LLM Inference

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147th airhacks tv: Local LLMs, LightMetal, ZSmith Agents, AI Rails, Saving Tokens

 🧠LLMs  Content type: Blog
adambien.blog·

local llm on laptop 780M GPU using llama + gemma 4 qat

 🧠LLMs  Content type: Blog
alper.bearblog.dev·
Less-relevant results

fix(memory-core): filter stale recall entries in REM harness preview · openclaw/openclaw@92418fc

 🧠LLMs  Content type: Code
github.com·

Clairvoyant: Predictive SJF Scheduling to Mitigate Head-of-Line Blocking in Serial LLM Backends

 🧠LLMs  Content type: Academic
arxiv.org·

DeskDash - a free Windows tool to easily manage your GGUF files

 🔍RAG
gerry7.itch.io··r/LocalLLaMA

PagedAttention vs Traditional KV Cache: How vLLM Reinvented GPU Memory for LLM Inference

 🧠LLMs  Content type: Blog
medium.com
·

LLM Inference Engineering Room — Part 3: The Orchestration Layer

 🧠LLMs  Content type: Blog
vimal-dwarampudi.medium.com·

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

 🧠LLMs
t4t.eth.link··Hacker News

Speculators v0.5.0: DFlash support and online training

 🧠LLMs
developers.redhat.com·

Apples to Apples: MLX vs. Llama.cpp for Gemma 4 12B on an M1 16GB

 🧠LLMs  Content type: Blog
ziraph.com··Hacker News

andreyvgavrilov/food_database: AI agent to evaluate recipe nutrition

 🧠LLMs  Content type: Code
github.com··r/mcp

RakuOS fixes the one thing that annoys me most about immutable Linux distros

 🧠LLMs  Content type: News
zdnet.com·

Google Shrank Gemma 4 by 72% and Unsloth Fixed the 4-Bit Bug Nobody Else Caught on One 4090, and 4-Bit Shouldn’t Be This Good

 🧠LLMs  Content type: Blog
towardsai.net·

google/gemma-4-31B-it · fix: chat template — null handling, reasoning preservation, turn-tag balance, input validation

 🤖AI Engineering
huggingface.co··r/LocalLLaMA

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

 🧠LLMs  Content type: Video
youtube.com·

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

 🤖ai
local-llm.utop.workers.dev··Hacker News

"AI" Is Eating Platform Monopolist Free Cash Flow, Not the World: CHART OF THE DAY

 🧠LLMs  Content type: News  Content type: Blog
braddelong.substack.com··Substack

harshuljain13/llm-inference-at-scale: A Practitioner handbook for production llm serving.

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

Breaking the Ice: Analyzing Cold Start Latency in vLLM

 🤖AI Engineering  Content type: Academic
arxiv.org·

Omnifs: APIs and data sources as files you can ls, cat, grep, and pipe

 🧠LLMs
omnifs.dev··Hacker News

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