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Has anyone experienced random chat compact with Qwen3-Coder-Next at 30k tokens i

BACKGROUND
1 SIGNALFIRST DETECTED 1 April 2026
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Other feeds and industry voices
28 Apr
Qwen3.6-27B-GGUF:UD-Q8_K_XL and llama.cpp issue (DGX SPARK)

<!-- SC_OFF --><div class="md"><p>Hey all, </p> <p>im having a crisis that i just cant figure... </p> <p>i used Qwen3.6-27B-GGUF:UD-Q8_K_XL ever since it came out (on a DGX SPARK)

OPINION · WHAT · LocalLLaMAOPEN STORY
9 Apr
AI to program on my local computers

<!-- SC_OFF --><div class="md"><p>Hi,</p> <p>I taught Computer Science for 30 years in a French School of Electrical Engineering, Computer Science Department.</p> <p>I recently

OPINION · WHAT · LocalLLaMAOPEN STORY
25 Mar
Qwen3.5-397B-A17B reaches 20 t/s TG and 700t/s PP with a 5090

<!-- SC_OFF --><div class="md"><p>I could not find good data points on what speed one could get with a single 5090 and enough DDR4 RAM. </p> <p>My system: AMD EPYC 7532 32core

OPINION · WHAT · LocalLLaMAOPEN STORY
15 Apr
Been trying to get Qwen 3.5 to stop reasoning using old methods like /no_think, it didn't work, but it said something like "too late" in its reasoning

<!-- SC_OFF --><div class="md"><blockquote> <p>Wait, I need to be careful about the &quot;no_think&quot; tag in the system prompt. The system prompt says <code>/no_think</code>.

OPINION · WHO · LocalLLaMAOPEN STORY
14 May
Anthropic merges consecutive same-role messages, OpenAI doesn't (+4 tokens), anyone token-counted this on open-weight models?

<!-- SC_OFF --><div class="md"><p>I build context/harness optimization tooling, so provider-side serialization quirks actually matter to me. If you're optimizing over prompts, you

OPINION · WHAT · LocalLLaMAOPEN STORY
3 Oct
"Chat Memory Full" I hardly had even 10 messages? Is this a temporary bug?

<table> <tr><td> <a href="https://www.reddit.com/r/ChatGPT/comments/1wwqtsm/chat_memory_full_i_hardly_had_even_10_messages_is/"> <img alt="&quot;Chat Memory Full&quot; I hardly

OPINION · WHAT · ChatGPTOPEN STORY
2 Oct
Heavily quantized Qwen3.8-Flash vs Q8 Qwen3.8-27B - thoughts?

<!-- SC_OFF --><div class="md"><p>I'm currently choosing between IQ3_XXS Qwen-3.8-Flash and Q8_0 27B.</p> <p>This month I don't have anything complex enough to justify either's

OPINION · HOW · LocalLLaMAOPEN STORY
3 May
Does running a model (like qwen3.6-27b) on vllm or transformers use less VRAM than llama.cpp?

<!-- SC_OFF --><div class="md"><p>I have been using llama.cpp to run some models recently. For example, I've been running GLM-4.7-Flash with this command <code>.\llama-server.exe

OPINION · HOW · LocalLLaMAOPEN STORY
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