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fix: Clarify llama model prompt-format
help text
Updates the help text for the `llama model prompt-format` command to clarify that users should provide a specific model name (e.g., Llama3.1-8B, Llama3.2-11B-Vision), not a model family. Removes the default value and field for `--model-name` to prevent users from mistakenly thinking a model family name is acceptable. Adds guidance to run `llama model list` to view valid model names. Signed-off-by: Alina Ryan <aliryan@redhat.com>
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parent
10bda65b94
commit
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1 changed files with 10 additions and 4 deletions
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@ -38,8 +38,8 @@ class ModelPromptFormat(Subcommand):
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"-m",
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"-m",
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"--model-name",
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"--model-name",
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type=str,
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type=str,
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default="llama3_1",
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help="Example: Llama3.1-8B or Llama3.2-11B-Vision, etc\n"
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help="Model Family (llama3_1, llama3_X, etc.)",
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"(Run `llama model list` to see a list of valid model names)",
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)
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)
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def _run_model_template_cmd(self, args: argparse.Namespace) -> None:
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def _run_model_template_cmd(self, args: argparse.Namespace) -> None:
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@ -53,10 +53,16 @@ class ModelPromptFormat(Subcommand):
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try:
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try:
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model_id = CoreModelId(args.model_name)
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model_id = CoreModelId(args.model_name)
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except ValueError:
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except ValueError:
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self.parser.error(f"{args.model_name} is not a valid Model. Choose one from --\n{model_str}")
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self.parser.error(
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f"{args.model_name} is not a valid Model. Choose one from the list of valid models. "
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f"Run `llama model list` to see the valid model names."
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)
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if model_id not in supported_model_ids:
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if model_id not in supported_model_ids:
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self.parser.error(f"{model_id} is not a valid Model. Choose one from --\n {model_str}")
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self.parser.error(
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f"{model_id} is not a valid Model. Choose one from the list of valid models. "
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f"Run `llama model list` to see the valid model names."
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)
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llama_3_1_file = importlib.resources.files("llama_models") / "llama3_1/prompt_format.md"
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llama_3_1_file = importlib.resources.files("llama_models") / "llama3_1/prompt_format.md"
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llama_3_2_text_file = importlib.resources.files("llama_models") / "llama3_2/text_prompt_format.md"
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llama_3_2_text_file = importlib.resources.files("llama_models") / "llama3_2/text_prompt_format.md"
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