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Preserve modelname #3122

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manuelcandales wants to merge 1 commit into from
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Preserve modelname #3122

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4 changes: 4 additions & 0 deletions examples/models/llama2/builder.py
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Original file line number Diff line number Diff line change
Expand Up @@ -62,6 +62,7 @@ def to_torch_dtype(self) -> torch.dtype:

def load_llama_model(
*,
modelname: str = "llama2",
checkpoint: Optional[str] = None,
checkpoint_dir: Optional[str] = None,
params_path: str,
Expand Down Expand Up @@ -114,6 +115,7 @@ def load_llama_model(

return LlamaEdgeManager(
model=model,
modelname=modelname,
weight_type=weight_type,
dtype=dtype,
use_kv_cache=use_kv_cache,
Expand All @@ -131,6 +133,7 @@ class LlamaEdgeManager:
def __init__(
self,
model,
modelname,
weight_type,
dtype,
use_kv_cache,
Expand All @@ -139,6 +142,7 @@ def __init__(
verbose: bool = False,
):
self.model = model
self.modelname = modelname
self.weight_type = weight_type
self.dtype = dtype
self.example_inputs = example_inputs
Expand Down
4 changes: 3 additions & 1 deletion examples/models/llama2/export_llama_lib.py
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Original file line number Diff line number Diff line change
Expand Up @@ -485,7 +485,6 @@ def _prepare_for_llama_export(modelname: str, args) -> LlamaEdgeManager:
)
params_path = canonical_path(args.params)
output_dir_path = canonical_path(args.output_dir, dir=True)
modelname = "llama2"
weight_type = WeightType.FAIRSEQ2 if args.fairseq2 else WeightType.LLAMA

# dtype override
Expand Down Expand Up @@ -552,6 +551,7 @@ def _prepare_for_llama_export(modelname: str, args) -> LlamaEdgeManager:

return (
load_llama_model(
modelname=modelname,
checkpoint=checkpoint_path,
checkpoint_dir=checkpoint_dir,
params_path=params_path,
Expand Down Expand Up @@ -599,6 +599,8 @@ def _export_llama(modelname, args) -> str: # noqa: C901
modelname, args
).export_to_edge(quantizers)

modelname = builder_exported_to_edge.modelname

# to_backend
partitioners = []
if pt2e_quant_params is not None and pt2e_quant_params.quantize_linear is not None:
Expand Down