"""Human-readable names of the MTEB-lite reference models (used by mteb_lite_release.py). Our models are described by their merge recipe only: which ADIP checkpoint(s) were merged into which base, with which method and coefficients. """ from __future__ import annotations import glob import re from pathlib import Path import yaml REPO = Path(__file__).resolve().parents[1] RELEASES = {"F-lin0.5": "ADIP-QCRI/ADIP-Embedding-v1-0.6B", "V5-ties-d0.1-l0.5": "ADIP-QCRI/ADIP-Embedding-v2-0.6B"} BASES = {"qwen3-0.6b": "Qwen/Qwen3-Embedding-0.6B", "qwen3-0.6b+norm": "Qwen/Qwen3-Embedding-0.6B + ADIP tokenizer", "qwen3-4b": "Qwen/Qwen3-Embedding-4B"} # merge-grid model aliases -> readable checkpoint names ALIAS = {"A": "ADIP-v3 (step 6750)", "S3": "ADIP-v3 stage-3", "V2": "ADIP-v2-ft", "P4355": "ADIP-v3 (step 4355)", "F": "ADIP-v3 (final)", "P": "ADIP-v3 (pre-rehearsal)", "V": "ADIP-v4", "S": "ADIP-v4 (stage 1)", "V5": "ADIP-v5", "S5": "ADIP-v5 (stage 1)"} # family (internal id prefix) -> readable family name FAMILY = [("AS3-", "ADIP-v3 (step 6750) + stage-3"), ("AV2-", "ADIP-v3 (step 6750) + ADIP-v2-ft"), ("V5-", "ADIP-v5"), ("S5-", "ADIP-v5 (stage 1)"), ("FV-", "ADIP-v3+v4"), ("Vq-", "ADIP-v3+v4"), ("F-", "ADIP-v3 (final)"), ("P-", "ADIP-v3 (pre-rehearsal)"), ("A-", "ADIP-v3 (step 6750)"), ("W-", "ADIP weighted soup"), ("V-", "ADIP-v4"), ("S-", "ADIP-v4 (stage 1)")] def _base_name(path: str) -> str: if "Qwen3-Embedding-0.6B" in path: return "Qwen3-Embedding-0.6B" if "adip-v3-final-lin0.5" in path: return "ADIP-Embedding-v1-0.6B" if "adip-v5-ties-d0.1-l0.5" in path: return "ADIP-Embedding-v2-0.6B" return Path(path).parent.parent.name def merge_specs() -> dict: """{spec name: (spec, base name)} from the merge grids.""" out = {} for g in sorted(glob.glob(str(REPO / "configs" / "merge" / "*.yaml"))): grid = yaml.safe_load(open(g)) for s in grid.get("specs", []): out.setdefault(s["name"], (s, _base_name(grid.get("base", "")))) return out def recipe(spec: dict, base: str) -> str: m, lam = spec["method"], spec["lam"] how = {"task_arith": f"linear merge λ={lam}", "ties": f"TIES d={spec.get('density')} λ={lam}", "dare": f"DARE p={spec.get('drop')} λ={lam}", "dare_ties": f"DARE-TIES p={spec.get('drop')} λ={lam}"}.get(m, m) ms = spec["models"] if spec.get("weights"): what = " + ".join(f"{w}·{ALIAS.get(a, a)}" for a, w in zip(ms, spec["weights"])) else: what = " + ".join(ALIAS.get(a, a) for a in ms) return f"{what}, {how} into {base}" def family_name(name: str) -> str: if name in BASES: return "Qwen3-Embedding base" for pre, fam in FAMILY: if name.startswith(pre): return fam return name _HF: dict = {} def public_hf_ids() -> dict: if not _HF: for f in sorted(glob.glob(str(REPO / "configs" / "mteb_lite*models*.txt"))): for line in Path(f).read_text().splitlines(): p = line.split() if len(p) >= 2 and p[0].startswith("hf:"): _HF.setdefault(p[1], p[0][3:].partition("+")[0]) return _HF def describe(name: str) -> dict: """{display_name, family, type, recipe}.""" specs = merge_specs() if name in BASES: return {"display_name": BASES[name], "family": "Qwen3-Embedding base", "type": "Qwen base", "recipe": ""} if name in specs: spec, base = specs[name] rec = recipe(spec, base) if name in RELEASES: return {"display_name": RELEASES[name], "family": family_name(name), "type": "ADIP release", "recipe": rec} fam = family_name(name) disp = rec if rec.startswith(fam + ",") else f"{fam}: {rec}" return {"display_name": disp, "family": fam, "type": "ADIP merge", "recipe": rec} hf = public_hf_ids().get(name, name) return {"display_name": hf, "family": hf, "type": "public", "recipe": ""} if __name__ == "__main__": for n in ["F-lin0.5", "V5-ties-d0.1-l0.5", "A-lin0.5", "AS3-ties-d0.3-l0.5", "W-A0.7-S3-0.3-l0.5", "Vq-lin0.4", "V-lin0.7", "qwen3-0.6b+norm", "bge-small-en-v1.5", "LaBSE"]: print(n, "->", describe(n))