Someone Fine-Tuned OpenBMB’s MiniCPM5-1B on Claude Fable 5 Traces to Ship a 657MB Local Thinking Model
MarkTechPost Michal Sutter
A community developer released MiniCPM5-1B-Claude-Opus-Fable5-Thinking, a 1.08B-parameter open-source model fine-tuned on Claude outputs to run locally without API calls. The smallest GGUF quantization is 657MB and runs on standard hardware via llama.cpp, Ollama, and similar runtimes. The fine-tuning transferred response format and style from Claude but does not replicate frontier reasoning capabilities, and no benchmarks or training dataset have been published to verify its claims.
Why it matters
A community developer fine-tuned OpenBMB's MiniCPM5-1B on Claude Fable 5 traces into a 1B model that runs fully local — a 657MB smallest build, 128K context, and visible reasoning. We verify every spec against the Hugging Face cards, separate what a fine-tune actually inherits from real capability, and flag the licensing question the model card leaves open. The post Someone Fine-Tuned OpenBMB’s MiniCPM5-1B on Claude Fable 5 Traces to Ship a 657MB Local Thinking Model appeared first on MarkTechPost.
