Qwen: Extending the Context Length to 1M Tokens (via) The new Qwen2.5-Turbo boasts a million token context window (up from 128,000 for Qwen 2.5) and faster performance:
Using sparse attention mechanisms, we successfully reduced the time to first token for processing a context of 1M tokens from 4.9 minutes to 68 seconds, achieving a 4.3x speedup.
The benchmarks they've published look impressive, including a 100% score on the 1M-token passkey retrieval task (not the first model to achieve this).
There's a catch: unlike previous models in the Qwen 2.5 series it looks like this one hasn't been released as open weights: it's available exclusively via their (inexpensive) paid API - for which it looks like you may need a +86 Chinese phone number.
Recent articles
- Project: Civic Band - scraping and searching PDF meeting minutes from hundreds of municipalities - 16th November 2024
- Qwen2.5-Coder-32B is an LLM that can code well that runs on my Mac - 12th November 2024
- Visualizing local election results with Datasette, Observable and MapLibre GL - 9th November 2024