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Qwen3.8-Flash-Next optimised for Macs
Running on a M1 Max 64 GB: - SSD streaming for tensors - SSD streaming for engrams - SSD streaming f…
It's official! 192GB Framework
Just noticed this on the website. At their current price tiers for the memory SKUs (32, 64, 128) I'd…
an unscientific qwen 3.8 flash next and glm 5.3 flash comparison
I stole the reference image from a recent post on r/stablediffusion, and then asked both qwen 3.8 fl…
FlashMLA sm_120 kernel build with 2-3x performance increase from SPDA
Hey guys I have been working on a open source LLM development repo. Anyone can train any amount of p…
Ran Qwen3.8-Flash-Next (79 GB, 2-bit) at 350K ctx for 3.5 hours on a 128 GB M5 Max — speed vs context depth, 100 turns, one graph
Setup: MacBook Pro M5 Max, 128 GB unified, macOS 26.5.2 · llama.cpp b10686 (Metal, 12 threads, batch…
What would you do with $4,000?
I already have a 5090 that I use got Hermes and coding mostly. My only jealously is trying models th…
Nemotron-3.5-Lightning at 11.77 GiB, a 16 GB option for a model that didn't have one
TL;DR: Every public low-bit GGUF of this model is secretly ~4.70 bpw. Shim the rows to 256 and it b…
Humaneval benchmark for Deepseek V4 Flash 0731 vs GLM5.3 Flash on 2x DGX Spark setup
I have a 2 DGX Spark setup recently and I have been happily running Deepseek V4 Flash 0731. Since th…
Any current Voice2Voice AI model that runs locally that’s good?
(I mean STS) You guys remember sesame AI? With their really good AI voice model? Obviously ChatGPT h…
67-84 t/s DeepSeek flash v4 off 2x GX10s
Finally achieved usable results with 2 gx10 at over 65 tokens a second sustained. The 2570 prompt ev…
llama.cpp Open PRs list - CPU/RAM/Disk/Hybrid Related - Better for CPU-only & Hybrid inference
Folks! We're just 50 PRs away from more faster inference. Hopefully by end of year. Experts!, please…
This finance-model benchmark card is more useful for what it discloses than for who "wins"
The official benchmark card for Ling-3.0-flash-Fin is a useful reminder that the unit being tested i…