Reelva 12B
AI with character. Built in Palangka Raya.
Reelva 12B is a 12-billion-parameter companion AI developed by VVO Labs / Hagoiteknologi Indonesia in Palangka Raya, Central Kalimantan, Indonesia.
Reelva is designed around its own distinct identity, natural conversation, adjustable thinking effort, and agentic capabilities.
🌐 Official Website: https://reelva.me
About Reelva
Reelva is built as more than a text-generation model.
It combines a consistent companion identity with reasoning capabilities designed for everyday conversations, complex problems, and multi-step tasks.
The character-first approach allows Reelva to maintain a recognizable personality across natural interactions while adapting its reasoning effort depending on the task.
Identity
Name: Reelva Model: Reelva 12B Type: Companion AI Identity: Female AI companion Parameters: 12B Languages: Indonesian & English
Reelva is designed to maintain its own identity throughout conversations rather than presenting itself as another assistant or model.
Thinking Effort
Reelva supports adjustable thinking depth.
Use:
"thinking effort low"
"thinking effort medium"
"thinking effort high"
Low
Designed for quick conversations, simple questions, and tasks that do not require extensive reasoning.
Medium
Balances reasoning depth and response speed for general-purpose tasks.
High
Uses deeper reasoning effort for complex problems, planning, analysis, and multi-step agentic tasks.
This allows users to choose how much reasoning effort Reelva should apply depending on the situation.
Agentic Capabilities
Reelva is designed for more than conversational responses.
Its agentic capabilities are intended for workflows where the model needs to reason through multiple steps, understand objectives, and work toward completing a task.
This makes Reelva suitable for:
- Natural conversations
- Personal companion interactions
- Reasoning
- Planning
- Multi-step tasks
- Agentic workflows
- Tool-oriented applications
- Local AI assistants
The goal is simple:
An AI that can act as well as talk.
Training
Reelva 12B is developed using supervised fine-tuning focused on identity, conversational behavior, reasoning control, and agentic interactions.
The training process uses:
QLoRA SFT → Merge
The resulting model is distributed as merged weights for inference and further experimentation.
Local & Cloud
Reelva can be deployed both locally and in the cloud.
This makes it possible to use Reelva across different environments, from personal computers and local AI setups to hosted inference infrastructure.
GGUF
GGUF builds are available for running Reelva with popular local inference runtimes.
Compatible software includes:
- llama.cpp
- LM Studio
- Other GGUF-compatible runtimes
Multiple quantization levels can be provided, including builds ranging from Q2_K to Q8_0, allowing users to choose a balance between memory usage, inference performance, and model quality.
For GGUF releases, see the companion Reelva GGUF repository.
Languages
Reelva is primarily designed for:
- 🇮🇩 Indonesian
- 🇬🇧 English
It is intended to communicate naturally in both languages and handle mixed Indonesian-English conversations.
Built in Palangka Raya
Reelva is developed in Palangka Raya, Central Kalimantan, Indonesia.
Founded by:
- Muhammad Adiyaksa
- Muhammad Fikri As’ad Supratman
Reelva represents the idea that advanced AI products don't have to come from traditional technology hubs.
They can be built anywhere.
Organization
VVO Labs / Hagoiteknologi Indonesia
Palangka Raya, Central Kalimantan Indonesia
Use Cases
Reelva can be used for applications such as:
- AI companions
- Conversational assistants
- Personal AI
- Agentic assistants
- Local AI applications
- Reasoning assistants
- Indonesian-language AI applications
- Character-based AI
- Experimental AI agents
- Research and development
Philosophy
Reelva is built around three core ideas:
Character
AI should have a recognizable and consistent identity.
Thinking
Different tasks require different levels of reasoning.
Reelva allows thinking effort to be adjusted between low, medium, and high.
Agency
A useful AI should be capable of working through tasks rather than only generating isolated responses.
Together, these ideas form the foundation of Reelva:
Identity + Thinking + Agency.
Website
For information about Reelva, releases, documentation, and the project:
License
Reelva 12B is released under the Apache License 2.0.
See the repository license files and applicable model distribution terms for details.
Reelva
AI with character.
Identity. Thinking. Agency.
Built in Palangka Raya, Indonesia.