Fg-selective-english.bin | |link|

For mobile or Raspberry Pi deployments of language models, loading a full 7B model is impossible. However, using fg-selective-english.bin as a drafting or speculative decoding model allows a small 1B-parameter model to achieve the quality of a 7B model on English tasks—by selectively invoking the larger model only on ambiguous tokens.

print(output["skipped_tokens"])

No love letters. No protest songs. No jokes. fg-selective-english.bin

The screen flickered. A list of preserved texts appeared: technical manuals, crop rotation schedules, a handful of legal documents, and three children’s stories—all sanitized, all flat. For mobile or Raspberry Pi deployments of language