fix(studio/mmproj): block cross-family projectors in flat local GGUF dirs (#5347) (#5350)

* fix(studio/mmproj): block cross-family projectors in flat local GGUF dirs (#5347)

When a flat local GGUF directory holds several unrelated models with their
own mmproj siblings, detect_mmproj_file() returned the first projector it
walked into. For the layout reported in #5347 (Qwen weights + a Gemma
mmproj in the same dir) that meant llama-server was launched with
--mmproj pointing at the Gemma projector, which fails to load and surfaces
as a confusing crash.

Disambiguation rules:
- Drop candidates whose family token (qwen/gemma/llama/mistral/phi/...)
  disagrees with the model's family. Candidates with no recognised
  family token (e.g. the HF-convention 'mmproj-F16.gguf') are kept.
- Among same-family candidates, prefer the one whose stem shares the
  longest prefix with the model (Qwen3.5-9B mmproj beats Qwen3.5-35B
  mmproj for a Qwen3.5-9B model).
- If every candidate is dropped, return None — better than attaching
  a wrong projector and getting a server-launch failure.

Tests cover the cross-family block, multi-candidate prefix tie-break,
HF-convention 'mmproj-F16.gguf', unrecognised families, and the
existing search_root walk.

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* studio/mmproj: word-bounded family match, expanded token list, launcher guard

Tighten the family-token detector to match only on word boundaries so
substring collisions stop tagging false families: phi no longer matches
sapphire, yi no longer matches yip, mimo no longer matches mimosa, and
mistral does not bleed into ministral/magistral/devstral. Pick the token
whose first occurrence is leftmost in the filename rather than the first
hit in tuple order, so merge models disambiguate predictably (llama-phi
tags llama; phi-llama tags phi).

Expand _MODEL_FAMILY_TOKENS with the families an audit of the unsloth
HF org turned up that the previous list missed: devstral, ministral,
magistral (Mistral-derivative naming), nemotron, kimi, nanonets, cosmos,
mimo, apriel, lfm. Without these, a flat local GGUF directory containing
one of these weights plus an unrelated renamed projector still hit the
original #5347 failure.

Add mmproj_matches_model_family() and call it at the llama-server launch
site in core/inference/llama_cpp.py. detect_mmproj_file already drops
cross-family candidates at discovery time, but mmproj_path can also reach
the launcher via config injection or future overrides; this guard keeps
those paths from silently loading a known-wrong projector.

Tests: 12 new cases covering substring rejection, leftmost-position
selection, new family tokens, a new flat-dir Nemotron + Gemma rejection
case, and the launcher-level guard. All 21 detect_mmproj_file tests and
the existing 106 llama_cpp tests pass.

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* studio/mmproj: pair via GGUF general.* metadata, not just filenames

Real Unsloth vision GGUFs carry rich identity metadata that has been
ignored by the discovery path. Every projector under the unsloth org
has general.type='mmproj' plus general.base_model.0.repo_url pointing
at the same upstream HF repo as its weight, and the equivalent
basename, base_model.0.name, and base_model.0.organization fields. A
flat-dir mismatch is therefore decidable from the headers alone, no
matter how the user has renamed the files.

Add utils/models/gguf_metadata.py with read_gguf_general_metadata():
a fast (~30 ms) header walk that pulls only the general.* string
fields and skips everything else, cached by (resolved path, mtime_ns,
size). Mirrors the parser shape already used by
LlamaCppBackend._read_gguf_metadata so the format handling is
consistent.

is_mmproj_by_metadata() returns True/False/None from general.type,
and pairing_score() returns 100 for an exact base_model URL match,
80 for basename plus organization match, 60 for basename only, -1
for definitive metadata disagreement, and 0 when neither side has
enough metadata to decide.

Rewire detect_mmproj_file() to a two-stage selector:
  1. Detect projectors via metadata (general.type) when present, else
     fall back to the filename substring heuristic. This recovers
     headerless projectors AND projectors whose name does not contain
     'mmproj' but whose header advertises one.
  2. Score each candidate against the weight via pairing_score. Drop
     candidates with score -1 (definitive metadata disagreement). For
     candidates with score 0 (no usable metadata) fall back to the
     existing filename family-token check, dropping recognised-family
     mismatches. Pick the survivor with the highest (score,
     longest_prefix, -len(stem)) tuple, so a metadata URL match
     always wins over a filename-prefix match.

Tests: 16 new cases. tests/test_gguf_metadata.py covers the parser
(missing file, non-GGUF, string extraction, walking past arrays and
uint32s, cache invalidation by mtime/size) and the score helpers.
tests/test_detect_mmproj_file.py adds end-to-end cases that synthesise
real on-disk GGUF headers: URL match wins over a longer-prefix
sibling, URL mismatch returns None even when filenames match, a
projector named 'vision-projector.gguf' is still discovered via
general.type, and a 100-score header match outranks a near-perfect
filename prefix on a headerless candidate.

All 75 tests across detect_mmproj_file, gguf_metadata, llama_cpp
load progress, cached gguf routes, trained model scan, and vision
cache pass.

* studio/mmproj: shorten comments and docstrings across the #5347 changes

Trim verbose explanations to one-line statements of intent. The
behaviour is unchanged: 161 tests across detect_mmproj_file,
gguf_metadata, llama_cpp_load_progress (+ matrix), llama_server_args,
llama_cpp_cache_aware_disk_check, trained_model_scan, and vision_cache
all pass.

* studio/mmproj: shorten remaining detect_mmproj_file body comments

Trim the docstring and the dir-walking block comments inside
detect_mmproj_file to one-liners. Behaviour unchanged; 44 mmproj +
gguf_metadata + llama_cpp_load_progress tests pass.

* studio/mmproj: cap gguf_metadata cache below ceiling on every insert

The eviction branch popped exactly one entry when len >= max, so the
cache size could only converge to the cap when entries were added
slowly enough for natural growth. After a sandbox sim that reduced
the cap mid-run, len stayed above the cap because each insert popped
one and added one. Switch to a while loop so we evict until len is
strictly below the cap before inserting. Steady-state behaviour at
the default 4096 ceiling is unchanged.

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
This commit is contained in:
Tai An 2026-05-14 20:31:20 -07:00 committed by GitHub
commit 63c6750532
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
5 changed files with 949 additions and 42 deletions

View file

@ -2367,8 +2367,20 @@ class LlamaCppBackend:
if not Path(mmproj_path).is_file():
logger.warning(f"mmproj file not found: {mmproj_path}")
else:
cmd.extend(["--mmproj", mmproj_path])
logger.info(f"Using mmproj for vision: {mmproj_path}")
# #5347 guard for paths that bypass detect_mmproj_file.
from utils.models.model_config import (
mmproj_matches_model_family,
)
if not mmproj_matches_model_family(model_path, mmproj_path):
logger.warning(
f"Skipping mmproj with mismatched family: "
f"model={Path(model_path).name}, "
f"mmproj={Path(mmproj_path).name}"
)
else:
cmd.extend(["--mmproj", mmproj_path])
logger.info(f"Using mmproj for vision: {mmproj_path}")
# Option C: add --api-key for direct client access when enabled
import os as _os
@ -3747,7 +3759,7 @@ class LlamaCppBackend:
except json.JSONDecodeError:
logger.debug(
f"Skipping malformed SSE line: " f"{line[:100]}"
f"Skipping malformed SSE line: {line[:100]}"
)
if _stream_done:
break # exit outer for

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@ -0,0 +1,326 @@
# SPDX-License-Identifier: AGPL-3.0-only
# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0
"""Tests for :func:`utils.models.model_config.detect_mmproj_file` (#5347)."""
from __future__ import annotations
from pathlib import Path
import struct
from utils.models.model_config import (
_detect_family_token,
detect_mmproj_file,
mmproj_matches_model_family,
)
_GGUF_MAGIC = 0x46554747
def _gguf_with_general(path: Path, fields: dict) -> Path:
"""Write a minimal GGUF with only ``general.*`` string KVs."""
body = b""
for k, v in fields.items():
kb = k.encode("utf-8")
vb = v.encode("utf-8")
body += struct.pack("<Q", len(kb)) + kb
body += struct.pack("<I", 8) # STRING vtype
body += struct.pack("<Q", len(vb)) + vb
header = struct.pack("<IIQQ", _GGUF_MAGIC, 3, 0, len(fields))
path.parent.mkdir(parents = True, exist_ok = True)
path.write_bytes(header + body)
return path
def _touch(path: Path) -> Path:
path.parent.mkdir(parents = True, exist_ok = True)
path.write_bytes(b"")
return path
def test_returns_none_when_no_mmproj(tmp_path: Path):
model = _touch(tmp_path / "Qwen3.5-9B-Q4_K_M.gguf")
assert detect_mmproj_file(str(model)) is None
def test_single_matching_family_mmproj_picked(tmp_path: Path):
"""Single same-family projector: returned (historical behaviour)."""
model = _touch(tmp_path / "Qwen3.5-9B-Q4_K_M.gguf")
mmproj = _touch(tmp_path / "Qwen3.5-9B-BF16-mmproj.gguf")
assert detect_mmproj_file(str(model)) == str(mmproj.resolve())
def test_hf_style_unprefixed_mmproj_still_works(tmp_path: Path):
"""HF convention: weight + ``mmproj-F16.gguf`` sibling."""
model = _touch(tmp_path / "model.gguf")
mmproj = _touch(tmp_path / "mmproj-F16.gguf")
assert detect_mmproj_file(str(model)) == str(mmproj.resolve())
def test_blocks_single_cross_family_projector(tmp_path: Path):
"""#5347 core: Qwen weight + lone Gemma mmproj returns None."""
model = _touch(tmp_path / "Qwen3.5-9B-Q4_K_M.gguf")
_touch(tmp_path / "gemma-4-26B-A4B-it.mmproj-q8_0.gguf")
assert detect_mmproj_file(str(model)) is None
def test_picks_matching_family_among_mixed_candidates(tmp_path: Path):
"""Mixed Qwen + Gemma projectors: pick Qwen, drop Gemma."""
model = _touch(tmp_path / "Qwen3.5-9B-Q4_K_M.gguf")
qwen_mm = _touch(tmp_path / "Qwen3.5-9B-BF16-mmproj.gguf")
_touch(tmp_path / "gemma-4-26B-A4B-it.mmproj-q8_0.gguf")
assert detect_mmproj_file(str(model)) == str(qwen_mm.resolve())
def test_prefers_longest_prefix_within_same_family(tmp_path: Path):
"""Same family, different sizes: longest shared stem prefix wins."""
model = _touch(tmp_path / "Qwen3.5-35B-A3B-UD-Q4_K_L.gguf")
_touch(tmp_path / "Qwen3.5-9B-BF16-mmproj.gguf")
big_mm = _touch(tmp_path / "Qwen3.5-35B-A3B-BF16-mmproj.gguf")
assert detect_mmproj_file(str(model)) == str(big_mm.resolve())
def test_unrecognised_family_does_not_break_detection(tmp_path: Path):
"""Unknown model family must not return None on a sole candidate."""
model = _touch(tmp_path / "MyCustomBrand-7B-Q4_K_M.gguf")
mmproj = _touch(tmp_path / "MyCustomBrand-7B-BF16-mmproj.gguf")
assert detect_mmproj_file(str(model)) == str(mmproj.resolve())
def test_directory_path_returns_first_candidate(tmp_path: Path):
"""Directory path: no model stem to compare; legacy first-candidate."""
_touch(tmp_path / "Qwen3.5-9B-BF16-mmproj.gguf")
_touch(tmp_path / "gemma-4-26B-A4B-it.mmproj-q8_0.gguf")
result = detect_mmproj_file(str(tmp_path))
assert result is not None
assert "mmproj" in Path(result).name.lower()
def test_search_root_walk_still_works(tmp_path: Path):
"""Snapshot layout: weight in quant subdir, mmproj at snapshot root."""
snapshot = tmp_path / "snapshot"
weight = _touch(snapshot / "BF16" / "Qwen3.5-9B-BF16.gguf")
mmproj = _touch(snapshot / "Qwen3.5-9B-BF16-mmproj.gguf")
result = detect_mmproj_file(str(weight), search_root = str(snapshot))
assert result == str(mmproj.resolve())
# -- Family token detection: word-bounded matching ----------------------
def test_family_token_phi_does_not_match_sapphire():
"""``phi`` substring inside ``sapphire`` must not tag Phi."""
assert _detect_family_token("sapphire-7b-q4_k_m.gguf") is None
def test_family_token_yi_does_not_match_tinyish_names():
"""``yi`` must not cross letter boundaries (``yip``)."""
assert _detect_family_token("yip-7b.gguf") is None
assert _detect_family_token("yi-vl-6b.gguf") == "yi"
def test_family_token_mimo_does_not_match_mimosa():
"""``mimo`` must not tag ``mimosa``."""
assert _detect_family_token("mimosa-rosa-7b.gguf") is None
assert _detect_family_token("MiMo-VL-7B-RL-BF16.gguf") == "mimo"
def test_family_token_mistral_does_not_match_ministral():
"""Pin Mistral-derivative tagging."""
assert _detect_family_token("Ministral-3-8B-Instruct-2512-BF16.gguf") == "ministral"
assert _detect_family_token("Mistral-7B-Instruct-v0.3.gguf") == "mistral"
assert _detect_family_token("Magistral-Small-2506-BF16.gguf") == "magistral"
assert (
_detect_family_token("Devstral-Small-2-24B-Instruct-2512-BF16.gguf")
== "devstral"
)
def test_family_token_picks_leftmost_when_multiple_present():
"""Leftmost family token wins, not tuple order."""
assert _detect_family_token("llama-phi-merge.gguf") == "llama"
assert _detect_family_token("phi-llama-merge.gguf") == "phi"
assert _detect_family_token("llama3-3b-instruct.gguf") == "llama"
def test_family_token_new_families_recognised():
"""Catalogue-audit additions tag correctly."""
assert _detect_family_token("NVIDIA-Nemotron-3-Nano-Omni-30B.gguf") == "nemotron"
assert _detect_family_token("Kimi-K2.6-BF16.gguf") == "kimi"
assert _detect_family_token("Nanonets-OCR-s-BF16.gguf") == "nanonets"
assert _detect_family_token("Cosmos-Reason1-7B-BF16.gguf") == "cosmos"
assert _detect_family_token("Apriel-1.5-15b-Thinker-BF16.gguf") == "apriel"
assert _detect_family_token("LFM2.5-VL-1.6B-BF16.gguf") == "lfm"
# -- Cross-family rejection with the expanded token list ----------------
def test_blocks_cross_family_for_new_token_pair(tmp_path: Path):
"""Nemotron weight + lone Gemma projector returns None."""
model = _touch(
tmp_path / "NVIDIA-Nemotron-3-Nano-Omni-30B-A3B-Reasoning-MXFP4_MOE.gguf"
)
_touch(tmp_path / "gemma-4-26B-A4B-it.mmproj-q8_0.gguf")
assert detect_mmproj_file(str(model)) is None
def test_picks_devstral_mmproj_in_mixed_dir(tmp_path: Path):
"""Devstral weight + Devstral mmproj + a Qwen mmproj: pick Devstral."""
model = _touch(tmp_path / "Devstral-Small-2-24B-Instruct-2512-BF16.gguf")
dev_mm = _touch(tmp_path / "Devstral-Small-2-mmproj-bf16.gguf")
_touch(tmp_path / "Qwen3.5-9B-BF16-mmproj.gguf")
assert detect_mmproj_file(str(model)) == str(dev_mm.resolve())
# -- Launcher-level family guard ----------------------------------------
def test_mmproj_family_guard_blocks_cross_family():
assert (
mmproj_matches_model_family(
"/models/Qwen3.5-9B-Q4_K_M.gguf",
"/models/gemma-4-26B-A4B-it.mmproj-q8_0.gguf",
)
is False
)
def test_mmproj_family_guard_allows_same_family():
assert (
mmproj_matches_model_family(
"/models/Qwen3.5-9B-Q4_K_M.gguf",
"/models/Qwen3.5-9B-BF16-mmproj.gguf",
)
is True
)
def test_mmproj_family_guard_allows_generic_hf_mmproj():
"""No family token on the projector: wildcard."""
assert (
mmproj_matches_model_family(
"/models/Qwen3.5-9B-Q4_K_M.gguf",
"/models/mmproj-F16.gguf",
)
is True
)
def test_mmproj_family_guard_allows_unrecognised_model_family():
"""No family token on the model: wildcard."""
assert (
mmproj_matches_model_family(
"/models/Apriel-1.5-15b-Thinker-BF16.gguf",
"/models/mmproj-F16.gguf",
)
is True
)
# -- Metadata-primary pairing in detect_mmproj_file ---------------------
def test_metadata_url_match_picked_over_filename_lookalike(tmp_path: Path):
"""URL match beats a longer-prefix sibling."""
weight = _gguf_with_general(
tmp_path / "Qwen3.5-9B-Q4_K_M.gguf",
{
"general.architecture": "qwen2vl",
"general.type": "model",
"general.basename": "Qwen3.5",
"general.base_model.0.repo_url": "https://huggingface.co/Qwen/Qwen3.5-9B",
},
)
# Closer filename prefix, wrong upstream.
_gguf_with_general(
tmp_path / "Qwen3.5-9B-mmproj-bf16.gguf",
{
"general.architecture": "clip",
"general.type": "mmproj",
"general.basename": "Qwen3.5",
"general.base_model.0.repo_url": "https://huggingface.co/Qwen/Qwen3.5-1.5B",
},
)
# Matching upstream.
correct = _gguf_with_general(
tmp_path / "mmproj-BF16.gguf",
{
"general.architecture": "clip",
"general.type": "mmproj",
"general.basename": "Qwen3.5",
"general.base_model.0.repo_url": "https://huggingface.co/Qwen/Qwen3.5-9B",
},
)
assert detect_mmproj_file(str(weight)) == str(correct.resolve())
def test_metadata_url_mismatch_dropped(tmp_path: Path):
"""Filenames match family but metadata disagrees: returns None."""
weight = _gguf_with_general(
tmp_path / "qwen-9b.gguf",
{
"general.architecture": "qwen2vl",
"general.type": "model",
"general.base_model.0.repo_url": "https://huggingface.co/Qwen/Qwen3.5-9B",
},
)
_gguf_with_general(
tmp_path / "qwen-9b-mmproj.gguf",
{
"general.architecture": "clip",
"general.type": "mmproj",
"general.base_model.0.repo_url": "https://huggingface.co/google/gemma-3-9B",
},
)
assert detect_mmproj_file(str(weight)) is None
def test_metadata_identifies_mmproj_without_filename_hint(tmp_path: Path):
"""Projector named ``vision-projector.gguf`` discovered via header."""
weight = _gguf_with_general(
tmp_path / "Qwen3.5-9B.gguf",
{
"general.architecture": "qwen2vl",
"general.type": "model",
"general.basename": "Qwen3.5",
"general.base_model.0.repo_url": "https://huggingface.co/Qwen/Qwen3.5-9B",
},
)
projector = _gguf_with_general(
tmp_path / "vision-projector.gguf",
{
"general.architecture": "clip",
"general.type": "mmproj",
"general.basename": "Qwen3.5",
"general.base_model.0.repo_url": "https://huggingface.co/Qwen/Qwen3.5-9B",
},
)
assert detect_mmproj_file(str(weight)) == str(projector.resolve())
def test_metadata_score_outranks_filename_prefix(tmp_path: Path):
"""Score 100 (URL match) beats score 0 (long filename prefix)."""
weight = _gguf_with_general(
tmp_path / "Qwen3.5-9B-Q4_K_M.gguf",
{
"general.architecture": "qwen2vl",
"general.type": "model",
"general.basename": "Qwen3.5",
"general.base_model.0.repo_url": "https://huggingface.co/Qwen/Qwen3.5-9B",
},
)
# Headerless: long shared stem, score 0.
_touch(tmp_path / "Qwen3.5-9B-Q4_K_M-mmproj.gguf")
# Headered: generic name, score 100.
correct = _gguf_with_general(
tmp_path / "mmproj-BF16.gguf",
{
"general.architecture": "clip",
"general.type": "mmproj",
"general.base_model.0.repo_url": "https://huggingface.co/Qwen/Qwen3.5-9B",
},
)
assert detect_mmproj_file(str(weight)) == str(correct.resolve())

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@ -0,0 +1,216 @@
# SPDX-License-Identifier: AGPL-3.0-only
# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0
"""Tests for :mod:`utils.models.gguf_metadata`. Synthesise small GGUF
headers in tmp dirs so we never depend on real model files."""
from __future__ import annotations
import struct
from pathlib import Path
from typing import Iterable, Mapping
from utils.models.gguf_metadata import (
is_mmproj_by_metadata,
pairing_score,
read_gguf_general_metadata,
)
_GGUF_MAGIC = 0x46554747
_VTYPE_STRING = 8
_VTYPE_UINT32 = 4
_VTYPE_ARRAY = 9
def _enc_string(s: str) -> bytes:
b = s.encode("utf-8")
return struct.pack("<Q", len(b)) + b
def _enc_kv_string(key: str, value: str) -> bytes:
return _enc_string(key) + struct.pack("<I", _VTYPE_STRING) + _enc_string(value)
def _enc_kv_uint32(key: str, value: int) -> bytes:
return (
_enc_string(key) + struct.pack("<I", _VTYPE_UINT32) + struct.pack("<I", value)
)
def _enc_kv_string_array(key: str, values: Iterable[str]) -> bytes:
vals = list(values)
out = _enc_string(key) + struct.pack("<I", _VTYPE_ARRAY)
out += struct.pack("<I", _VTYPE_STRING) + struct.pack("<Q", len(vals))
for v in vals:
out += _enc_string(v)
return out
def _write_synthetic_gguf(
path: Path,
general_strings: Mapping[str, str],
*,
extra_uint32: Mapping[str, int] | None = None,
extra_string_arrays: Mapping[str, Iterable[str]] | None = None,
) -> Path:
"""Minimal GGUF: header + KV body, no tensors."""
extra_uint32 = extra_uint32 or {}
extra_string_arrays = extra_string_arrays or {}
kv_count = len(general_strings) + len(extra_uint32) + len(extra_string_arrays)
body = b""
for k, v in general_strings.items():
body += _enc_kv_string(k, v)
for k, v in extra_uint32.items():
body += _enc_kv_uint32(k, v)
for k, v in extra_string_arrays.items():
body += _enc_kv_string_array(k, v)
header = struct.pack(
"<IIQQ",
_GGUF_MAGIC,
3, # version
0, # tensor_count
kv_count,
)
path.parent.mkdir(parents = True, exist_ok = True)
path.write_bytes(header + body)
return path
# --- read_gguf_general_metadata ----------------------------------------
def test_returns_none_for_missing_file(tmp_path: Path):
assert read_gguf_general_metadata(str(tmp_path / "nope.gguf")) is None
def test_returns_none_for_non_gguf(tmp_path: Path):
p = tmp_path / "garbage.gguf"
p.write_bytes(b"not a gguf file at all, just bytes")
assert read_gguf_general_metadata(str(p)) is None
def test_extracts_general_string_fields(tmp_path: Path):
p = _write_synthetic_gguf(
tmp_path / "model.gguf",
{
"general.architecture": "qwen2vl",
"general.type": "model",
"general.basename": "Qwen3.5",
"general.organization": "Qwen",
"general.base_model.0.repo_url": "https://huggingface.co/Qwen/Qwen3.5-9B",
"general.base_model.0.name": "Qwen3.5 9B",
"general.base_model.0.organization": "Qwen",
},
)
meta = read_gguf_general_metadata(str(p))
assert meta is not None
assert meta["general.architecture"] == "qwen2vl"
assert meta["general.basename"] == "Qwen3.5"
assert (
meta["general.base_model.0.repo_url"]
== "https://huggingface.co/Qwen/Qwen3.5-9B"
)
def test_skips_unrelated_fields_without_breaking(tmp_path: Path):
"""Skip unwanted arrays and uint32s without losing position."""
p = _write_synthetic_gguf(
tmp_path / "model.gguf",
{"general.basename": "Foo"},
extra_uint32 = {"qwen2vl.context_length": 32768},
extra_string_arrays = {"tokenizer.ggml.tokens": ["a", "bc", "def"]},
)
meta = read_gguf_general_metadata(str(p))
assert meta == {"general.basename": "Foo"}
def test_metadata_is_cached(tmp_path: Path):
"""Cache invalidates on size change."""
p = _write_synthetic_gguf(
tmp_path / "model.gguf",
{"general.basename": "First"},
)
first = read_gguf_general_metadata(str(p))
assert first == {"general.basename": "First"}
# Force size change so the (path, mtime, size) key invalidates.
_write_synthetic_gguf(
tmp_path / "model.gguf",
{"general.basename": "Second", "general.organization": "X"},
)
second = read_gguf_general_metadata(str(p))
assert second == {"general.basename": "Second", "general.organization": "X"}
# --- is_mmproj_by_metadata --------------------------------------------
def test_is_mmproj_by_metadata_signals():
assert is_mmproj_by_metadata({"general.type": "mmproj"}) is True
assert is_mmproj_by_metadata({"general.type": "MMProj"}) is True
assert is_mmproj_by_metadata({"general.type": "model"}) is False
assert is_mmproj_by_metadata({"general.basename": "foo"}) is None
assert is_mmproj_by_metadata({}) is None
assert is_mmproj_by_metadata(None) is None
# --- pairing_score -----------------------------------------------------
def test_pairing_score_base_model_url_match():
weight = {
"general.base_model.0.repo_url": "https://huggingface.co/Qwen/Qwen3.5-9B",
}
mmproj = {
"general.base_model.0.repo_url": "https://huggingface.co/Qwen/Qwen3.5-9B",
}
assert pairing_score(weight, mmproj) == 100
def test_pairing_score_base_model_url_mismatch():
weight = {
"general.base_model.0.repo_url": "https://huggingface.co/Qwen/Qwen3.5-9B",
}
mmproj = {
"general.base_model.0.repo_url": "https://huggingface.co/google/gemma-3-9B",
}
assert pairing_score(weight, mmproj) == -1
def test_pairing_score_base_model_url_trailing_slash_normalised():
weight = {
"general.base_model.0.repo_url": "https://huggingface.co/Qwen/Qwen3.5-9B/",
}
mmproj = {
"general.base_model.0.repo_url": "https://huggingface.co/Qwen/Qwen3.5-9B",
}
assert pairing_score(weight, mmproj) == 100
def test_pairing_score_basename_plus_org_fallback():
weight = {
"general.basename": "Nanonets-Ocr-S",
"general.base_model.0.organization": "Nanonets",
}
mmproj = {
"general.basename": "Nanonets-Ocr-S",
"general.base_model.0.organization": "Nanonets",
}
assert pairing_score(weight, mmproj) == 80
def test_pairing_score_basename_only_fallback():
assert (
pairing_score(
{"general.basename": "Nanonets-Ocr-S"},
{"general.basename": "Nanonets-Ocr-S"},
)
== 60
)
def test_pairing_score_no_overlap_returns_zero():
"""One side empty: scorer punts to filename fallback."""
assert pairing_score({"general.basename": "Foo"}, {}) == 0
assert pairing_score({}, {"general.basename": "Foo"}) == 0
assert pairing_score(None, {"general.basename": "Foo"}) == 0

View file

@ -0,0 +1,233 @@
# SPDX-License-Identifier: AGPL-3.0-only
# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0
"""Free-function ``general.*`` reader for GGUF headers, used by
``detect_mmproj_file`` to pair weights and projectors via
``general.base_model.0.repo_url``. ~30 ms per file, cached by
(path, mtime, size)."""
from __future__ import annotations
import os
import struct
import threading
from pathlib import Path
from typing import Dict, Optional, Tuple
from loggers import get_logger
logger = get_logger(__name__)
_GGUF_MAGIC = 0x46554747 # b"GGUF" LE u32
_WANTED_GENERAL_KEYS: frozenset[str] = frozenset(
{
"general.architecture",
"general.type",
"general.name",
"general.basename",
"general.organization",
"general.size_label",
"general.finetune",
"general.base_model.0.name",
"general.base_model.0.organization",
"general.base_model.0.repo_url",
"general.repo_url",
"general.source.url",
"general.source.repo_url",
"general.source.huggingface.repository",
}
)
# Cache failed parses too so a broken file is not retried each scan.
_CacheKey = Tuple[str, int, int]
_METADATA_CACHE: Dict[_CacheKey, Optional[Dict[str, str]]] = {}
_CACHE_LOCK = threading.Lock()
_CACHE_MAX_ENTRIES = 4096
def _cache_key(path: str) -> Optional[_CacheKey]:
try:
st = os.stat(path)
except OSError:
return None
try:
resolved = str(Path(path).resolve())
except OSError:
resolved = str(path)
return (resolved, st.st_mtime_ns, st.st_size)
def read_gguf_general_metadata(path: str) -> Optional[Dict[str, str]]:
"""Return ``general.*`` strings from a GGUF header, or ``None`` if
the file is missing, unreadable, or not a GGUF. ``{}`` means the
file is valid but carries none of the wanted keys."""
key = _cache_key(path)
if key is None:
return None
with _CACHE_LOCK:
if key in _METADATA_CACHE:
return _METADATA_CACHE[key]
result = _parse_gguf_header(path)
with _CACHE_LOCK:
# Arbitrary eviction; header reads are cheap so true LRU is overkill.
while len(_METADATA_CACHE) >= _CACHE_MAX_ENTRIES:
try:
_METADATA_CACHE.pop(next(iter(_METADATA_CACHE)))
except StopIteration:
break
_METADATA_CACHE[key] = result
return result
def _parse_gguf_header(path: str) -> Optional[Dict[str, str]]:
out: Dict[str, str] = {}
try:
with open(path, "rb") as f:
head = f.read(24)
if len(head) < 24:
return None
magic, _version, _tcount, kv_count = struct.unpack("<IIQQ", head)
if magic != _GGUF_MAGIC:
return None
for _ in range(kv_count):
try:
klen_bytes = f.read(8)
if len(klen_bytes) < 8:
break
klen = struct.unpack("<Q", klen_bytes)[0]
if klen > 1 << 20: # 1 MB sanity bound
break
kbytes = f.read(klen)
if len(kbytes) < klen:
break
key = kbytes.decode("utf-8", "replace")
vt_bytes = f.read(4)
if len(vt_bytes) < 4:
break
vtype = struct.unpack("<I", vt_bytes)[0]
if vtype == 8 and key in _WANTED_GENERAL_KEYS:
slen_bytes = f.read(8)
if len(slen_bytes) < 8:
break
slen = struct.unpack("<Q", slen_bytes)[0]
if slen > 1 << 22: # 4 MB sanity bound
break
sbytes = f.read(slen)
if len(sbytes) < slen:
break
out[key] = sbytes.decode("utf-8", "replace")
else:
if not _skip_gguf_value(f, vtype):
break
except (struct.error, UnicodeDecodeError):
break
except OSError as e:
logger.debug(f"read_gguf_general_metadata: cannot open {path}: {e}")
return None
except Exception as e:
logger.debug(f"read_gguf_general_metadata: parse failure on {path}: {e}")
return None
return out
# Strings (8) and arrays (9) are handled inline.
_FIXED_VTYPE_SIZES: Dict[int, int] = {
0: 1, # uint8
1: 1, # int8
2: 2, # uint16
3: 2, # int16
4: 4, # uint32
5: 4, # int32
6: 4, # float32
7: 1, # bool
10: 8, # uint64
11: 8, # int64
12: 8, # float64
}
def _skip_gguf_value(f, vtype: int) -> bool:
"""Advance past one GGUF value. False on truncation or unknown type."""
if vtype == 8: # STRING
slen_bytes = f.read(8)
if len(slen_bytes) < 8:
return False
slen = struct.unpack("<Q", slen_bytes)[0]
if slen > 1 << 30: # 1 GB sanity bound
return False
return len(f.read(slen)) == slen
if vtype == 9: # ARRAY
head = f.read(12)
if len(head) < 12:
return False
atype, alen = struct.unpack("<IQ", head)
if alen > 1 << 30:
return False
if atype == 8:
for _ in range(alen):
slen_bytes = f.read(8)
if len(slen_bytes) < 8:
return False
slen = struct.unpack("<Q", slen_bytes)[0]
if slen > 1 << 30:
return False
if len(f.read(slen)) != slen:
return False
return True
sz = _FIXED_VTYPE_SIZES.get(atype)
if sz is None:
return False
total = sz * alen
return len(f.read(total)) == total
sz = _FIXED_VTYPE_SIZES.get(vtype)
if sz is None:
return False
return len(f.read(sz)) == sz
def is_mmproj_by_metadata(meta: Optional[Dict[str, str]]) -> Optional[bool]:
"""True/False from ``general.type``; None means fall back to filename."""
if not meta:
return None
t = meta.get("general.type")
if t is None:
return None
return t.lower() == "mmproj"
def pairing_score(
weight_meta: Optional[Dict[str, str]],
mmproj_meta: Optional[Dict[str, str]],
) -> int:
"""Pairing confidence: 100 = base_model URL match, 80 = basename + org,
60 = basename, -1 = definitive mismatch, 0 = decide from filename."""
if not weight_meta or not mmproj_meta:
return 0
w_url = weight_meta.get("general.base_model.0.repo_url")
p_url = mmproj_meta.get("general.base_model.0.repo_url")
if w_url and p_url:
return 100 if w_url.strip().rstrip("/") == p_url.strip().rstrip("/") else -1
w_base = weight_meta.get("general.basename")
p_base = mmproj_meta.get("general.basename")
w_org = weight_meta.get("general.base_model.0.organization") or weight_meta.get(
"general.organization"
)
p_org = mmproj_meta.get("general.base_model.0.organization") or mmproj_meta.get(
"general.organization"
)
if w_base and p_base and w_org and p_org:
if w_base.lower() == p_base.lower() and w_org.lower() == p_org.lower():
return 80
return -1
if w_base and p_base:
return 60 if w_base.lower() == p_base.lower() else -1
return 0

View file

@ -19,6 +19,11 @@ from utils.paths import (
resolve_export_dir,
)
from utils.utils import without_hf_auth
from utils.models.gguf_metadata import (
is_mmproj_by_metadata,
pairing_score,
read_gguf_general_metadata,
)
import structlog
from loggers import get_logger
import os
@ -801,12 +806,15 @@ _AUDIO_TOKEN_PATTERNS = {
"whisper": lambda tokens: "<|startoftranscript|>" in tokens,
"audio_vlm": lambda tokens: "<audio_soft_token>" in tokens,
"bicodec": lambda tokens: any(t.startswith("<|bicodec_") for t in tokens),
"dac": lambda tokens: "<|audio_start|>" in tokens
and "<|audio_end|>" in tokens
and "<|text_start|>" in tokens
and "<|text_end|>" in tokens,
"snac": lambda tokens: sum(1 for t in tokens if t.startswith("<custom_token_"))
> 10000,
"dac": lambda tokens: (
"<|audio_start|>" in tokens
and "<|audio_end|>" in tokens
and "<|text_start|>" in tokens
and "<|text_end|>" in tokens
),
"snac": lambda tokens: (
sum(1 for t in tokens if t.startswith("<custom_token_")) > 10000
),
}
@ -913,6 +921,85 @@ def _is_mmproj(filename: str) -> bool:
return "mmproj" in filename.lower()
# Family tokens for #5347's filename fallback. Lowercase. Order does not
# matter (see ``_detect_family_token``).
_MODEL_FAMILY_TOKENS: tuple[str, ...] = (
"qwen",
"gemma",
"llama",
"mistral",
"ministral",
"magistral",
"devstral",
"phi",
"deepseek",
"internvl",
"minicpm",
"llava",
"glm",
"yi",
"command-r",
"molmo",
"pixtral",
"smolvlm",
"moondream",
"granite",
"ovis",
"nemotron",
"kimi",
"nanonets",
"cosmos",
"mimo",
"apriel",
"lfm",
)
# Word-bounded match: any letter on either side disqualifies. Stops
# ``phi`` matching ``sapphire``, ``yi`` matching ``tiny``, etc.
_FAMILY_TOKEN_RE_CACHE: Dict[str, "_re.Pattern[str]"] = {}
def _family_token_re(token: str) -> "_re.Pattern[str]":
pat = _FAMILY_TOKEN_RE_CACHE.get(token)
if pat is None:
pat = _re.compile(rf"(?:^|[^a-z])({_re.escape(token)})(?:[^a-z]|$)")
_FAMILY_TOKEN_RE_CACHE[token] = pat
return pat
def _detect_family_token(filename: str) -> Optional[str]:
"""Leftmost-position match; ties prefer the longer token."""
name = filename.lower()
best: Optional[tuple[int, int, str]] = None # (start, -len, token)
for token in _MODEL_FAMILY_TOKENS:
m = _family_token_re(token).search(name)
if m is None:
continue
key = (m.start(1), -len(token), token)
if best is None or key < best:
best = key
return None if best is None else best[2]
def mmproj_matches_model_family(model_path: str, mmproj_path: str) -> bool:
"""Defense-in-depth guard for the launcher: True unless both filenames
carry recognised family tokens that disagree."""
model_fam = _detect_family_token(Path(model_path).name)
mmproj_fam = _detect_family_token(Path(mmproj_path).name)
if model_fam is None or mmproj_fam is None:
return True
return model_fam == mmproj_fam
def _shared_prefix_len(a: str, b: str) -> int:
n = min(len(a), len(b))
for i in range(n):
if a[i] != b[i]:
return i
return n
def _is_gguf_filename(filename: str) -> bool:
return filename.lower().endswith(".gguf")
@ -927,33 +1014,18 @@ def _iter_gguf_files(directory: Path, recursive: bool = False):
def detect_mmproj_file(path: str, search_root: Optional[str] = None) -> Optional[str]:
"""
Find the mmproj (vision projection) GGUF file for a given model.
"""Find the mmproj GGUF for a model.
Args:
path: Directory to search or a .gguf file (uses its parent dir
as the starting point).
search_root: Optional outer directory that should also be scanned
(and any directory between it and ``path``). This handles
local layouts where the model weights live in a quant-named
subdir (``snapshot/BF16/foo.gguf``) but the mmproj sits at
the snapshot root (``snapshot/mmproj-BF16.gguf``). When
``None``, only the immediate parent dir is scanned, matching
the historical behavior.
Returns:
Full path to the mmproj .gguf file, or None if not found.
"""
``path``: directory or a .gguf file. ``search_root``: optional ancestor
to also walk (snapshot layouts where the weight is in ``snapshot/BF16/``
but the projector sits at ``snapshot/``). Returns the projector path or
``None``."""
p = Path(path)
start_dir = p.parent if p.is_file() else p
if not start_dir.is_dir():
return None
# Build the list of dirs to scan: immediate dir first, then walk up
# to (and including) ``search_root`` if it is an ancestor. We walk
# incrementally rather than recursing into ``search_root`` so we
# don't accidentally pick up an mmproj from a sibling subdir
# belonging to a different model variant.
# Walk incrementally so a sibling subdir's mmproj cannot leak in.
seen: set[Path] = set()
scan_order: list[Path] = []
@ -969,12 +1041,7 @@ def detect_mmproj_file(path: str, search_root: Optional[str] = None) -> Optional
_add(start_dir)
# When ``path`` is a symlink (e.g. Ollama's ``.studio_links/...gguf``
# -> ``blobs/sha256-...``), the symlink's parent directory rarely
# contains the mmproj sibling; the real mmproj file lives next to
# the symlink target. Add the target's parent to the scan so vision
# GGUFs that are surfaced via symlinks are still recognised as
# vision models.
# Ollama's .studio_links/foo.gguf -> blobs/sha256-...: also scan target dir.
try:
if p.is_symlink() and p.is_file():
target_parent = p.resolve().parent
@ -986,14 +1053,12 @@ def detect_mmproj_file(path: str, search_root: Optional[str] = None) -> Optional
try:
root_resolved = Path(search_root).resolve()
start_resolved = start_dir.resolve()
# Only walk if start_dir is inside (or equal to) search_root.
if root_resolved == start_resolved or (
start_resolved.is_relative_to(root_resolved)
if hasattr(start_resolved, "is_relative_to")
else str(start_resolved).startswith(str(root_resolved) + "/")
):
cur = start_resolved
# Walk up from start_dir to (and including) root_resolved.
while cur != root_resolved and cur.parent != cur:
cur = cur.parent
_add(cur)
@ -1002,11 +1067,66 @@ def detect_mmproj_file(path: str, search_root: Optional[str] = None) -> Optional
except OSError:
pass
candidates: list[Path] = []
seen_resolved: set[Path] = set()
for d in scan_order:
for f in _iter_gguf_files(d):
if _is_mmproj(f.name):
return str(f.resolve())
return None
try:
resolved = f.resolve()
except OSError:
continue
if resolved in seen_resolved:
continue
# Prefer ``general.type=='mmproj'``; fall back to filename.
meta = read_gguf_general_metadata(str(resolved))
by_meta = is_mmproj_by_metadata(meta)
if by_meta is True or (by_meta is None and _is_mmproj(f.name)):
seen_resolved.add(resolved)
candidates.append(resolved)
if not candidates:
return None
# Directory path: no model name to compare against; legacy behaviour.
if not p.is_file():
return str(candidates[0])
# Stage 1: GGUF metadata. Stage 2: filename family token (#5347).
model_stem = p.stem.lower()
model_family = _detect_family_token(p.name)
weight_meta = read_gguf_general_metadata(str(p))
scored: list[tuple[int, Path]] = []
for c in candidates:
cand_meta = read_gguf_general_metadata(str(c))
meta_score = pairing_score(weight_meta, cand_meta)
if meta_score == -1:
logger.info(f"detect_mmproj_file: dropped {c.name} (metadata mismatch)")
continue
if meta_score == 0 and model_family is not None:
# Unrecognised candidate family is a wildcard (``mmproj-F16.gguf``).
cand_family = _detect_family_token(c.name)
if cand_family is not None and cand_family != model_family:
logger.info(
f"detect_mmproj_file: dropped {c.name} "
f"(filename family {cand_family!r} vs model {model_family!r})"
)
continue
scored.append((meta_score, c))
if not scored:
return None
# Score first, then longest shared prefix, then shorter stem.
best = max(
scored,
key = lambda sc: (
sc[0],
_shared_prefix_len(model_stem, sc[1].stem.lower()),
-len(sc[1].stem),
),
)
return str(best[1])
def detect_gguf_model(path: str) -> Optional[str]:
@ -1360,7 +1480,7 @@ def detect_gguf_model_remote(
if attempt < 2:
time.sleep(2**attempt)
logger.warning(
f"Could not check GGUF files for '{repo_id}' after 3 attempts: " f"{last_err}"
f"Could not check GGUF files for '{repo_id}' after 3 attempts: {last_err}"
)
return None