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.

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resolva - focused on reasoning, built for resolution.