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llama.cpp
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convert: rework ftype heuristics (#18214) 

* convert: rework ftype heuristics

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

convert: fix type-check

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

convert: bring back heuristics comment

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* convert: revert to using first tensor

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* convert: rework heuristics logic

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* convert: rm redundant float32 check

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>

---------

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
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Aaron Teo 2025-12-22 20:03:49 +08:00 committed by GitHub
parent 86af848153
commit a28310488c
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1 changed files with 18 additions and 10 deletions
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28
convert_hf_to_gguf.py
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@ -141,16 +141,24 @@ class ModelBase:
self.model_name = model_name
self.dir_model_card = dir_model # overridden in convert_lora_to_gguf.py
# Apply heuristics to figure out typical tensor encoding based on first layer tensor encoding type
# Apply heuristics to figure out typical tensor encoding based on first tensor's dtype
# NOTE: can't use field "torch_dtype" in config.json, because some finetunes lie.
if self.ftype == gguf.LlamaFileType.GUESSED:
# NOTE: can't use field "torch_dtype" in config.json, because some finetunes lie.
_, first_tensor = next(self.get_tensors())
if first_tensor.dtype == torch.float16:
logger.info(f"choosing --outtype f16 from first tensor type ({first_tensor.dtype})")
self.ftype = gguf.LlamaFileType.MOSTLY_F16
for _, tensor in self.get_tensors():
if tensor.dim() < 2:
continue
if tensor.dtype == torch.bfloat16:
self.ftype = gguf.LlamaFileType.MOSTLY_BF16
logger.info("heuristics detected bfloat16 tensor dtype, setting --outtype bf16")
break
elif tensor.dtype == torch.float16:
self.ftype = gguf.LlamaFileType.MOSTLY_F16
logger.info("heuristics detected float16 tensor dtype, setting --outtype f16")
break
else:
logger.info(f"choosing --outtype bf16 from first tensor type ({first_tensor.dtype})")
self.ftype = gguf.LlamaFileType.MOSTLY_BF16
self.ftype = gguf.LlamaFileType.MOSTLY_F16
logger.info("heuristics unable to detect tensor dtype, defaulting to --outtype f16")
self.dequant_model()
@ -10557,8 +10565,8 @@ def parse_args() -> argparse.Namespace:
help="path to write to; default: based on input. {ftype} will be replaced by the outtype.",
)
parser.add_argument(
"--outtype", type=str, choices=["f32", "f16", "bf16", "q8_0", "tq1_0", "tq2_0", "auto"], default="f16",
help="output format - use f32 for float32, f16 for float16, bf16 for bfloat16, q8_0 for Q8_0, tq1_0 or tq2_0 for ternary, and auto for the highest-fidelity 16-bit float type depending on the first loaded tensor type",
"--outtype", type=str, choices=["f32", "f16", "bf16", "q8_0", "tq1_0", "tq2_0", "auto"], default="auto",
help="output format - use f32 for float32, f16 for float16, bf16 for bfloat16, q8_0 for Q8_0, tq1_0 or tq2_0 for ternary, and auto for the highest-fidelity 16-bit float type",
)
parser.add_argument(
"--bigendian", action="store_true",