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Long story creation leads to single token responses when context grows #1944
I used a story generator with strata 0.1.42, which sends a request for every section with the content of all earlier request as context and there it happened, that after about 12000 tokens, the responses are cut in the middle and all following responses return only one token anymore.
I'm using RTX5070ti 16GB, 7950X3d and 64GB RAM. The configuration is:
"--expert-cache",
"auto",
"--prefill",
"auto",
"--spec",
"4",
"--mtp",
"D:\AI\Strata-data\mtp\rt",
"--max-context",
"131072",
"--kv",
"int8",
"--kv-resident",
"32768",
"--spec-min-p",
"0.5",
"--pool-workers",
"8",
"--adapt-every",
"1",
"--adapt-swaps",
"160",
"--adapt-decay",
"0.97"
With strata 0.1.39, the error seems not to happen. There, I just wrote a 90000 character story without any broken chapters with the same config.
I made another test with 200k context and q4_0. There, a story with about 30k token was correctly finished. Another story creation without closing the program and strata ended after about 20k token. So it may help to increase the context.
with strata 0.1.44.1 and IQ3-XXS. It worked well and the story was consistent. The main change was doubling the VRAM reserve, but I don't know, if this is really the issue.
We're resetting the tracker for 0.2.0-beta. There are more than 1,300 open issues and pull requests, too many for us to read properly, so we're closing everything that isn't being worked on right now. Closed here does not mean rejected.
To reopen it takes about two minutes:
Re-test on 0.2.0-beta. It may already be fixed. Write down what you see.
Start the title with its area: [Engine], [GUI], [TUI], [Benchmark], [Docs] or [Other].
Fill in the parts of the issue form: what happened, the Strata version, your graphics card, memory and system.
Comment /reopen. A check runs and either reopens the issue or lists what is still missing.
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RobinMeyer commentedon Oct 11, 2026
Sorry, now the same error happened also with v0.1.39, when creating another story, while the same strata was still running.
If you want to test the behavior: https://github.com/RobinMeyer/AI_Story_Generator
RobinMeyer commentedon Oct 11, 2026
I made another test with 200k context and q4_0. There, a story with about 30k token was correctly finished. Another story creation without closing the program and strata ended after about 20k token. So it may help to increase the context.
RobinMeyer commentedon Oct 15, 2026
Today, I made a story of about 45k token with these settings:
with strata 0.1.44.1 and IQ3-XXS. It worked well and the story was consistent. The main change was doubling the VRAM reserve, but I don't know, if this is really the issue.
Niko1221 commentedon Oct 19, 2026
Thanks for taking the time to report this.
We're resetting the tracker for 0.2.0-beta. There are more than 1,300 open issues and pull requests, too many for us to read properly, so we're closing everything that isn't being worked on right now. Closed here does not mean rejected.
To reopen it takes about two minutes:
/reopen. A check runs and either reopens the issue or lists what is still missing.The rules are in CONTRIBUTING.md.