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update generate prompt format

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This commit is contained in:
Ashwin Bharambe 2025-04-07 14:54:43 -07:00
parent 76004eacb4
commit 35aac86997
2 changed files with 36 additions and 62 deletions
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56
llama_stack/models/llama/prompt_format.py
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@ -35,7 +35,6 @@ from .llama3.template_data import (
system_message_builtin_tools_only,
system_message_custom_tools_only,
)
from .llama4.datatypes import LLMInput
class TextCompletionContent(BaseModel):
@ -74,21 +73,22 @@ class UseCase(BaseModel):
text += dialog
text += "\n\n"
continue
elif isinstance(dialog, TextCompletionContent):
input_tokens, output_tokens = generator.text_completion_raw(
dialog.content,
temperature=0.1,
top_p=0.95,
max_gen_len=64,
)
else:
input_tokens, output_tokens = generator.chat_completion_raw(
dialog,
temperature=0.0,
top_p=0.95,
max_gen_len=self.max_gen_len,
batch = [dialog]
method = (
generator.completion if isinstance(dialog, TextCompletionContent) else generator.chat_completion
)
input_tokens = []
output_tokens = []
for token_results in method(batch, echo=True, temperature=0.1, top_p=0.95):
result = token_results[0]
if result.source == "input":
input_tokens.append(result.token)
else:
output_tokens.append(result.token)
if result.finished:
break
text += "##### Input Prompt Format\n"
# FIXME: This is added to undo the hack in chat_formatter where
@ -124,27 +124,27 @@ class Llama4UseCase(UseCase):
text = ""
tokenizer = Tokenizer.get_instance()
temperature = 0.0
for dialog in self.dialogs:
if isinstance(dialog, str):
text += dialog
text += "\n\n"
continue
elif isinstance(dialog, TextCompletionContent):
# TODO pass the raw input and do the encoding in the text completion function
input_tokens = tokenizer.encode(dialog.content, bos=True, eos=False)
llm_input = LLMInput(tokens=input_tokens)
output_tokens, decoded_tokens, token_logprobs = generator.text_completion_raw(
llm_input, temperature=temperature, max_gen_len=self.max_gen_len
)
else:
input_tokens, output_tokens = generator.chat_completion_raw(
dialog,
temperature=temperature,
max_gen_len=self.max_gen_len,
batch = [dialog]
method = (
generator.completion if isinstance(dialog, TextCompletionContent) else generator.chat_completion
)
input_tokens = []
output_tokens = []
for token_results in method(batch, echo=True, temperature=0.0):
result = token_results[0]
if result.source == "input":
input_tokens.append(result.token)
else:
output_tokens.append(result.token)
if result.finished:
break
text += "##### Input Prompt Format\n"
text += _code_block(tokenizer.decode(input_tokens))