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A Reddit user asked if there was a 3B model that could handle up to at least 200,000 tokens of context. This is important because they need this for processing conversation transcripts from larger models in their interpretability project.
- The request specifies the need for a small, usable model with a large context window, which is ideal for tasks requiring prefilling without generating unnecessary outputs.
- Some users suggested qwen 3.5-2B as having potential to meet these requirements, but more testing would be needed to confirm its suitability.
- This issue highlights the ongoing need for models that can handle large context windows efficiently, especially in applications where memory and computational resources are critical.
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