File size: 4,563 Bytes
e4ab6c6 | 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 | from __future__ import annotations
import argparse
import json
import shutil
import sys
from pathlib import Path
from typing import Dict
import mlx.core as mx
import mlx.nn as nn
from mlx.utils import tree_flatten
REPO_ROOT = Path(__file__).resolve().parents[1]
if str(REPO_ROOT) not in sys.path:
sys.path.insert(0, str(REPO_ROOT))
from modeling_eurobert_mlx import EuroBertConfig, build_model # noqa: E402
TOKENIZER_FILES = [
"tokenizer.json",
"tokenizer_config.json",
"special_tokens_map.json",
]
def _save_weights(path: Path, model, metadata: Dict[str, str]) -> None:
params = tree_flatten(model.parameters(), destination={})
mx.save_safetensors(str(path), params, metadata=metadata)
def _eval_model(model) -> None:
params = tree_flatten(model.parameters(), destination={})
if params:
mx.eval(*params.values())
def _load_source_config(source_dir: Path) -> dict:
with open(source_dir / "config.json", "r", encoding="utf-8") as f:
config = json.load(f)
weights = mx.load(str(source_dir / "model.safetensors"))
config["num_labels"] = int(weights["classifier.weight"].shape[0])
config.setdefault("id2label", {str(i): f"LABEL_{i}" for i in range(config["num_labels"])})
config.setdefault("label2id", {v: int(k) for k, v in config["id2label"].items()})
return config
def convert(source_dir: Path, output_dir: Path, include_4bit: bool) -> None:
source_dir = source_dir.resolve()
output_dir = output_dir.resolve()
output_dir.mkdir(parents=True, exist_ok=True)
config = _load_source_config(source_dir)
with open(output_dir / "config.json", "w", encoding="utf-8") as f:
json.dump(config, f, indent=2, sort_keys=True)
f.write("\n")
for filename in TOKENIZER_FILES:
shutil.copy2(source_dir / filename, output_dir / filename)
if (source_dir / "pulpie-orange.png").exists():
shutil.copy2(source_dir / "pulpie-orange.png", output_dir / "pulpie-orange.png")
mlx_config = {
"format": "mlx",
"source_model": "feyninc/pulpie-orange-small",
"architecture": "EuroBertForTokenClassification",
"implementation": "modeling_eurobert_mlx.py",
"variants": {
"model-bf16.safetensors": {
"dtype": "bfloat16",
"quantization": None,
"description": "Native 16-bit BF16 MLX weights converted from the source safetensors.",
}
},
}
model = build_model(EuroBertConfig(**config))
model.load_weights(str(source_dir / "model.safetensors"))
_eval_model(model)
_save_weights(
output_dir / "model-bf16.safetensors",
model,
{
"format": "mlx",
"variant": "bf16",
"source_model": "feyninc/pulpie-orange-small",
},
)
quantized_specs = [("8bit", 8)]
if include_4bit:
quantized_specs.append(("4bit", 4))
for name, bits in quantized_specs:
q_model = build_model(EuroBertConfig(**config))
q_model.load_weights(str(source_dir / "model.safetensors"))
nn.quantize(q_model, group_size=64, bits=bits, mode="affine")
_eval_model(q_model)
weight_name = f"model-{name}.safetensors"
_save_weights(
output_dir / weight_name,
q_model,
{
"format": "mlx",
"variant": name,
"source_model": "feyninc/pulpie-orange-small",
"quantization": json.dumps(
{"bits": bits, "group_size": 64, "mode": "affine"},
sort_keys=True,
),
},
)
mlx_config["variants"][weight_name] = {
"dtype": "quantized",
"quantization": {"bits": bits, "group_size": 64, "mode": "affine"},
"description": f"MLX affine weight quantized {bits}-bit variant.",
}
with open(output_dir / "mlx_config.json", "w", encoding="utf-8") as f:
json.dump(mlx_config, f, indent=2, sort_keys=True)
f.write("\n")
def main() -> None:
parser = argparse.ArgumentParser(description="Convert Pulpie Orange Small to MLX.")
parser.add_argument("--source-dir", type=Path, default=Path("source_model"))
parser.add_argument("--output-dir", type=Path, default=Path("hf_out"))
parser.add_argument("--include-4bit", action="store_true")
args = parser.parse_args()
convert(args.source_dir, args.output_dir, include_4bit=args.include_4bit)
if __name__ == "__main__":
main()
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