ExpertiaMath (Q4_K_M)

Spanish-first mathematics specialist: formal definitions + formulae, no web opinion. Fine-tuned from microsoft/Phi-4-mini-reasoning (MIT) with QLoRA r16 on 45k Wikidata-derived definition/formula pairs (+5k validation), 3 epochs on RTX 3070.

Evaluation (500 held-out samples)

Perplexity
Base 827.1
+ adapter 63.8 (-92.3%)

Production: 0.89 quality, 100% cycle success, ~310 pkgs/cycle in the Expertia pipeline.

Variants in this repo

File Size Needs Use
expertia-math-q4_k_m.gguf 2.5GB 6GB VRAM Daily inference (Ollama)
expertia-math-f16.gguf 7.7GB 16GB VRAM Max quality inference
fp16/ 7.2GB โ€” Base for further fine-tuning

Usage (Ollama)

ollama create ExpertiaMath -f Modelfile-ExpertiaMath-Q4

Note: GGUF uses gpt-2 pre-tokenizer (Ollama โ‰ค0.33.3 does not know phi-3); set num_ctx 8192 (Qwen-family 256K default loads 43GB otherwise).

Limitations

Narrow domain specialist (mathematics). Not a general assistant. Adapter weights: CC-BY-NC-4.0. Base model: MIT (Microsoft).

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