mythos_fast

mythos_fast : GGUF

Model Description

mythos_fast is a fine-tuned version of WeiboAI/VibeThinker-3B, adapted for custom tool-use and agentic task execution. The base model was trained on a rich dataset of approximately 2 million samples covering multi-step tool calls, function-calling formats, and agent-style reasoning traces, then converted to GGUF format for efficient local inference with llama.cpp.

Training Details

• Base model: WeiboAI/VibeThinker-3B
• Fine-tuning focus: tool-use / function calling, agentic task completion
• Dataset size: ~2,000,000 samples
• Output format: GGUF (F16)

Available Model Files

• VibeThinker-3B.F16.gguf

Usage

For text-only LLMs:

llama-cli -hf Shadow0482/mythos_fast --jinja

For multimodal models:

llama-mtmd-cli -hf Shadow0482/mythos_fast --jinja

Intended Use

This model is intended for local inference scenarios that require tool-calling and agent-style task execution, such as autonomous agents, function-calling pipelines, and multi-step reasoning workflows.

Limitations

Performance on tool-use tasks depends on the format and structure of tool definitions provided at inference time. Results may vary outside the training distribution covered by the fine-tuning dataset.