Stream tokens instead of text chunks
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21d8f5fa9f
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1 changed files with 78 additions and 34 deletions
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@ -623,7 +623,7 @@ class Llama:
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b" " + prompt.encode("utf-8")
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)
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text: bytes = b""
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returned_characters: int = 0
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returned_tokens: int = 0
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stop = stop if stop is not None else []
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model_name: str = model if model is not None else self.model_path
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@ -707,33 +707,42 @@ class Llama:
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break
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if stream:
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start = returned_characters
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longest = 0
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# We want to avoid yielding any characters from
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# the generated text if they are part of a stop
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# sequence.
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longest = 0
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for s in stop_sequences:
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for i in range(len(s), 0, -1):
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if all_text.endswith(s[:i]):
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if i > longest:
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longest = i
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break
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text = all_text[: len(all_text) - longest]
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returned_characters += len(text[start:])
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yield {
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"id": completion_id,
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"object": "text_completion",
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"created": created,
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"model": model_name,
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"choices": [
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{
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"text": text[start:].decode("utf-8", errors="ignore"),
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"index": 0,
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"logprobs": None,
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"finish_reason": None,
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}
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],
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}
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offset = 0
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remaining_tokens = completion_tokens[returned_tokens:]
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remaining_length = len(self.detokenize(remaining_tokens))
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for token in remaining_tokens:
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offset += len(self.detokenize([token]))
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# Check if stop sequence is not in the token
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if offset >= (remaining_length - longest - 1):
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break
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returned_tokens += 1
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yield {
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"id": completion_id,
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"object": "text_completion",
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"created": created,
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"model": model_name,
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"choices": [
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{
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"text": self.detokenize([token]).decode(
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"utf-8", errors="ignore"
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),
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"index": 0,
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"logprobs": None,
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"finish_reason": None,
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}
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],
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}
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if len(completion_tokens) >= max_tokens:
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text = self.detokenize(completion_tokens)
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@ -749,22 +758,57 @@ class Llama:
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llama_cpp.llama_print_timings(self.ctx)
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if stream:
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yield {
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"id": completion_id,
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"object": "text_completion",
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"created": created,
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"model": model_name,
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"choices": [
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{
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"text": text[returned_characters:].decode(
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"utf-8", errors="ignore"
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),
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"index": 0,
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"logprobs": None,
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"finish_reason": finish_reason,
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remaining_tokens = completion_tokens[returned_tokens:]
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all_text = self.detokenize(remaining_tokens)
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any_stop = [s for s in stop_sequences if s in all_text]
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if len(any_stop) > 0:
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end = min(all_text.index(stop) for stop in any_stop)
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else:
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end = len(all_text)
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offset = 0
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for token in remaining_tokens:
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offset += len(self.detokenize([token]))
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if offset >= end:
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last_text = self.detokenize([token])
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if offset == end - 1:
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break
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yield {
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"id": completion_id,
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"object": "text_completion",
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"created": created,
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"model": model_name,
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"choices": [
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{
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"text": last_text[
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: len(last_text) - (offset - end)
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].decode("utf-8", errors="ignore"),
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"index": 0,
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"logprobs": None,
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"finish_reason": finish_reason,
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}
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],
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}
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],
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}
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break
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returned_tokens += 1
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yield {
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"id": completion_id,
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"object": "text_completion",
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"created": created,
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"model": model_name,
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"choices": [
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{
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"text": self.detokenize([token]).decode(
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"utf-8", errors="ignore"
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),
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"index": 0,
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"logprobs": None,
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"finish_reason": finish_reason
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if returned_tokens == len(completion_tokens)
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else None,
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}
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],
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}
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return
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text_str = text.decode("utf-8", errors="ignore")
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