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13b1a91 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 | import gzip
import json
from pathlib import Path
import pytest
from app.catalogue import build_record
from app.parsing import (
detect_arch, detect_family, detect_params, detect_quant, param_bucket, quant_bucket,
)
QWEN3_8B_CONFIG = {
"architectures": ["Qwen3ForCausalLM"], "model_type": "qwen3", "head_dim": 128, "hidden_size": 4096,
"max_position_embeddings": 40960, "num_attention_heads": 32, "num_hidden_layers": 36,
"num_key_value_heads": 8, "quantization": {"group_size": 64, "bits": 4}, "sliding_window": None,
"use_sliding_window": False,
}
@pytest.mark.parametrize("mid,tags,family", [
("mlx-community/Qwen3.8-27B-4bit", ["base_model:Qwen/Qwen3.8-27B"], "Qwen"),
("mlx-community/Josiefied-Qwen3-8B-abliterated-v1-4bit", [], "Qwen"),
("mlx-community/Meta-Llama-3.1-8B-Instruct-4bit", [], "Llama"),
("mlx-community/gemma-4-31B-it-qat-4bit", [], "Gemma"),
("mlx-community/Devstral-Small-2507-4bit", [], "Mistral"),
("mlx-community/DeepSeek-V4-Flash-2bit", [], "DeepSeek"),
("mlx-community/Kimi-K2-Instruct-4bit", [], "Kimi"),
("mlx-community/NVIDIA-Nemotron-3-Nano-4bit", [], "Nemotron"),
("mlx-community/Zorblax-7B-4bit", [], "Zorblax"), # never seen before -> still a family
("mlx-community/7B", [], "Other"),
("mlx-community/functiongemma-270m-it-4bit", [], "Gemma"),
("mlx-community/OLMoE-1B-7B-0924-Instruct-4bit", [], "OLMo"),
("mlx-community/Instruct-Zorblax-7B", [], "Zorblax"),
("mlx-community/Starling-LM-7B-beta", [], "Starling"),
])
def test_family(mid, tags, family):
assert detect_family(mid, tags) == family
def test_family_ignores_junk_tags():
assert detect_family("mlx-community/Qwen3-8B-4bit", [None, 5, "base_model:"]) == "Qwen"
def test_params_prefers_safetensors_then_name():
p = detect_params("mlx-community/Qwen3-8B-4bit", {"total": 8_190_735_360})
assert p.source == "safetensors" and param_bucket(p.total) == "8-15B"
p = detect_params("mlx-community/Qwen3-8B-4bit", None)
assert p.source == "name" and p.total == 8e9 and param_bucket(p.total) == "8-15B"
def test_params_moe():
p = detect_params("mlx-community/Qwen3-30B-A3B-4bit", {"total": 30.5e9})
assert p.moe and p.active == 3e9 and param_bucket(p.total) == "15-35B"
p = detect_params("mlx-community/Mixtral-8x7B-Instruct-v0.1", None)
assert p.moe and p.total == 56e9
p = detect_params("mlx-community/whatever-4bit", None, {"num_local_experts": 8})
assert p.moe
@pytest.mark.parametrize("st", [None, {}, {"total": "big"}, {"total": -1}, "junk"])
def test_params_unknown(st):
p = detect_params("mlx-community/mystery-model-4bit", st)
assert p.total is None and p.source == "unknown" and param_bucket(p.total) is None
def test_quant_tags():
q = detect_quant("mlx-community/Qwen3-8B", ["4-bit"])
assert (q.bits, q.source, q.mixed, quant_bucket(q)) == (4, "tags", False, "4-bit")
def test_quant_mixed_from_tags_and_config():
q = detect_quant("mlx-community/Qwen3.5-9B-OptiQ-4bit", ["4bit", "8bit", "4-bit"])
assert q.bits == 4 and q.mixed and q.label == "4-bit mixed" and quant_bucket(q) == "4-bit"
cfg = {"model_type": "x", "quantization": {"bits": 4, "group_size": 64,
"model.layers.0.mlp": {"bits": 8, "group_size": 64}}}
q = detect_quant("mlx-community/foo", [], cfg)
assert q.bits == 4 and q.mixed and q.source == "config"
def test_quant_config_beats_name():
q = detect_quant("mlx-community/foo-8bit", ["8-bit"], QWEN3_8B_CONFIG)
assert q.bits == 4 and q.source == "config"
@pytest.mark.parametrize("name,bits,mode", [
("gpt-oss-20b-MXFP4-Q8", 4, "mxfp4"),
("Qwen3-30B-A3B-nvfp4", 4, "nvfp4"),
("Qwen3-14B-4bit-DWQ", 4, "dwq"),
("Llama-3.2-3B-Instruct-bf16", 16, "float"),
("Mistral-7B-Instruct-v0.2-8-bit-mlx", 8, "affine"),
("llama2-13b-qnt4bit", 4, "affine"),
("Yi-9B-q", None, None),
])
def test_quant_names(name, bits, mode):
q = detect_quant(f"mlx-community/{name}", [])
assert q.bits == bits and q.mode == mode
def test_quant_unquantized_config():
q = detect_quant("mlx-community/phi-2", [], {"model_type": "phi", "torch_dtype": "float16"})
assert q.bits == 16 and q.label == "16-bit"
@pytest.mark.parametrize("cfg", [None, "junk", {}, {"quantization": "4"}, {"quantization": {"bits": "x"}}])
def test_quant_junk_config(cfg):
q = detect_quant("mlx-community/mystery", [], cfg)
assert q.bits is None and q.label == "unknown"
def test_arch_standard():
a = detect_arch(QWEN3_8B_CONFIG)
assert a.known and (a.layers, a.full_attention_layers, a.kv_heads, a.head_dim) == (36, 36, 8, 128)
assert a.sliding_layers == 0 and a.max_context == 40960
def test_arch_hybrid_linear_attention():
cfg = {"text_config": {"num_hidden_layers": 8, "num_attention_heads": 16, "num_key_value_heads": 4,
"head_dim": 256, "layer_types": ["linear_attention"] * 3 + ["full_attention"]
+ ["linear_attention"] * 3 + ["full_attention"]}}
a = detect_arch(cfg)
assert a.full_attention_layers == 2 and a.sliding_layers == 0
def test_arch_sliding():
cfg = {"num_hidden_layers": 4, "num_attention_heads": 8, "num_key_value_heads": 8, "head_dim": 64,
"sliding_window": 128, "layer_types": ["sliding_attention", "full_attention"] * 2}
a = detect_arch(cfg)
assert (a.full_attention_layers, a.sliding_layers, a.sliding_window) == (2, 2, 128)
@pytest.mark.parametrize("cfg", [None, {}, {"num_hidden_layers": "x"}, {"num_hidden_layers": True}])
def test_arch_unknown(cfg):
assert not detect_arch(cfg).known
@pytest.mark.parametrize("raw", [{}, {"id": 5}, {"id": "noslash"}, {"id": "a/b", "tags": "notalist"},
{"id": "a/b", "downloads": "many", "safetensors": [1]}])
def test_build_record_never_raises(raw):
rec = build_record(raw)
assert rec is None or rec.id == "a/b"
def test_snapshot_parses_fully():
path = Path(__file__).resolve().parent.parent / "data" / "catalogue_snapshot.json.gz"
raw = json.load(gzip.open(path, "rt"))
recs = [r for r in map(build_record, raw) if r]
assert len(recs) == len(raw) > 1000
llm = [r for r in recs if r.is_llm]
known_quant = sum(r.quant_bucket != "unknown" for r in llm) / len(llm)
known_size = sum(r.size_bucket is not None for r in llm) / len(llm)
assert known_quant > 0.9 and known_size > 0.95
def test_partial_repo_detected():
p = detect_params("mlx-community/Qwen3.8-27B-MTP-4bit", {"total": 424_699_392})
assert p.partial and p.total == 424_699_392 and p.name_total == 27e9
assert not detect_params("mlx-community/Qwen3-8B-4bit", {"total": 8.19e9}).partial
assert not detect_params("mlx-community/Qwen3-30B-A3B-4bit", {"total": 30.5e9}).partial
def test_packed_param_counts_are_unpacked():
st = {"parameters": {"F16": 244_584_448, "U32": 977_272_832}, "total": 1_221_857_280}
p = detect_params("mlx-community/EXAONE-3.5-7.8B-Instruct-4bit", st, bits=4)
assert abs(p.total / 1e9 - 7.82) < 0.05 and not p.partial and param_bucket(p.total) == "3-8B"
st6 = {"parameters": {"F16": 244_584_448, "U32": 1_465_909_248}, "total": 1_710_493_696}
assert abs(detect_params("mlx-community/x-6bit", st6, bits=6).total / 1e9 - 7.82) < 0.05
big = {"parameters": {"F16": 3_468_959_744, "U32": 8_879_865_856}, "total": 12_348_825_600}
assert 71e9 < detect_params("mlx-community/Liberated-Qwen1.5-72B-4bit", big, bits=4).total < 74e9
new_style = {"parameters": {"U32": 8_190_427_136, "BF16": 308_224}, "total": 8_190_735_360}
assert detect_params("mlx-community/Qwen3-8B-4bit", new_style, bits=4).total == 8_190_735_360
# packed counts but no bit width: keep the Hub total, the partial check flags the mismatch
p = detect_params("mlx-community/EXAONE-3.5-7.8B-Instruct", st, bits=None)
assert p.total == st["total"] and p.partial
# vision-language models have lots of unquantized float weights but are unpacked
vl = {"parameters": {"U32": 7_615_283_200, "F16": 676_883_456}, "total": 8_292_166_656}
assert detect_params("mlx-community/Qwen2.5-VL-7B-Instruct-4bit", vl, bits=4).total == vl["total"]
vl2 = {"parameters": {"U32": 4_022_272_000, "BF16": 415_543_808}, "total": 4_437_815_808}
assert detect_params("mlx-community/some-vlm-4bit", vl2, bits=4).total == vl2["total"]
assert detect_params("mlx-community/some-vlm-8bit", vl2, bits=8).total == vl2["total"]
assert abs(detect_params("mlx-community/unnamed-4bit", st, bits=4).total / 1e9 - 7.82) < 0.05
def test_unknown_quantization_format_does_not_mean_unquantized():
cfg = {"model_type": "gemma4", "quantization_config": {"quant_method": "gemma", "module_quant_configs": {"x": {"num_bits": 2}}}}
q = detect_quant("mlx-community/gemma-4-E4B-it-qat-mobile", ["8-bit"], cfg)
assert q.bits == 8 and q.source == "tags"
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