Why use Quants other than Unsloth
The discussion began on 19 May with a broad question on LocalLLaMA: why use quantizations from providers besides Unsloth? By 12 September, it had narrowed to a direct comparison of Unsloth’s UD-IQ3_S and ISTA-DASLab’s GSQ-RCO-IQ3_S for Qwen3.8 27B.
The community remains divided over whether i-Quants are overrated, whether higher quants are better, and whether Unsloth should re-quantize Qwen3.6 35 A3B and 27B using UD 3.0. Other LocalLLaMA posts discuss community quants, compare Q4, Q8 and 16-bit versions of Gemma and Qwen, and claim Unsloth’s MiniMax-M2.7-GGUF in UD-Q4_K_XL is broken and should be avoided.
Other threads ask whether Qwen 3.6 27B and 35B make roughly 30B models obsolete. A local benchmark compares Muse Glimmer 30B, Qwen 3.6 27B, Gemma4 31B and other models and finetunes. The argument now judges quant choices model by model, usually among users trying to get more from limited hardware.
If treated as factual, the impact is 10%. The immediate effect is on local-model users choosing between Unsloth and community alternatives, and on quant maintainers fielding requests for new versions. The discussion encourages direct comparisons of specific quant methods and makes the provider name less useful as a shortcut for quality.
Watch for published side-by-side results comparing Unsloth’s UD-IQ3_S with ISTA-DASLab’s GSQ-RCO-IQ3_S on Qwen3.8 27B. Also watch for any Unsloth response to the re-quantization requests or the reported MiniMax-M2.7-GGUF problem.
<!-- SC_OFF --><div class="md"><p>Have Qwen 3.6 27B and Qwen 3.6 35B basically made most of the older ~30B models irrelevant?</p> <p>They seem to beat stuff like Qwen coder 30B,
<!-- SC_OFF --><div class="md"><p>We all know modern "intelligent" Quantization that uses an imatrix to make a Q4_K_XL model to feel like Q6_K.</p> <p>But here is what i
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1sk6l63/unsloth_minimaxm27gguf_in_broken_udq4_k_xl_avoid/"> <img alt="unsloth - MiniMax-M2.7-GGUF in BROKEN
<!-- SC_OFF --><div class="md"><p>Hi all,</p> <p>Might be a newbie question. So sorry for that already. </p> <p>Ive seen many gguf quants from community here and on huggingface.
<!-- SC_OFF --><div class="md"><p>Some people say they’d never go under Q8, and others say they find Q3 acceptable! What’s your take?</p> </div><!-- SC_ON -->   submitted by
<!-- SC_OFF --><div class="md"><p>UD 3.0 seems to be a massive improvement over UD 2.0 Some of us still want to run the older Qwen models but would benefit from UD 3.0</p> <p>UD
<!-- SC_OFF --><div class="md"><p>Doing my benchmarks over policy reasoning in my industry I noticed the bf16 crushes and the q4 is literally unusable. </p> </div><!-- SC_ON -->
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1seua77/gemma_4_31b_gguf_quants_ranked_by_kl_divergence/"> <img alt="Gemma 4 31B GGUF quants ranked by KL
NewsHive monitors these sources continuously. All signal titles above link to the original reporting.
Intelligence by NewsHive. Need help navigating what this means for your business? Contact GeekyBee →