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Artificial Intelligence
Releases October 20, 2026 3 minutes

Releases

Releases

DeepSeek V4.1 Flash, on your server
DeepSeek V4.1 Flash, on your server. The weights download under the MIT license, and the model reads text and images on your own server. Hugging Face model card. MIT weights, 8 bits. Your own server. nothing leaves it. Text and images. read locally. Memory needed?. not on the card. Hugging Face model card → Your own server (downloads to). Your own server → Text and images (reads). Your own server → Memory needed? (depends on).

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DeepSeek V4.1 Flash 1017 (DeepSeek)

27,737 downloads, 1,876 likes on Hugging Face. MIT license.

What it's for Running a fast 763 billion parameter model on your own server that also reads images, without sending anything to DeepSeek. The weights (the model's file) download in a lighter 8 bit version, according to their tags, and the MIT license asks almost nothing of you. DeepSeek calls it a minor update to the version covered in issue 004: reasoning, coding, agent tasks and images improve (42.6 against 36.8 on the HLE test without tools). Uploaded to Hugging Face on October 17, it comes out the week when an order from the US Department of Homeland Security, published in the Federal Register on October 20, removes DeepSeek products, and other companies' products built with its technology, from civilian federal agencies.

The limit The model card does not state the memory needed, and offers no smaller version.

huggingface.co/​deepseek-ai/​…

LFM2.5-24B-A2B (Liquid AI)

Liquid AI's post: 288 points and 81 comments on Hacker News. GGUF version (the format read by llama.cpp, LM Studio and Ollama): 132,848 downloads on Hugging Face.

What it's for Running a fast agent on your own device, without a data center graphics card. The model has 24 billion parameters (the settings it has learned), but only 2 billion work on each word: each time, it wakes up only a few specialists among its own (this is called a mixture of experts). In issue 007, Liquid AI released d1, its decision models for devices: the lab is sticking to the same line, device first.

The limit Publisher's benchmarks and speeds only, no independent measurement. No standard license: a license specific to LFM models, whose commercial terms the post does not summarize.

liquid.ai/​blog/​lfm2-5-24b-a2b

Nemotron 3.5 Super VL (NVIDIA)

11,459 downloads, 186 likes for the NVFP4 version on Hugging Face.

What it's for Handing an agent tasks that mix text, images and video: understanding a document, searching, using tools, coding. It is an open model with 120 billion parameters, 12 billion of which work on each word. Its weights are published in several formats, including NVFP4, a lighter 4 bit version, under the OpenMDW 1.1 license, which allows commercial use.

The limit The model card states neither Mac support (Linux only) nor the total memory needed.

huggingface.co/​nvidia/​…

PARAMETERS IN TOTAL, AND AT WORK ON EACH WORD
LFM2.5-24B-A2B, in total
24 billion
LFM2.5-24B-A2B, on each word
2 billion
Nemotron 3.5 Super VL, in total
120 billion
Nemotron 3.5 Super VL, on each word
12 billion

Sphinx

On Hacker News: 252 points, 89 comments.

What it's for Only shipping code you have understood. Before you push what your AI wrote, a hook (a small check that fires at that moment) quizzes you on that code. In issue 008, our hook refused a change; Sphinx questions the person.

The limit Sphinx has no service of its own: the changed code goes to the provider of the reviewer model you choose (.env files and keys are left out).

sphinx-six-theta.vercel.app

Llmspeed

On Hacker News: 329 points, 86 comments.

What it's for Getting a feel, before you buy a machine, for how fast a local model would answer on it. Useful in the week RTX Spark laptops reach the shops (see In brief).

The limit These are not measurements made by the site: some come from community benchmarks, the rest is extrapolated; nothing on the quality of the answers.

llmspeed.dev

Exa 3.0

Announced by Exa on October 19.

What it's for Giving your agent a search engine built for it, which serves it the useful passages of pages. In this version, Exa promises richer data at no extra charge, and a cheaper Lite plan. Useful as websites close their doors to agents (see Worth reading).

The limit The promises are the publisher's, with no independent benchmark. No version to host yourself: every query goes through Exa's API.

exa.ai/​blog/​exa-3

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