This is the vector-configuration finalist from Muta's ADTC fine-tuning campaign. It starts from Qwen/Qwen2.5-1.5B-Instruct, applies BF16 LoRA with rank 16 for 500 steps on a licence-clean multiple-choice math and science mixture, merges the adapter, and exports the result as Q4KM GGUF. Muta-Tutor-Qwen2.5-1.5B-Q4KM.gguf SHA-256: a750d00d458c6ab38925364ea1413db00648449180941e47025736d09922e1eb The candidate and untuned control were evaluated with the same GGUF conversion, quantization, prompt format, and GCP CPU-proxy harness. The repository includes the training manifest, licence-clean dataset manifest, artifact hashes, and the full fine-tuning summary. Performance was measured on a cloud…
Independent publisher
Timilehin Owolabi
timiiowolabi
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Models on Hugging Face3
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