Experimental runtime artifact, published for local testing. This F16 GGUF is a conversion of the Pomona Nutrient/pH-EC v0.1.1 correction LoRA merged into Qwen/Qwen2.5-0.5B-Instruct.

The source adapter's independent 140-case semantic evaluation passed valid JSON, allowed labels/actions, nutrient label F1, blocked-action F1, and human-review match at 1.0. The conversion was evaluated with the exact training prompt on the same 140-case holdout, but is not release-ready: valid JSON and schema compliance were 1.0000, allowed-label rate was 0.8571, nutrient-label F1 was 0.6690, blocked-action F1 was 0.8571, and human-review match was 0.8571. Normal and missing-critical-data cases were the main failures. These runtime results do not represent the quality of the source PEFT adapter.

The Pomona guarded hybrid path applies deterministic rules after model generation. With that guard enabled, the same 140-case holdout reached valid JSON, allowed labels/actions, nutrient label F1, blocked-action F1, and human-review match of 1.0000 in every category. This measures the complete Pomona deployment path, not standalone GGUF reasoning.

Use only as an advisory component behind Pomona's deterministic nutrient and safety routes. Never use it to directly change fertigation, dose chemicals, control actuators, or diagnose disease.

Local Ollama name prepared: pomona-nutrient-ph-ec:v0.1.1.

Related platform: okyanu/pomona

Pull directly from Hugging Face with Ollama:

Verified on a clean pull: 994 MB download, ~1.1 GB RAM while loaded (100% GPU offload reported on Apple Silicon), under 2 seconds per inference once loaded. The local Ollama wrapper used for internal testing was:

Use the exact task prompt and keep deterministic validation in front of any fertigation workflow. A prompt or runtime wrapper is not a substitute for the deterministic Pomona safety route. Model-only output is not guaranteed schema-perfect even with format: json — see the evaluation numbers above.

For the guarded path, use scripts/models/guard_nutrient_ph_ec_output.py or the Pomona model-router deterministic route. guarded_evaluation.json records the guarded result; evaluation.json records the unguarded model-only result.

This package is structurally uploadable as an experimental conversion, but it is not an approved production or release-candidate runtime. The canonical PEFT LoRA remains the reference artifact until this conversion passes an independent full holdout.