Inference

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Scoured 271 posts in 7.8 ms

Token4Token — pay-per-token inference on Gnosis + Swarm

 🧠LLMs

Running Qwen 35B MoE at 450k Context on a Single 32GB GPU

 🛠️Compilers

Pruned YOLOv8 ONNX INT8 Fails: 3 Fixes That Work

 🤖AI  Content type: Blog  Content type: Discussion
tildalice.io·

Renew

 🔀Concurrency
flathub.org·

Alignment Collapse Under KV Cache Quantization: Diagnosis and Mitigation

 🧠LLMs  Content type: Academic
arxiv.org·

China's Xiaomi MiMo Is Now 15X Faster Than ChatGPT and Claude (4 minute read)

 ☁️Cloud  Content type: News
decrypt.co·

Gemma 4 12B: A unified, encoder-free multimodal model

 🧠LLMs  Content type: Discussion

Building & Benchmarking: LLMs on a 16GB Jetson Orin NX for Hermes Agent

 🎮GPUs  Content type: Blog
dnhkng.github.io·

Where to Host Your Open-Source Model (Under 10B Parameters)

 ☁️Cloud
digitalocean.com·

BeeLlama.cpp DFlash on Strix Halo: 2.7x Gemma 31B, But MTP Is Still Faster

 🎮GPUs
sleepingrobots.com·

Xiaomi MiMo-V2.5-Pro Just Hit 1,000 Tokens Per Second!

 🔧Hardware
gizchina.com·

Youssof Altoukhi (@Youssofal_)

 🧠LLMs
xcancel.com··r/LocalLLaMA

huawei-csl/KVarN: KVarN is a native vLLM KV-cache quantization backend for your agents: 3-5x more context, throughput above FP16, and FP16-level accuracy. Calibration-free, one flag.

 🧠LLMs  Content type: Code
github.com··Hacker News

Optimal Post-Training Quantization Scales and Where to Find Them

 🧠LLMs  Content type: Academic
arxiv.org·

Ideogram4 GGUF is out!

 🔤PLT

TGI(SG)F.

 🧠LLMs  Content type: News
theverge.com
·

How to Run Gemma 4 12B Locally - The Best AI For Consumer Laptops

 🧠LLMs  Content type: Video
youtube.com·

Google releases Gemma 4 QAT models for local AI on enterprise laptops

 🏗️MLSys
4sysops.com·

Latest technical articles & videos.

 🧠LLMs
certdepot.net·

Trainable Smooth-Rotation Transforms with Learned Channel Scales for LLM Quantization

 🧠LLMs  Content type: Academic
arxiv.org·
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