A user on the r/LocalLLaMA subreddit is seeking recommendations for small, unquantized language models suitable for a data pipeline. The primary goal is to process approximately 90 million texts with a hallucination rate below 10%, using Gemini Pro 3.1 as a teacher model. The user has a strong fine-tuning dataset but has found smaller multimodal models like Qwen3.5-2B to be ineffective for their specific reasoning and extraction tasks. AI
IMPACT Identifies a need for efficient, small-scale LLMs capable of complex reasoning in data processing pipelines.
RANK_REASON User query on a subreddit seeking model recommendations.
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →
