model-conversion : use CONVERTED_MODEL value for converted model [no ci] (#17984)

* model-conversion : use CONVERTED_MODEL value for converted model [no ci]

This commit updates the model verification scripts to use the
CONVERTED_MODEL environment variable instead of using the MODEL_PATH
(the original model path) as the basis for the converted model file
name.

The motivation for this that currently if the converted model file name
differs from the original model directory/name the verification scripts
will look for the wrong .bin files that were generating when running the
models.
For example, the following steps were not possible:
```console
(venv) $ huggingface-cli download google/gemma-3-270m-it --local-dir ggml-org/gemma-3-270m
(venv) $ python3 convert_hf_to_gguf.py ggml-org/gemma-3-270m --outfile test-bf16.gguf --outtype bf16
(venv) $ cd examples/model-conversion/
(venv) $ export MODEL_PATH=../../ggml-org/gemma-3-270m
(venv) $ export CONVERTED_MODEL=../../test-bf16.gguf
(venv) $ make causal-verify-logits
...
Data saved to data/llamacpp-test-bf16.bin
Data saved to data/llamacpp-test-bf16.txt
Error: llama.cpp logits file not found: data/llamacpp-gemma-3-270m.bin
Please run scripts/run-converted-model.sh first to generate this file.
make: *** [Makefile:62: causal-verify-logits] Error 1
```

With the changes in this commit, the above steps will now work as
expected.
This commit is contained in:
Daniel Bevenius
2025-12-13 08:34:26 +01:00
committed by GitHub
parent 380b4c984e
commit fd1085ffb7
5 changed files with 36 additions and 17 deletions
@@ -1,10 +1,13 @@
#!/usr/bin/env python3
import numpy as np
import sys
import os
import numpy as np
from pathlib import Path
# Add utils directory to path for direct script execution
sys.path.insert(0, str(Path(__file__).parent.parent / "utils"))
from common import get_model_name_from_env_path # type: ignore[import-not-found]
def quick_logits_check(pytorch_file, llamacpp_file):
"""Lightweight sanity check before NMSE"""
@@ -35,20 +38,13 @@ def quick_logits_check(pytorch_file, llamacpp_file):
return True
def main():
model_path = os.getenv('MODEL_PATH')
if not model_path:
print("Error: MODEL_PATH environment variable not set")
sys.exit(1)
if not os.path.exists(model_path):
print(f"Error: Model file not found: {model_path}")
sys.exit(1)
model_name = os.path.basename(model_path)
model_name = get_model_name_from_env_path('MODEL_PATH')
data_dir = Path("data")
pytorch_file = data_dir / f"pytorch-{model_name}.bin"
llamacpp_file = data_dir / f"llamacpp-{model_name}.bin"
llamacpp_model_name = get_model_name_from_env_path('CONVERTED_MODEL')
print(f"Using converted model: {llamacpp_model_name}")
llamacpp_file = data_dir / f"llamacpp-{llamacpp_model_name}.bin"
if not pytorch_file.exists():
print(f"Error: PyTorch logits file not found: {pytorch_file}")