b |
| - **architecture:** Phi-based language model |
| - **base model:** Phi-4-mini-reasoning |
| - **parameters:** 4B |
| - **license:** openmdw-1.1 |
| - **primary focus:** reasoning and task resolution |
|
|
| ## key goals |
|
|
| - **reasoning-first design** - prioritizes deliberate reasoning when approaching tasks. |
| - **task resolution** - designed to work through problems and produce solutions. |
| - **efficient scale** - targets a relatively compact 4B-parameter footprint. |
| - **foundation for the resolva series** - establishes the starting point for future models and experiments. |
|
|
| ## intended use |
|
|
| resolva-1.0-r4b is intended for tasks that benefit from reasoning, structured problem-solving, and multi-step analysis. |
|
|
| potential use cases include: |
| - logical reasoning and problem-solving |
| - programming and code-related tasks |
| - mathematical problems |
| - instruction following |
| - analytical text generation |
|
|
| actual performance may vary depending on the task, inference configuration, and deployment environment. |
|
|
| ## model details |
|
|
| resolva-1.0-r4b is based on Phi-4-mini-reasoning and aims to build on its reasoning-oriented capabilities. it is the first release in the resolva family, providing a foundation for further experimentation with reasoning-focused language models. |
|
|
| the `r4b` designation refers to the model's 4B-parameter scale. |
|
|
| ## limitations |
|
|
| - reasoning quality and reliability have not been established across all task categories. |
| - the model may generate incorrect or unsupported information. |
| - outputs should be evaluated before being used in critical applications. |
| - benchmark results and comparative performance should be added once reliable evaluations are available. |
|
|
| ## usage |
|
|
| load the model using the inference framework compatible with its architecture and exported format. |
|
|
| refer to the repository files for model weights, tokenizer configuration, and any additional inference instructions. |
|
|
| ## model series |
|
|
| resolva-1.0-r4b is the first model in the resolva series. |
|
|
| future releases may explore improvements in reasoning quality, task-solving reliability, and overall model efficiency. |
|
|
| --- |
|
|
| *resolva - focused on reasoning, built for resolution.* |
