ExpertiaElectronics (Q4_K_M)
Spanish-first electronics specialist: formal definitions + parameters + formulae where applicable.
Fine-tuned from microsoft/Phi-4-mini-reasoning (MIT) with QLoRA r16 on 43MB
puro pairs (StackExchange + Wikipedia + TI/Sparql harvests), 3 epochs on RTX 3070 (seq1024, BF16).
Evaluation (500 held-out samples)
| Perplexity | |
|---|---|
| Base | 1469.4 |
| + adapter | 36.0 (-97.5%) |
Variants in this repo
| File | Size | Needs | Use |
|---|---|---|---|
expertia-electronics-q4_k_m.gguf |
~2.5GB | 6GB VRAM | Daily inference (Ollama) |
expertia-electronics-f16.gguf |
~7.7GB | 16GB VRAM | Max quality inference |
fp16/ |
~7.2GB | โ | Base for further fine-tuning |
Usage (Ollama)
ollama create expertia-electronics -f Modelfile-ExpertiaElectronics-Q4F
Note: GGUF uses gpt-2 pre-tokenizer; set num_ctx 8192.
Limitations
Narrow domain specialist (electronics). Adapter weights: CC-BY-NC-4.0. Base: MIT.
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐ Ask for provider support
Model tree for OscarFeMa/ExpertiaElectronics-r16
Base model
microsoft/Phi-4-mini-reasoning