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ratio1/edgeguard-cypher-qwen3-4b-v0.8-feedback-validated-gguf

sourceHugging Faceapache-2.0updated 3mo agoView on Hugging Face

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Model Card

EdgeGuard Cypher Qwen3 4B v0.8 Feedback-Validated GGUF

Private GGUF export for EdgeGuard direct text-to-Cypher edge-node runtime use. This preview continues EGM-026 v0.8 feedback-validated LoRA.

Artifact

—File: edgeguard-cypher-qwen3-4b-v0.8-feedback-validated.Q4_K_M.gguf
—Format: GGUF
—Quantization: Q4_K_M
—SHA256: 1da636448aafe9f2ff1826008e5f6f10ccd33488172c386f84783b0f5b485f77
—Size bytes: 2497278816

Source

—Base model: Qwen/Qwen3-4B-Instruct-2507
—Base revision: cdbee75f17c01a7cc42f958dc650907174af0554
—Source adapter SHA256: 9dced541868ccb6a8977591b8e79bc1ce4824f2cacebb0e369366ac529addf8d
—Training target: assistant output is one valid read-only Cypher query string only.

Method

Merged EGM-026 QLoRA adapter into pinned Qwen/Qwen3-4B-Instruct-2507 revision cdbee75f17c01a7cc42f958dc650907174af0554, converted to BF16 GGUF, then quantized to Q4KM for edge-node.

Evaluation Summary

Best raw EdgeGuard Cypher model so far on the frozen v0.8 bundle: validation subgraph accepted 99/100, sealed-test subgraph accepted 98/100, probe subgraph accepted 197/200, scalar regressions 0. Generated-live hard success is 173/180 = 96.1% when no-graph rows are non-blocking; no-graph rows are 13.

Promotion Status

Private edge-node GGUF publication. No-graph live results are accepted as empty/coverage results; hard live failures remain 4 planner failures and 3 execution failures. Use behind the EdgeGuard schema/read-only validator.

Runtime

The intended consumer is edge-node LLM_INFERENCE_API through LlamaCppBaseServingProcess, using either Hugging Face MODEL_NAME + MODEL_FILENAME or a mounted local MODEL_PATH.

Recommended edge-node values:

text

AI_ENGINE=edgeguard_qwen_4b
MODEL_NAME=ratio1/edgeguard-cypher-qwen3-4b-v0.8-feedback-validated-gguf
MODEL_FILENAME=edgeguard-cypher-qwen3-4b-v0.8-feedback-validated.Q4_K_M.gguf

This model must be used behind the EdgeGuard schema/read-only validator. Do not execute raw model output directly against Neo4j.