OLMo 2 32B
Earlier fully open model. Brilliant and honest, but forgets what you said a few pages back.
Directory
44 models from 15 makers. Sorted by trust score.
Every model below runs on your own computer. Click a name for its license, sources, and setup steps.
| Model | Maker | Trust | Quality | RAM needed | Business | Sign-up |
|---|---|---|---|---|---|---|
| Olmo 3 7B | Ai2 | 100 | Good | 8 GB | Yes | No |
| Olmo 3.1 32B | Ai2 | 100 | Very strong | 26 GB | Yes | No |
| OLMo 2 32B | Ai2 | 100 | Very strong | 26 GB | Yes | No |
| SmolLM3 3B | Hugging Face | 100 | Basic | 5 GB | Yes | No |
| GPT-OSS 20B | OpenAI | 84 | Very strong | 17 GB | Yes | No |
| GPT-OSS 120B | OpenAI | 84 | Top home tier | 87 GB | Yes | No |
| Qwen3.5 9B | Alibaba Qwen | 84 | Good | 9 GB | Yes | No |
| Qwen3.8 27B | Alibaba Qwen | 84 | Very strong | 23 GB | Yes | No |
| Qwen3 4B 2507 | Alibaba Qwen | 84 | Good | 5 GB | Yes | No |
| Qwen3 8B | Alibaba Qwen | 84 | Good | 8 GB | Yes | No |
| Qwen3 14B | Alibaba Qwen | 84 | Strong | 13 GB | Yes | No |
| Qwen3 30B-A3B 2507 | Alibaba Qwen | 84 | Very strong | 24 GB | Yes | No |
| Qwen3 32B | Alibaba Qwen | 84 | Very strong | 26 GB | Yes | No |
| Qwen3 Coder 30B | Alibaba Qwen | 84 | Very strong | 24 GB | Yes | No |
| Qwen2.5 VL 7B | Alibaba Qwen | 84 | Good | 8 GB | Yes | No |
| Gemma 4 12B | 84 | Strong | 11 GB | Yes | No | |
| Gemma 4 E4B | 84 | Good | 8 GB | Yes | No | |
| DeepSeek R1 Distill 7B | DeepSeek | 84 | Good | 8 GB | Yes | No |
| DeepSeek R1 Distill 14B | DeepSeek | 84 | Strong | 13 GB | Yes | No |
| DeepSeek R1 0528 8B | DeepSeek | 84 | Good | 8 GB | Yes | No |
| Phi-4 | Microsoft | 84 | Strong | 13 GB | Yes | No |
| Phi-4 mini | Microsoft | 84 | Basic | 5 GB | Yes | No |
| Mistral 7B v0.3 | Mistral AI | 84 | Good | 8 GB | Yes | No |
| Mistral Nemo 12B | Mistral AI | 84 | Strong | 11 GB | Yes | No |
| Mistral Small 3.2 | Mistral AI | 84 | Very strong | 20 GB | Yes | No |
| Magistral Small | Mistral AI | 84 | Very strong | 19 GB | Yes | No |
| Devstral Small | Mistral AI | 84 | Very strong | 19 GB | Yes | No |
| Granite 3.3 2B | IBM | 84 | Basic | 4 GB | Yes | No |
| Granite 3.3 8B | IBM | 84 | Good | 8 GB | Yes | No |
| Granite 4.0 H Tiny | IBM | 84 | Good | 8 GB | Yes | No |
| Granite 4.0 H Small | IBM | 84 | Very strong | 26 GB | Yes | No |
| GLM-4.5 Air | Z.ai | 84 | Top home tier | 82 GB | Yes | No |
| Hermes 3 8B | Nous Research | 64 | Good | 8 GB | With limits | No |
| Nemotron Nano 9B v2 | NVIDIA | 64 | Good | 9 GB | With limits | No |
| LFM2 1.2B | Liquid AI | 64 | Basic | 3 GB | With limits | No |
| Llama 3.1 8B | Meta | 58 | Good | 8 GB | With limits | Yes |
| Llama 3.2 3B | Meta | 58 | Basic | 5 GB | With limits | Yes |
| Llama 3.3 70B | Meta | 58 | Top home tier | 53 GB | With limits | Yes |
| Llama 4 Scout | Meta | 58 | Top home tier | 81 GB | With limits | Yes |
| Gemma 3 4B | 58 | Good | 6 GB | With limits | Yes | |
| Gemma 3 12B | 58 | Strong | 11 GB | With limits | Yes | |
| Gemma 3 27B | 58 | Very strong | 22 GB | With limits | Yes | |
| Gemma 3n E4B | 58 | Good | 8 GB | With limits | Yes | |
| Command R7B | Cohere | 38 | Good | 8 GB | No | Yes |
Trust and quality use our published method. RAM is an estimate for a 4-bit file.
Earlier fully open model. Brilliant and honest, but forgets what you said a few pages back.
Fully open chat model. Data and code are public. Fits on the laptop you already own, if it has 8 GB.
Largest fully open model here. Data and code are public. Nothing up its sleeve.
Show it a screenshot and it will tell you what is going on. Fits in 8 GB.
The 8B's older sibling. Smarter, and wants about 13 GB.
Big on paper, quick in practice. Only part of it works on each word.
A careful thinker. Wants about 26 GB and a little patience.
Tiny, quick, and fits in 8 GB. The pocket knife of this list.
Thinks step by step on a normal laptop. Fits in 8 GB.
Writes code so you do not have to. You still have to read it.
Keeps a lot of your chat in mind at once. Fits a 16 GB machine.
The all-rounder for a 32 GB machine. Does a bit of everything, complains about nothing.
Cites its sources like a good student. Not for business use, sadly.
A newer small thinker. MIT license, so legal can relax.
Thinks out loud before it answers. Get comfy.
Shows its work, like your math teacher always wanted. Fits in 8 GB.
A good writer that can also look at pictures. Wants about 11 GB.
Strong writer for a 32 GB machine. Google's rules still apply.
Small, reads images, and fits in 8 GB. Google's rules apply.
Built for phones. Next to it, your laptop will feel like a supercomputer.
Google's open model with an Apache license. Fits a 16 GB machine.
Small and efficient. Your laptop will barely notice it is there.
Small, fully open, training data mix is public. Also has the cutest name on this list.
Tiny business helper. About 4 GB, which is basically nothing.
IBM's business model. It wears a tie to the chat.
Bigger IBM model for long documents. Wants about 26 GB.
Light on memory, even with long documents. About 8 GB.
Very small. Runs on the laptop you were about to recycle.
The one everybody has heard of. Free to use, but Meta writes the rules, so read them.
Small enough for a modest laptop. Big enough to write your out-of-office reply.
Smart, but wants about 53 GB of memory. Not a laptop guest.
Reads images too. Wants about 81 GB, so bring a big machine and snacks.
Good at math, short memory. Keep your chats short and sweet.
Small model, long memory window. Fits in 8 GB.
Fixes bugs across many files. Your code reviewer will still have notes.
Mistral's step-by-step thinker. Apache license, no drama.
An oldie but a goodie. Light, well known, Apache license.
Speaks many languages. Fits a 16 GB machine.
Chats and reads images. Wants about 20 GB.
You can switch its thinking on or off. If only people came with that button.
Built on Llama 3.1, so Meta's rules come along for the ride.
Hard reasoning and agent tasks on a high-end workstation. Plan on a 128 GB machine. Your laptop just flinched.
OpenAI, but you get to keep it at home. Plan on about 17 GB of memory.
Strong agent and coding work. It is called Air and it wants a 128 GB machine. Someone in naming has jokes.