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sparel
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Model Details
Model Provider
sparel
Model Tree
Qwen/Qwen2.5-7B-Instruct
Input Modalities
Output Modalities
Supported Functionality
Use the adapter to create reviewable structured evidence cards from supplied records. It does not predict hERG potency, establish cardiac risk, infer clinical outcomes, or replace scientific review.
The qsar_usable and exclude_reason fields are extraction outputs, not authoritative scientific or dataset-admission decisions. Recompute numerical-QSAR eligibility independently from the source fields before admitting a record to a QSAR dataset.
This adapter is not for clinical advice, patient-specific assessment, autonomous compound triage, safety conclusions, development decisions, or regulatory use.
Qwen/Qwen2.5-7B-Instructa09a35458c702b33eeacc393d103063234e8bc28q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_projUse the tokenizer and chat template supplied by Qwen/Qwen2.5-7B-Instruct at the pinned revision. This adapter does not add tokenizer tokens. Render the supplied record as plain text using the field order below.
Training used ChEMBL 37 public hERG/KCNH2 assay and activity records for target CHEMBL240. The web-services snapshot was retrieved on 2026-07-30: activities were written at 11:24:05 CEST, and assays plus the retrieval manifest completed at 11:24:30 CEST.
Query target: CHEMBL240. Source-file SHA-256 values: activities e7d76304534b3e2110c9b026cdb54ce2c32391b8b3ef8e2265dfcb08667c480a; assays 8f927acca9f2d61b07d91cfd1216853ba88ebe245b6e6ae40285987ae4ac4957; target f375681f4e0d8f2505cc376c0f552530f20eec643331f26f1eaec0f695f75c04. The adapter release contains no raw records, processed corpus, review material, generated outputs, or base-model weights.
ChEMBL data are available under CC BY-SA 3.0. This card is not legal advice; users are responsible for evaluating applicable attribution and downstream licensing obligations.
Final numerical-QSAR admission must be computed outside the model:
text
admit = endpoint == "IC50"and relation == "="and value is numeric and value > 0and units in {"nM", "uM"}and data_validity_comment is emptyand canonical_smiles is non-empty
Render one name: value line per field in this exact order:
text
assay_descriptionassay_typebao_labelstandard_typestandard_relationstandard_valuestandard_unitsstandard_text_valueactivity_commentdata_validity_commentpotential_duplicatecanonical_smiles
Use this instruction before the fields:
text
You are curating human KCNH2/hERG (CHEMBL240) records.Return JSON only: one flat object, no markdown, no explanation, no nesting, and no keys beyond this exact schema:{OUTPUT_SCHEMA}Rules: copy supported source values exactly; use null for unknown scalar fields; `qsar_usable` is true only for an exact, positive IC50 in nM/uM with no data-validity flag and a non-empty canonical SMILES; otherwise false and populate `exclude_reason` with the applicable policy reason(s).Assay/activity record:{fields}
json
{"assay_type": "string","target_name": "string","target_id": "string","target_confidence": "high | unknown","organism": "string | null","cell_line": "string | null","endpoint": "string","relation": "= | < | > | <= | >= | unknown","value": "string | null","units": "string | other","qsar_usable": true,"exclude_reason": ["string"],"curation_notes": "string"}
The adapter can produce valid JSON while making semantically unsuitable extraction decisions. Validate output syntax and source provenance, recompute hard eligibility rules deterministically, and route ambiguous records to qualified review.
adapter_model.safetensors SHA-256: 4caf4813197c7c18c86079cadfabdbc88644395c7fc6ab8c1cb019befb8da04a.adapter_config.json names the base model and pinned revision.LICENSE applies Apache-2.0 to this adapter package.Maintainer: Serge Parel.
Initial adapter-only release candidate.