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- SocialI tested Qwen3.8 27B KLD for 21 Models at 9 different KV quants that fit on 16GB VRAM (189 benchmarks).
I calculated KLD and perplexity for Qwen3.8 27B models that fit 16GB VRAM: See comments for the benchmarks. Reddit filters keeps deleting the post. Conclusion: q5_1/q5_1 is almost always better than q
- SocialJais 3 is out
New open model to check out ! Doing great on agentic, focused on arabic. From 0.9B to 375B ! Weights : https://huggingface.co/collections/IFM/jais-3   submitted by   /u/valcore93 [link]  
- SocialNew TTS king in town: Fish's Drama 3 35B3A!
Yesterday Fish released this incredible text-to-speech model, so naturally I spent the rest of the day building a great demo for them :D The model is a chunky MoE (35B3A), but it runs well on a DGX Sp
- SocialUniversity GPU cluster is holding my research hostage. Can I use my internship company’s GPUs instead? 💀 [D]
PhD student here. My university’s GPU cluster has apparently become a luxury resort. I submit a job requesting a couple of GPUs, and it takes 3–4 business days just to START running. Meanwhile, my int
- LaunchStepfun Step-5-Preview released! (600B/27B-1M Context)
Step 5 Preview is StepFun's flagship model for agentic work. It delivers frontier-level performance across software engineering and professional knowledge work, with particular strength in finance. &#
- SocialChicken-coop shed AI PC
Saw soneone post their bathroom AI PC a few weeks ago. Figured I’d contribute with my chicken-coop adjacent shed AI PC. Started with a single CMP 170HX (unlocked to 64GB) and ended up with three more
- SocialDid someone use/try the Qwen flash 3.8 next "coder" model on some work?
Looking for people who have tried this model and was able to use it on real-world tasks. It's what Strata list as "coder". What was your experience like? On my setup I am not really sure if it is wort
- SocialVery impressed with LFM2.5-24-A2B in Pi Agent
Just downloaded the new LFm2.5-24B-A2B LiquidAI model for testing. They claimed some pretty good performance, and I've had good experiences with their prior releases. Some context - I use Ornith 1.5-3
- Social4x R9700 builds with $127 used EPYCs: $10.7k all-in per machine. I built three (384GB VRAM)
I saw the 4x R9700 build for a 10-person startup here a few days ago and wanted to share my results, since I opted to spend most of the money on the cards. I went with a super cheap used EPYC instead
- SocialStrata performance finetuning - try it out
As strata is somewhat new, I assume that some people din't yet learn how to finetune it for best performance on their machine. I find documentation a bit hard to navigate (use your agents for this!),
- SocialQwen 3.8 Flash-Next compared to GLM 5.3 Flash
Anecdotally, I've noticed that QFN seems more collaborative than GLM. QFN seems willing to engage in conversation. It feels more like an assistant. GLM seems more action-oriented and less willing to c
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