unsloth/studio/backend/tests/test_transformers_version.py
Lee Jackson 0f00bc1e2a
Studio: fix Gemma-4-12B-it not loading (#6054)
* Fix Studio Python, Gemma 4 Unified sidecar, and worker crash messages

* Clean up Gemma 4 sidecar test patch contexts

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* Polish inference worker crash message

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* Address transformers tier review feedback

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* Route Gemma 4 assistant models to transformers 5.10

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---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2026-06-10 08:39:07 -07:00

535 lines
21 KiB
Python

# 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 transformers version detection with local checkpoint fallbacks."""
import json
import pytest
from pathlib import Path
from unittest.mock import patch
# ---------------------------------------------------------------------------
# The studio backend uses relative-style imports (``from utils.…``), so
# add the backend directory to *sys.path* if not already present.
# ---------------------------------------------------------------------------
import sys
_BACKEND_DIR = str(Path(__file__).resolve().parent.parent)
if _BACKEND_DIR not in sys.path:
sys.path.insert(0, _BACKEND_DIR)
# Stub the custom logger before import so ``from loggers import
# get_logger`` doesn't fail.
import types as _types
_loggers_stub = _types.ModuleType("loggers")
_loggers_stub.get_logger = lambda name: __import__("logging").getLogger(name)
sys.modules.setdefault("loggers", _loggers_stub)
from utils.transformers_version import (
_resolve_base_model,
_check_tokenizer_config_needs_v5,
_check_config_needs_510,
_check_config_needs_550,
_config_json_cache,
_tokenizer_class_cache,
_config_needs_510_cache,
_config_needs_550_cache,
needs_transformers_5,
get_transformers_tier,
)
# ---------------------------------------------------------------------------
# _resolve_base_model — config.json fallback
# ---------------------------------------------------------------------------
class TestResolveBaseModel:
"""Tests for _resolve_base_model() local config fallbacks."""
def test_adapter_config_takes_priority(self, tmp_path: Path):
"""adapter_config.json should be preferred over config.json."""
adapter_cfg = {"base_model_name_or_path": "meta-llama/Llama-3-8B"}
config_cfg = {"_name_or_path": "different/model"}
(tmp_path / "adapter_config.json").write_text(json.dumps(adapter_cfg))
(tmp_path / "config.json").write_text(json.dumps(config_cfg))
result = _resolve_base_model(str(tmp_path))
assert result == "meta-llama/Llama-3-8B"
def test_config_json_fallback_model_name(self, tmp_path: Path):
"""config.json model_name should resolve when no adapter_config."""
config_cfg = {"model_name": "Qwen/Qwen3.5-9B"}
(tmp_path / "config.json").write_text(json.dumps(config_cfg))
result = _resolve_base_model(str(tmp_path))
assert result == "Qwen/Qwen3.5-9B"
def test_config_json_fallback_name_or_path(self, tmp_path: Path):
"""config.json _name_or_path should resolve as secondary fallback."""
config_cfg = {"_name_or_path": "Qwen/Qwen3.5-9B"}
(tmp_path / "config.json").write_text(json.dumps(config_cfg))
result = _resolve_base_model(str(tmp_path))
assert result == "Qwen/Qwen3.5-9B"
def test_model_name_takes_priority_over_name_or_path(self, tmp_path: Path):
"""model_name should be preferred over _name_or_path."""
config_cfg = {
"model_name": "Qwen/Qwen3.5-9B",
"_name_or_path": "some/other-model",
}
(tmp_path / "config.json").write_text(json.dumps(config_cfg))
result = _resolve_base_model(str(tmp_path))
assert result == "Qwen/Qwen3.5-9B"
def test_config_json_skips_self_referencing(self, tmp_path: Path):
"""config.json should be ignored if model_name == the checkpoint path."""
config_cfg = {"model_name": str(tmp_path)}
(tmp_path / "config.json").write_text(json.dumps(config_cfg))
result = _resolve_base_model(str(tmp_path))
# Falls through; does not return the self-referencing path.
assert result == str(tmp_path)
def test_no_config_files(self, tmp_path: Path):
"""Returns original name when no config files are present."""
result = _resolve_base_model(str(tmp_path))
assert result == str(tmp_path)
def test_plain_hf_id_passthrough(self):
"""Plain HuggingFace model IDs pass through unchanged."""
result = _resolve_base_model("meta-llama/Llama-3-8B")
assert result == "meta-llama/Llama-3-8B"
# ---------------------------------------------------------------------------
# _check_tokenizer_config_needs_v5 — local file check
# ---------------------------------------------------------------------------
class TestCheckTokenizerConfigNeedsV5:
"""Tests for local tokenizer_config.json fallback."""
def setup_method(self):
_tokenizer_class_cache.clear()
def test_local_tokenizer_config_v5(self, tmp_path: Path):
"""Local tokenizer_config.json with v5 tokenizer should return True."""
tc = {"tokenizer_class": "TokenizersBackend"}
(tmp_path / "tokenizer_config.json").write_text(json.dumps(tc))
result = _check_tokenizer_config_needs_v5(str(tmp_path))
assert result is True
def test_local_tokenizer_config_v4(self, tmp_path: Path):
"""Local tokenizer_config.json with standard tokenizer should return False."""
tc = {"tokenizer_class": "LlamaTokenizerFast"}
(tmp_path / "tokenizer_config.json").write_text(json.dumps(tc))
result = _check_tokenizer_config_needs_v5(str(tmp_path))
assert result is False
def test_local_file_skips_network(self, tmp_path: Path):
"""When local file exists, no network request should be made."""
tc = {"tokenizer_class": "LlamaTokenizerFast"}
(tmp_path / "tokenizer_config.json").write_text(json.dumps(tc))
with patch("urllib.request.urlopen") as mock_urlopen:
result = _check_tokenizer_config_needs_v5(str(tmp_path))
mock_urlopen.assert_not_called()
assert result is False
def test_result_is_cached(self, tmp_path: Path):
"""Subsequent calls should use the cache."""
tc = {"tokenizer_class": "TokenizersBackend"}
(tmp_path / "tokenizer_config.json").write_text(json.dumps(tc))
key = str(tmp_path)
_check_tokenizer_config_needs_v5(key)
assert key in _tokenizer_class_cache
assert _tokenizer_class_cache[key] is True
# ---------------------------------------------------------------------------
# needs_transformers_5 — integration-level
# ---------------------------------------------------------------------------
class TestNeedsTransformers5:
"""Integration tests for the top-level needs_transformers_5() function."""
def setup_method(self):
_tokenizer_class_cache.clear()
def test_qwen35_substring(self):
assert needs_transformers_5("Qwen/Qwen3.5-9B") is True
def test_qwen3_30b_a3b_substring(self):
assert needs_transformers_5("Qwen/Qwen3-30B-A3B-Instruct-2507") is True
def test_ministral_substring(self):
assert needs_transformers_5("mistralai/Ministral-3-8B-Instruct-2512") is True
def test_llama_does_not_need_v5(self):
"""Standard models should not trigger v5."""
# Patch network call to avoid a real fetch.
with patch(
"utils.transformers_version._check_tokenizer_config_needs_v5",
return_value = False,
):
assert needs_transformers_5("meta-llama/Llama-3-8B") is False
def test_local_checkpoint_resolved_via_config(self, tmp_path: Path):
"""Local checkpoint with config.json pointing to Qwen3.5 needs v5."""
config_cfg = {"model_name": "Qwen/Qwen3.5-9B"}
(tmp_path / "config.json").write_text(json.dumps(config_cfg))
# needs_transformers_5 only does substring matching, so test the
# full resolution chain via _resolve_base_model here.
resolved = _resolve_base_model(str(tmp_path))
assert needs_transformers_5(resolved) is True
# ---------------------------------------------------------------------------
# _check_config_needs_550 — config.json architecture/model_type check
# ---------------------------------------------------------------------------
class TestCheckConfigNeeds550:
"""Tests for _check_config_needs_550() local config.json checks."""
def setup_method(self):
_config_json_cache.clear()
_config_needs_550_cache.clear()
def test_gemma4_architecture(self, tmp_path: Path):
"""config.json with Gemma4ForConditionalGeneration should return True."""
cfg = {
"architectures": ["Gemma4ForConditionalGeneration"],
"model_type": "gemma4",
}
(tmp_path / "config.json").write_text(json.dumps(cfg))
assert _check_config_needs_550(str(tmp_path)) is True
def test_gemma4_model_type_only(self, tmp_path: Path):
"""config.json with model_type=gemma4 (no architectures) should return True."""
cfg = {"model_type": "gemma4"}
(tmp_path / "config.json").write_text(json.dumps(cfg))
assert _check_config_needs_550(str(tmp_path)) is True
def test_llama_architecture(self, tmp_path: Path):
"""config.json with LlamaForCausalLM should return False."""
cfg = {"architectures": ["LlamaForCausalLM"], "model_type": "llama"}
(tmp_path / "config.json").write_text(json.dumps(cfg))
assert _check_config_needs_550(str(tmp_path)) is False
def test_no_config_json(self, tmp_path: Path):
"""Missing config.json should return False (fail-open)."""
# Patch network call to avoid a real fetch.
with patch("urllib.request.urlopen") as mock_urlopen:
mock_urlopen.side_effect = Exception("no network")
assert _check_config_needs_550(str(tmp_path)) is False
def test_result_is_cached(self, tmp_path: Path):
"""Subsequent calls should use the cache."""
cfg = {"architectures": ["Gemma4ForConditionalGeneration"]}
(tmp_path / "config.json").write_text(json.dumps(cfg))
key = str(tmp_path)
_check_config_needs_550(key)
assert key in _config_needs_550_cache
assert _config_needs_550_cache[key] is True
def test_local_file_skips_network(self, tmp_path: Path):
"""When local config.json exists, no network request should be made."""
cfg = {"architectures": ["LlamaForCausalLM"]}
(tmp_path / "config.json").write_text(json.dumps(cfg))
with patch("urllib.request.urlopen") as mock_urlopen:
_check_config_needs_550(str(tmp_path))
mock_urlopen.assert_not_called()
# ---------------------------------------------------------------------------
# _check_config_needs_510 — config.json architecture/model_type check
# ---------------------------------------------------------------------------
class TestCheckConfigNeeds510:
"""Tests for _check_config_needs_510() local config.json checks."""
def setup_method(self):
_config_json_cache.clear()
_config_needs_510_cache.clear()
def test_gemma4_unified_architecture(self, tmp_path: Path):
"""config.json with Gemma4UnifiedForConditionalGeneration should return True."""
cfg = {
"architectures": ["Gemma4UnifiedForConditionalGeneration"],
"model_type": "gemma4_unified",
}
(tmp_path / "config.json").write_text(json.dumps(cfg))
assert _check_config_needs_510(str(tmp_path)) is True
def test_gemma4_unified_model_type_only(self, tmp_path: Path):
"""config.json with model_type=gemma4_unified should return True."""
cfg = {"model_type": "gemma4_unified"}
(tmp_path / "config.json").write_text(json.dumps(cfg))
assert _check_config_needs_510(str(tmp_path)) is True
def test_gemma4_unified_assistant_architecture(self, tmp_path: Path):
"""Assistant Gemma 4 Unified configs should return True."""
cfg = {
"architectures": ["Gemma4UnifiedAssistantForCausalLM"],
"model_type": "gemma4_unified_assistant",
}
(tmp_path / "config.json").write_text(json.dumps(cfg))
assert _check_config_needs_510(str(tmp_path)) is True
def test_gemma4_unified_assistant_model_type_only(self, tmp_path: Path):
"""Assistant Gemma 4 Unified model_type should return True."""
cfg = {"model_type": "gemma4_unified_assistant"}
(tmp_path / "config.json").write_text(json.dumps(cfg))
assert _check_config_needs_510(str(tmp_path)) is True
def test_gemma4_assistant_architecture(self, tmp_path: Path):
"""Assistant Gemma 4 configs should return True."""
cfg = {
"architectures": ["Gemma4AssistantForCausalLM"],
"model_type": "gemma4_assistant",
}
(tmp_path / "config.json").write_text(json.dumps(cfg))
assert _check_config_needs_510(str(tmp_path)) is True
def test_gemma4_assistant_model_type_only(self, tmp_path: Path):
"""Assistant Gemma 4 model_type should return True."""
cfg = {"model_type": "gemma4_assistant"}
(tmp_path / "config.json").write_text(json.dumps(cfg))
assert _check_config_needs_510(str(tmp_path)) is True
def test_gemma4_non_unified_returns_false(self, tmp_path: Path):
"""Older Gemma 4 config should stay on the 550 tier."""
cfg = {
"architectures": ["Gemma4ForConditionalGeneration"],
"model_type": "gemma4",
}
(tmp_path / "config.json").write_text(json.dumps(cfg))
assert _check_config_needs_510(str(tmp_path)) is False
def test_no_config_json(self, tmp_path: Path):
"""Missing config.json should return False (fail-open)."""
# Patch network call to avoid real fetch
with patch("urllib.request.urlopen") as mock_urlopen:
mock_urlopen.side_effect = Exception("no network")
assert _check_config_needs_510(str(tmp_path)) is False
def test_result_is_cached(self, tmp_path: Path):
"""Subsequent calls should use the cache."""
cfg = {"architectures": ["Gemma4UnifiedForConditionalGeneration"]}
(tmp_path / "config.json").write_text(json.dumps(cfg))
key = str(tmp_path)
_check_config_needs_510(key)
assert key in _config_needs_510_cache
assert _config_needs_510_cache[key] is True
def test_local_file_skips_network(self, tmp_path: Path):
"""When local config.json exists, no network request should be made."""
cfg = {"architectures": ["LlamaForCausalLM"]}
(tmp_path / "config.json").write_text(json.dumps(cfg))
with patch("urllib.request.urlopen") as mock_urlopen:
_check_config_needs_510(str(tmp_path))
mock_urlopen.assert_not_called()
# ---------------------------------------------------------------------------
# get_transformers_tier — tier detection
# ---------------------------------------------------------------------------
class TestGetTransformersTier:
"""Tests for get_transformers_tier() tiered version detection."""
def setup_method(self):
_tokenizer_class_cache.clear()
_config_json_cache.clear()
_config_needs_510_cache.clear()
_config_needs_550_cache.clear()
def test_gemma4_substring_returns_550(self):
assert get_transformers_tier("google/gemma-4-E2B-it") == "550"
def test_gemma4_12b_substring_returns_510(self):
assert get_transformers_tier("unsloth/gemma-4-12b-it") == "510"
def test_gemma4_assistant_substring_returns_510(self):
assert get_transformers_tier("google/gemma-4-E2B-it-assistant") == "510"
def test_gemma4_alt_substring_returns_550(self):
assert get_transformers_tier("unsloth/gemma4-E4B-it") == "550"
def test_gemma4_config_json_returns_550(self, tmp_path: Path):
"""Local checkpoint with Gemma4 architecture → 550."""
cfg = {
"architectures": ["Gemma4ForConditionalGeneration"],
"model_type": "gemma4",
}
(tmp_path / "config.json").write_text(json.dumps(cfg))
assert get_transformers_tier(str(tmp_path)) == "550"
def test_gemma4_unified_config_json_returns_510(self, tmp_path: Path):
"""Local checkpoint with Gemma4 Unified architecture → 510."""
cfg = {
"architectures": ["Gemma4UnifiedForConditionalGeneration"],
"model_type": "gemma4_unified",
}
(tmp_path / "config.json").write_text(json.dumps(cfg))
assert get_transformers_tier(str(tmp_path)) == "510"
def test_gemma4_assistant_config_json_returns_510(self, tmp_path: Path):
"""Local checkpoint with Gemma4 Assistant architecture → 510."""
cfg = {
"architectures": ["Gemma4AssistantForCausalLM"],
"model_type": "gemma4_assistant",
}
(tmp_path / "config.json").write_text(json.dumps(cfg))
assert get_transformers_tier(str(tmp_path)) == "510"
def test_local_config_json_short_circuits_path_substrings(self, tmp_path: Path):
"""Local config.json should prevent false matches from parent directory names."""
model_dir = tmp_path / "gemma-4-12b-experiment" / "llama-checkpoint"
model_dir.mkdir(parents = True)
(model_dir / "config.json").write_text(
json.dumps(
{
"architectures": ["LlamaForCausalLM"],
"model_type": "llama",
}
)
)
(model_dir / "tokenizer_config.json").write_text(
json.dumps({"tokenizer_class": "LlamaTokenizerFast"})
)
with patch("urllib.request.urlopen") as mock_urlopen:
assert get_transformers_tier(str(model_dir)) == "default"
mock_urlopen.assert_not_called()
def test_remote_config_json_is_fetched_once_for_config_tiers(self):
"""510 and 550 slow-path checks should share one config.json fetch."""
class _Response:
def __enter__(self):
return self
def __exit__(self, exc_type, exc, tb):
return False
def read(self):
return json.dumps(
{
"architectures": ["Gemma4ForConditionalGeneration"],
"model_type": "gemma4",
}
).encode()
with patch("urllib.request.urlopen", return_value = _Response()) as mock_urlopen:
assert get_transformers_tier("org/no-fast-substring-model") == "550"
assert mock_urlopen.call_count == 1
def test_qwen35_returns_530(self):
with (
patch(
"utils.transformers_version._check_config_needs_550",
return_value = False,
),
patch(
"utils.transformers_version._check_config_needs_510",
return_value = False,
),
):
assert get_transformers_tier("Qwen/Qwen3.5-9B") == "530"
def test_ministral_returns_530(self):
with (
patch(
"utils.transformers_version._check_config_needs_550",
return_value = False,
),
patch(
"utils.transformers_version._check_config_needs_510",
return_value = False,
),
):
assert get_transformers_tier("mistralai/Ministral-3-8B-Instruct-2512") == "530"
def test_llama_returns_default(self):
with (
patch(
"utils.transformers_version._check_config_needs_550",
return_value = False,
),
patch(
"utils.transformers_version._check_config_needs_510",
return_value = False,
),
patch(
"utils.transformers_version._check_tokenizer_config_needs_v5",
return_value = False,
),
):
assert get_transformers_tier("meta-llama/Llama-3-8B") == "default"
def test_550_checked_before_530(self):
"""5.5.0 is checked before 5.3.0 - a model matching both gets 550."""
assert get_transformers_tier("gemma-4-model") == "550"
def test_needs_transformers_5_compat(self):
"""needs_transformers_5 should return True for 510, 530, and 550 models."""
assert needs_transformers_5("unsloth/gemma-4-12b-it") is True
assert needs_transformers_5("google/gemma-4-E2B-it") is True
with (
patch(
"utils.transformers_version._check_config_needs_550",
return_value = False,
),
patch(
"utils.transformers_version._check_config_needs_510",
return_value = False,
),
):
assert needs_transformers_5("Qwen/Qwen3.5-9B") is True
with (
patch(
"utils.transformers_version._check_config_needs_550",
return_value = False,
),
patch(
"utils.transformers_version._check_config_needs_510",
return_value = False,
),
patch(
"utils.transformers_version._check_tokenizer_config_needs_v5",
return_value = False,
),
):
assert needs_transformers_5("meta-llama/Llama-3-8B") is False