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odysseus/scripts/import_from_vllm_recipes.py
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Python
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#!/usr/bin/env python3
"""Import models from the upstream vllm-project/recipes catalog into our
local hf_models.json. Two modes:
--update-existing Stamp min_vllm_version + vllm_recipe=True on rows we
already carry. Cheap, no HF API calls.
--add-missing Create new catalog rows for every recipe model we
don't carry. Hits the HF API for created_at + downloads
(~1 req per missing model, paced).
Both modes write atomically (tmp + rename) so a crashed run leaves the
catalog intact. Default with no mode flags runs both, prefer to pass them
explicitly.
Usage:
python scripts/import_from_vllm_recipes.py --update-existing
python scripts/import_from_vllm_recipes.py --add-missing
python scripts/import_from_vllm_recipes.py --dry-run
python scripts/import_from_vllm_recipes.py --limit 10
Auth: set HF_TOKEN to access gated repos when --add-missing.
"""
import argparse
import json
import os
import re
import sys
import time
from datetime import datetime
from pathlib import Path
try:
import httpx
import yaml
except ImportError:
print("pip install httpx PyYAML", file=sys.stderr)
sys.exit(1)
try:
from huggingface_hub import HfApi
from huggingface_hub.utils import HfHubHTTPError
except ImportError:
HfApi = None
HfHubHTTPError = Exception
CATALOG_PATH = Path(__file__).resolve().parent.parent / "services" / "hwfit" / "data" / "hf_models.json"
RECIPES_TREE_URL = (
"https://api.github.com/repos/vllm-project/recipes/git/trees/main?recursive=1"
)
RECIPE_RAW_URL = (
"https://raw.githubusercontent.com/vllm-project/recipes/main/models/{repo}.yaml"
)
# Map recipe `precision` to the closest catalog `quantization` label that
# fit.py / models.py already understand.
_PRECISION_TO_QUANT = {
"fp8": "FP8",
"nvfp4": "NVFP4",
"mxfp4": "MXFP4",
"bf16": "BF16",
"fp16": "F16",
"f16": "F16",
"fp4": "FP4",
"int8": "INT8",
"int4": "INT4",
"awq-4bit": "AWQ-4bit",
"awq-8bit": "AWQ-8bit",
}
# Architecture name → use_case fallback. fit.py weights use_case for filtering;
# missing field defaults to a generic bucket.
_ARCH_USE_CASE = {
"moe": "General-purpose reasoning, long-context",
"llama": "General-purpose chat",
"qwen2": "General-purpose chat",
"qwen3": "General-purpose reasoning",
"deepseek_v3_moe": "General-purpose reasoning, long-context",
"deepseek_v4_moe": "General-purpose reasoning, long-context",
}
def _parse_param_count(s) -> int:
"""'230B' / '8.6B' / '4.2T' → integer parameter count."""
if s is None:
return 0
s = str(s).strip().replace(",", "")
m = re.match(r"^([\d.]+)\s*([KMBT]?)$", s, re.I)
if not m:
return 0
num = float(m.group(1))
unit = (m.group(2) or "").upper()
mult = {"K": 1e3, "M": 1e6, "B": 1e9, "T": 1e12, "": 1.0}[unit]
return int(num * mult)
def _capabilities_for(arch: str, hardware: dict, ctx_len: int, has_reasoning: bool) -> list[str]:
caps = []
if "moe" in (arch or "").lower():
caps.append("moe")
if has_reasoning:
caps.append("reasoning")
if ctx_len and ctx_len >= 100_000:
caps.append("long_context")
if any(hw in (hardware or {}) for hw in ("mi300x", "mi325x", "mi350x", "mi355x")):
caps.append("amd_supported")
return caps
def _fetch_manifest(client: httpx.Client) -> set[str]:
r = client.get(RECIPES_TREE_URL, headers={"Accept": "application/vnd.github+json"}, timeout=15)
r.raise_for_status()
tree = (r.json() or {}).get("tree") or []
out: set[str] = set()
for e in tree:
path = (e or {}).get("path") or ""
if path.startswith("models/") and path.endswith(".yaml"):
body = path[len("models/"):-len(".yaml")]
if "/" in body:
out.add(body)
return out
def _fetch_recipe(client: httpx.Client, repo: str) -> dict | None:
url = RECIPE_RAW_URL.format(repo=repo)
try:
r = client.get(url, timeout=10)
if r.status_code != 200:
return None
return yaml.safe_load(r.text) or {}
except Exception:
return None
def _stamp_from_recipe(entry: dict, recipe: dict) -> bool:
"""Mutate entry with recipe-derived fields. Returns True if anything changed."""
model = recipe.get("model") or {}
meta = recipe.get("meta") or {}
features = recipe.get("features") or {}
changed = False
new_min = (model.get("min_vllm_version") or "").strip()
if new_min and entry.get("min_vllm_version") != new_min:
entry["min_vllm_version"] = new_min
changed = True
if not entry.get("vllm_recipe"):
entry["vllm_recipe"] = True
changed = True
# Hardware support map — useful for filtering "which models run on my AMD box".
hw = meta.get("hardware") or {}
if hw and entry.get("recipe_hardware") != hw:
entry["recipe_hardware"] = {k: str(v) for k, v in hw.items()}
changed = True
# Tool/reasoning parser hints — purely informational at catalog level;
# the live launch command builder still reads them from the recipe API.
if features.get("reasoning") and not entry.get("has_reasoning_parser"):
entry["has_reasoning_parser"] = True
changed = True
if features.get("tool_calling") and not entry.get("has_tool_call_parser"):
entry["has_tool_call_parser"] = True
changed = True
return changed
def _build_new_entry(repo: str, recipe: dict, hf_info=None) -> dict | None:
"""Build a fresh catalog entry from a recipe + (optional) HF model info."""
model = recipe.get("model") or {}
meta = recipe.get("meta") or {}
features = recipe.get("features") or {}
variants = recipe.get("variants") or {}
org, name = repo.split("/", 1)
raw_params = _parse_param_count(model.get("parameter_count"))
active_raw = _parse_param_count(model.get("active_parameters"))
ctx = model.get("context_length") or 0
# Pick the smallest-VRAM variant as the catalog quant — that's what most
# users land on first. NVFP4/MXFP4 typically win this on Blackwell;
# FP8 elsewhere; BF16 baseline only.
pick_quant = None
pick_vram = None
for vk, vv in variants.items():
if not isinstance(vv, dict):
continue
prec = (vv.get("precision") or "").lower()
vram = vv.get("vram_minimum_gb") or 0
quant = _PRECISION_TO_QUANT.get(prec)
if quant and (pick_vram is None or (vram and vram < pick_vram)):
pick_quant = quant
pick_vram = vram or pick_vram
if not pick_quant:
pick_quant = "BF16"
arch = (model.get("architecture") or "").lower()
use_case = _ARCH_USE_CASE.get(arch, "General-purpose chat")
caps = _capabilities_for(arch, meta.get("hardware") or {}, ctx, bool(features.get("reasoning")))
rel_date = ""
downloads = 0
likes = 0
if hf_info is not None:
created = getattr(hf_info, "created_at", None)
if created:
rel_date = created.strftime("%Y-%m-%d")
downloads = int(getattr(hf_info, "downloads", 0) or 0)
likes = int(getattr(hf_info, "likes", 0) or 0)
if not rel_date:
rel_date = str(meta.get("date_updated") or datetime.utcnow().strftime("%Y-%m-%d"))
entry: dict = {
"name": repo,
"provider": org,
"parameter_count": str(model.get("parameter_count") or "?"),
"parameters_raw": raw_params,
"is_moe": "moe" in arch,
"quantization": pick_quant,
"context_length": int(ctx or 0),
"use_case": use_case,
"capabilities": caps,
"pipeline_tag": "text-generation",
"architecture": arch or "unknown",
"hf_downloads": downloads,
"hf_likes": likes,
"release_date": rel_date,
# Recipe-derived bits.
"vllm_recipe": True,
"min_vllm_version": (model.get("min_vllm_version") or "").strip() or None,
"recipe_hardware": {k: str(v) for k, v in (meta.get("hardware") or {}).items()},
"has_reasoning_parser": bool(features.get("reasoning")),
"has_tool_call_parser": bool(features.get("tool_calling")),
}
if active_raw:
entry["active_parameters"] = active_raw
if pick_vram:
# min_vram_gb is what hwfit uses for "does this fit". Recipe states a
# minimum for the chosen variant; round up slightly for KV-cache room.
entry["min_vram_gb"] = float(pick_vram)
entry["min_ram_gb"] = float(round(pick_vram * 0.6, 1))
entry["recommended_ram_gb"] = float(round(pick_vram * 1.2, 1))
# Drop empty / None fields to keep the JSON tidy.
return {k: v for k, v in entry.items() if v not in (None, "", [], {})}
def main():
p = argparse.ArgumentParser(description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter)
p.add_argument("--update-existing", action="store_true", help="Stamp min_vllm_version + vllm_recipe on existing rows.")
p.add_argument("--add-missing", action="store_true", help="Add new rows for recipe models not in the catalog.")
p.add_argument("--limit", type=int, default=0, help="Stop after N recipe fetches.")
p.add_argument("--dry-run", action="store_true", help="Don't write back; just report.")
p.add_argument("--sleep", type=float, default=0.05, help="Seconds between HTTP requests.")
args = p.parse_args()
if not args.update_existing and not args.add_missing:
args.update_existing = args.add_missing = True
with CATALOG_PATH.open(encoding="utf-8") as f:
catalog = json.load(f)
by_name = {m.get("name"): m for m in catalog if m.get("name")}
client = httpx.Client(follow_redirects=True)
print(f"Catalog: {CATALOG_PATH} ({len(catalog)} entries)")
print("Fetching upstream manifest…")
try:
manifest = _fetch_manifest(client)
except Exception as e:
print(f"FATAL: manifest fetch failed: {e}", file=sys.stderr)
sys.exit(2)
print(f"Manifest: {len(manifest)} recipes")
existing = sorted(by_name.keys() & manifest)
missing = sorted(manifest - by_name.keys())
print(f"Match catalog ↔ manifest: existing={len(existing)} missing={len(missing)}")
targets: list[tuple[str, str]] = [] # (repo, action)
if args.update_existing:
targets.extend((r, "update") for r in existing)
if args.add_missing:
targets.extend((r, "add") for r in missing)
if args.limit:
targets = targets[: args.limit]
print(f"Targets: {len(targets)}")
hf_api = HfApi(token=os.environ.get("HF_TOKEN") or None) if HfApi else None
updated = added = skipped = 0
started = time.time()
for n, (repo, action) in enumerate(targets, 1):
recipe = _fetch_recipe(client, repo)
if not recipe:
print(f"[{n}/{len(targets)}] {repo:55} skip (no recipe fetched)")
skipped += 1
time.sleep(args.sleep)
continue
if action == "update":
entry = by_name[repo]
if _stamp_from_recipe(entry, recipe):
updated += 1
print(f"[{n}/{len(targets)}] {repo:55} updated")
else:
print(f"[{n}/{len(targets)}] {repo:55} unchanged")
else: # add
hf_info = None
if hf_api:
try:
hf_info = hf_api.model_info(repo, files_metadata=False)
except HfHubHTTPError as e:
code = getattr(getattr(e, "response", None), "status_code", "?")
print(f" HF {code} for {repo} — building from recipe only", file=sys.stderr)
except Exception as e:
print(f" HF error for {repo}: {e}", file=sys.stderr)
new_entry = _build_new_entry(repo, recipe, hf_info)
if new_entry:
catalog.append(new_entry)
by_name[repo] = new_entry
added += 1
print(f"[{n}/{len(targets)}] {repo:55} added ({new_entry.get('parameter_count','?')}, {new_entry.get('quantization','?')})")
else:
skipped += 1
print(f"[{n}/{len(targets)}] {repo:55} skip (couldn't build entry)")
time.sleep(args.sleep)
elapsed = time.time() - started
print()
print(f"Done in {elapsed:.1f}s — added={added}, updated={updated}, skipped={skipped}")
if args.dry_run:
print("Dry run — no write.")
return
if added or updated:
tmp = CATALOG_PATH.with_suffix(".json.tmp")
with tmp.open("w", encoding="utf-8") as f:
json.dump(catalog, f, indent=1, ensure_ascii=False)
f.write("\n")
tmp.replace(CATALOG_PATH)
print(f"Wrote {CATALOG_PATH} ({len(catalog)} entries)")
else:
print("No changes — catalog untouched.")
if __name__ == "__main__":
main()