Community compresses MiniMax M3.1 Flash quantized weights to 93 GB
11/02/2026 — 11/03, 00:16·1 sources (all)·1 reports (all)
Key takeaways
- Open-source developers compressed the MiniMax M3.1 Flash weight files from 252.4 GB to 93 GB within 10 days, maintaining high performance ac…
Background & analysis
According to a discussion in the Reddit LocalLLaMA subreddit on 2026-11-02, MiniMax had posted a thank-you the previous day to everyone quantizing MiniMax M3.1 Flash (428B, 252.4 GB). The poster went through the versions the company named and listed each builder's own figures, noting that separate eval sets make the numbers non-comparable.
The most aggressive cut was for 128 GB PCs: Maya-XS by PeasantSmith, 93 GB, with 88.8% top-1 agreement on tool calls and agents. For a single DGX Spark, SAGE-EXL3 by ViC305 runs 108.64 GiB, posting 96.89% top-1 on held-out sequences and 24.37 to 29.72 tok/s decode at 48K context. For 160 GB+ rigs, Unsloth UD-Q2_K_XL is 143.9 GB with 91.5% weighted top-1 across seven categories. A setup on 4x 3090 was also mentioned, though the excerpt cuts off there.
So the community squeezed the weights from 252.4 GB toward roughly 93 GB depending on the hardware target, and MiniMax acknowledged the work publicly.
AI-generated from 1 reports · updated 3 days ago
Related AI tools
- Heat index
- 25
- All sources
- 1
- All reports
- 1
- First seen
- 3 days ago
Reports on this story headlines open the original
According to Reddit, open-source builders successfully quantized the MiniMax M3.1 Flash model weights from 252.4 GB down to 93 GB within 10 days, adapting it for various hardware setups while retaining strong evaluation scores, earning public recognition from MiniMax.
Reddit · LocalLLaMAAI score 67
Other stories people are talking about
- Heat index 840OpenAI ships Images 2.6 with GIF and SVG output15 sources
- Heat index 675OpenAI says its cyber model pipeline confirmed 1,724 Linux kernel flaws and generated 948 privilege-escalation exploits11 sources
- Heat index 642RisingOpenAI GPT-5.6 Brings Major Agentic and Computer Use Upgrades13 sources
- Heat index 633RisingCat Wu, product lead for Claude Code, joins OpenAI9 sources
- Heat index 630NewSurgeOpenAI releases GPT-6 Cyber cybersecurity model7 sources
How is heat calculated?About the methodHide
Heat counts how many independent sources covered a story in the last 48 hours: one source counts once no matter how many posts it published, decaying with a 24-hour half-life. What ranks first is what many people are talking about.
This page aggregates public feeds. Headlines and summaries are machine-organized and remain the property of the original authors; verify important facts at the source. If you believe a headline or summary infringes your rights, email the contact address in the footer with the page URL and basis of your claim, and we will remove or replace it after review.
- Surge
- Discussion rising fast
- New
- First report within 6 hours
- Rising
- Still gathering discussion

