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I noticed a post on r/LocalLLaMA asking if there is a 3B model with a usable context window of at least 200,000 tokens. The poster is looking for a small model to process conversation transcripts from larger models while maintaining a good context window.
- The ask includes the need for a low hallucination rate and not being overly verbose.
- Some potential candidates have been identified, including qwen 3.5-2B as having the best potential to meet these requirements.
- This context window is crucial for an interpretability project that operates entirely in prefill mode, ensuring fast enough performance and smartness.
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– The post on r/LocalLLaMA asked if there is a 3B model with a usable context window of at least 200,000 tokens.
– Potential candidates like qwen 3.5-2B have been identified as having the best potential to meet these requirements.
– This context window is critical for an interpretability project that operates in prefill mode, requiring fast performance and smartness.
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