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Use new definitions of Model / SKU

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This commit is contained in:
Ashwin Bharambe 2024-07-31 11:36:16 -07:00
parent 156bfa0e15
commit 09cf3fe78b
8 changed files with 63 additions and 65 deletions
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30
llama_toolchain/cli/model/describe.py
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@ -9,7 +9,7 @@ import json
from enum import Enum
from llama_models.sku_list import llama3_1_model_list
from llama_models.sku_list import resolve_model
from termcolor import colored
@ -47,20 +47,13 @@ class ModelDescribe(Subcommand):
)
def _run_model_describe_cmd(self, args: argparse.Namespace) -> None:
models = llama3_1_model_list()
by_id = {model.sku.value: model for model in models}
if args.model_id not in by_id:
print(
model = resolve_model(args.model_id)
if model is None:
self.parser.error(
f"Model {args.model_id} not found; try 'llama model list' for a list of available models."
)
return
model = by_id[args.model_id]
sampling_params = model.recommended_sampling_params.dict()
for k in ("max_tokens", "repetition_penalty"):
del sampling_params[k]
rows = [
(
colored("Model", "white", attrs=["bold"]),
@ -70,13 +63,20 @@ class ModelDescribe(Subcommand):
("Description", model.description_markdown),
("Context Length", f"{model.max_seq_length // 1024}K tokens"),
("Weights format", model.quantization_format.value),
(
"Recommended sampling params",
json.dumps(sampling_params, cls=EnumEncoder, indent=4),
),
("Model params.json", json.dumps(model.model_args, indent=4)),
]
if model.recommended_sampling_params is not None:
sampling_params = model.recommended_sampling_params.dict()
for k in ("max_tokens", "repetition_penalty"):
del sampling_params[k]
rows.append(
(
"Recommended sampling params",
json.dumps(sampling_params, cls=EnumEncoder, indent=4),
)
)
print_table(
rows,
separate_rows=True,