Hi, are you able to use Qwen's 128k context length with Ollama? Using AnythingLLM + Ollamma and a GGUF version I kept getting an error message with prompts longer than 32,000 tokens. (summarizing long transcripts)
After reading a lot of that thread, my understanding is that yarn scaling is disabled intentionally by default in the GGUFs, because it would degrade outputs for contexts that do fit in 32k. So the only change is enabling yarn scaling at 4x, which is just a configuration setting. GGUF has these configuration settings embedded in the file format for ease of use. But you should be able to override them without downloading an entire duplicate set of weights (12 to 35 GB!). (It looks like in llama.cpp the override-kv option can be used for this, but I haven't tried it yet.)
Yeah unfortunately that's the exact model I'm using (Q5 version. What I've been doing is first loading the transcript into the vector database, and then giving it a prompt thats like "summarize the transcript below: <full text of transcript>". This works surprisingly well except for one transcript I had which was of a 3 hour meeting that was per an online calculator about 38,000 tokens. Cutting the text up into 3 parts and pretending each was a seperate meeting* lead to a bunch of hallucinations for some reason.
*In theory this shouldn't matter much for my purpose of summarizing city council meetings that follow a predictable format.
