{ "subreddit": "r/ollama", "page": "https://redlisten.com/r/ollama", "updated": "2026-11-09T09:11:25.408Z", "members": 143599, "activity": { "posts_last_24_hours": 14, "posts_per_hour": 0.5, "comments_per_hour": 2.8, "newest_post_utc": 1794212847.482, "newest_comment_utc": 1794213732.022 }, "top_threads_this_week": [ { "title": "Kimi 3.1 Pro", "score": 59, "comments": 5, "created_utc": 1793857846.838, "snippet": "Has someone experience with it?", "url": "https://www.reddit.com/r/ollama/comments/1xoazsb/kimi_31_pro/" }, { "title": "What are currently the go to 4b and 9b models?", "score": 43, "comments": 38, "created_utc": 1794035599.836, "snippet": "As the title states I am currently looking for the best 4b and 9b models to run locally. What are your experiences and what would you recommend?", "url": "https://www.reddit.com/r/ollama/comments/1xq09xw/what_are_currently_the_go_to_4b_and_9b_models/" }, { "title": "What can I realistically do with local AI on a Mac mini M5 Pro (48GB)?", "score": 39, "comments": 30, "created_utc": 1794157874.209, "snippet": "I just got a Mac mini with an M5 Pro (base CPU config) and 48GB of unified memory. I want to run as much AI locally as makes sense, but it's hard to separate what actually works day to day from...", "url": "https://www.reddit.com/r/ollama/comments/1xr3fqq/what_can_i_realistically_do_with_local_ai_on_a/" }, { "title": "I built an open source meeting notetaker that summarises with local Ollama model (Google Meet and Teams)", "score": 36, "comments": 4, "created_utc": 1793805717.085, "snippet": "I wanted Otter or Fireflies style meeting notes with a bit more control/privacy, so I built OpenMinutes. A bot joins your Google Meet or Microsoft Teams call, records it, and writes a transcript...", "url": "https://www.reddit.com/r/ollama/comments/1xnqxmk/i_built_an_open_source_meeting_notetaker_that/" }, { "title": "Benchmarking Qwen3.8-27B across 6 inference engines: GGUF vs NInfer, 64K–256K context, speed AND quality", "score": 35, "comments": 13, "created_utc": 1793935338.922, "snippet": "I've been working on a comprehensive Qwen3.8-27B inference benchmark comparing six engines, including TensorSharp, Ollama, llama.cpp, vLLM, SGLang, and NInfer. Most LLM benchmarks focus on...", "url": "https://www.reddit.com/r/ollama/comments/1xp2jeb/benchmarking_qwen3827b_across_6_inference_engines/" }, { "title": "SurfSense 2.3.0: an open-source NotebookLM alternative that runs on your Ollama models", "score": 30, "comments": 5, "created_utc": 1793658090.984, "snippet": "I'm one of the maintainers, so this is self-promotion. I posted here a couple of weeks ago, and a lot has changed since, so here's an update. SurfSense is an open-source (Apache-2.0) desktop app...", "url": "https://www.reddit.com/r/ollama/comments/1xmbgho/surfsense_230_an_opensource_notebooklm/" }, { "title": "Ollama runs the brain of a stick figure that lives on my Mac desktop", "score": 28, "comments": 8, "created_utc": 1793751619.603, "snippet": "I made a stick figure that lives on my Mac desktop, and a local Ollama model decides what it does. Repo: https://github.com/surenjanath/stickman How it uses Ollama: Every 4 seconds it calls...", "url": "https://www.reddit.com/r/ollama/comments/1xn9ujh/ollama_runs_the_brain_of_a_stick_figure_that/" }, { "title": "Trying \"Weight-Space Programming\" on a local 35B GGUF to fix agent loops", "score": 22, "comments": 1, "created_utc": 1793725740.225, "snippet": "After reading MIT CSAIL’s Sparks of Weight-Space Programming (especially Experiment 8, where an LLM fixes Qwen3.5’s reasoning loops by editing 64 MLP columns directly), I wanted to see if an agent...", "url": "https://www.reddit.com/r/ollama/comments/1xmyok4/trying_weightspace_programming_on_a_local_35b/" }, { "title": "I gave my desktop pets a tiny local brain (gemma3:1b in Ollama) and now they ignore me on purpose", "score": 21, "comments": 11, "created_utc": 1794086185.705, "snippet": "I made a little Mac app with nine desktop pets: three cats, a fox, a raccoon, two dogs, a rabbit and a squirrel. They walk on top of your windows, nap, steal stuff and ignore you when you call...", "url": "https://www.reddit.com/r/ollama/comments/1xqh5rw/i_gave_my_desktop_pets_a_tiny_local_brain/" }, { "title": "What is the current best coding model for 12gb vram?", "score": 15, "comments": 35, "created_utc": 1794159745.165, "snippet": "Hi, I have an Intel Arc B580 and as you know it has 12gb vram, i was wondering if any of you could advise me on what is the best coding model that fits within that size. I know qwen 3.8 27b and...", "url": "https://www.reddit.com/r/ollama/comments/1xr46vw/what_is_the_current_best_coding_model_for_12gb/" } ], "newest_posts": [ { "title": "Ollama on mac mini m2, 16 gb", "score": 0, "comments": 0, "created_utc": 1794212847.482, "url": "https://www.reddit.com/r/ollama/comments/1xrmdas/ollama_on_mac_mini_m2_16_gb/" }, { "title": "Open compute network: run a node with one command and help pool 100,000 CPUs/GPUs for open-weight AI.", "score": 1, "comments": 0, "created_utc": 1794210441.982, "url": "https://www.reddit.com/r/ollama/comments/1xrlq0e/open_compute_network_run_a_node_with_one_command/" }, { "title": "Desktop Quantization workspace for Large Language Models: Load local Safetensors or Huggingface, Step-by-Step guided Conversions to GGUF, MLX, and ONNX, and Visualize Model Changes and quick publishing to huggingface with full model card.", "score": 1, "comments": 0, "created_utc": 1794191333.309, "url": "https://www.reddit.com/r/ollama/comments/1xrg1e4/desktop_quantization_workspace_for_large_language/" }, { "title": "Llama as a harness", "score": 0, "comments": 3, "created_utc": 1794183772.905, "url": "https://www.reddit.com/r/ollama/comments/1xrdhr5/llama_as_a_harness/" }, { "title": "which model is better? MOSS, Krea2 or qwen?", "score": 1, "comments": 1, "created_utc": 1794161529.6, "url": "https://www.reddit.com/r/ollama/comments/1xr4x36/which_model_is_better_moss_krea2_or_qwen/" }, { "title": "What is the current best coding model for 12gb vram?", "score": 15, "comments": 35, "created_utc": 1794159745.165, "url": "https://www.reddit.com/r/ollama/comments/1xr46vw/what_is_the_current_best_coding_model_for_12gb/" }, { "title": "What can I realistically do with local AI on a Mac mini M5 Pro (48GB)?", "score": 39, "comments": 30, "created_utc": 1794157874.209, "url": "https://www.reddit.com/r/ollama/comments/1xr3fqq/what_can_i_realistically_do_with_local_ai_on_a/" }, { "title": "OverTone 0.1 — an early preview of an open-source Mac app for Ollama", "score": 3, "comments": 1, "created_utc": 1794157254.541, "url": "https://www.reddit.com/r/ollama/comments/1xr36ly/overtone_01_an_early_preview_of_an_opensource_mac/" }, { "title": "I made Joe-ai, a free, open-source desktop app that sets up Ollama and ComfyUI for you and runs local AI tasks from one window", "score": 3, "comments": 0, "created_utc": 1794154719.906, "url": "https://www.reddit.com/r/ollama/comments/1xr25sg/i_made_joeai_a_free_opensource_desktop_app_that/" }, { "title": "profullstack invited you to run a c0mpute node", "score": 1, "comments": 0, "created_utc": 1794153439.096, "url": "https://www.reddit.com/r/ollama/comments/1xr1ndr/profullstack_invited_you_to_run_a_c0mpute_node/" } ], "words_this_week": [ { "word": "local", "titles": 48 }, { "word": "model", "titles": 22 }, { "word": "desktop", "titles": 18 }, { "word": "open", "titles": 17 }, { "word": "models", "titles": 15 }, { "word": "source", "titles": 15 }, { "word": "qwen3", "titles": 13 }, { "word": "runs", "titles": 12 }, { "word": "app", "titles": 12 }, { "word": "mac", "titles": 11 }, { "word": "free", "titles": 10 }, { "word": "llm", "titles": 9 } ], "preview": "This is a preview. Every post and comment in r/ollama, live, as JSON or RSS on the same paths a Reddit client uses, plus keyword streams to Slack, Discord, webhook or email, needs a free key: https://app.redlisten.com/?signup=1&utm_source=redlisten&utm_medium=subreddit", "docs": "https://redlisten.com/docs", "attribution": "Source: Redlisten, https://redlisten.com/r/ollama" }