LOADING DATASHEET
LOADING DATASHEET
by Alibaba
RANKED #177 OF 316 ASSISTANTS · OVERALL #251 OF 493 RANKED · VIBE SCORE 6.2 · 193 VOICES ·
COPY BADGE pastes a README snippet with the rank SVG.
Qwen3.5-2B is a compact yet capable model from Alibaba's Qwen3.5 series. It features a 262K token context window, support for 201 languages, thinking/reasoning mode, and tool calling for agentic workflows. A strong choice for prototyping, f
15 mentions
7 mentions
26 weeks · 240 voices in this window
HONEYMOON FADING
Early praise is cooling off in recent weeks.
Open weights. You can use a hosted service, or download it and run it yourself, free.
Open weights: download qwen3.5 2B once and it's yours. No subscription, no rate limits, works offline.
2B parameters, a Q4 file is about 1.8 GB, full FP16 is about 4.5 GB
Mini PC with Intel N100 or AMD Ryzen 5 CPU
8 GB RAM
~$130 NEWQ4 quantization on CPU, ~15 tok/s, 8k context
NVIDIA GeForce GTX 1650 4GB
4 GB VRAM
~$75 USEDQ4 or Q8 quantization fully offloaded to GPU, ~65 tok/s, 32k context
NVIDIA GeForce RTX 3060 12GB
12 GB VRAM
~$260 USEDFull FP16 precision, native 262k long context, ~120 tok/s
The three cards above are researched picks. Search the machine you actually have — we only say yes if it should reply at a usable speed, not just load the weights and crawl.
HARDWARE PICKS & PRICES ARE RESEARCHED FROM THE LIVE WEB AND REFRESHED AUTOMATICALLY. TREAT THEM AS BALLPARK, NOT GOSPEL.
Everyday jobs on each of those rigs: how long qwen3.5 2B takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMMini PC with Intel N100 or AMD Ryzen 5 CPU | SWEET SPOTNVIDIA GeForce GTX 1650 4GB | FULL POWERNVIDIA GeForce RTX 3060 12GB |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~33 S★★★★★ | ~8 S★★★★★ | ~4 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~1.7 MIN★★★★★ | ~23 S★★★★★ | ~13 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~8.9 MIN★★★★★ | ~2.1 MIN★★★★★ | ~67 S★★★★★ |
| Build a backendan API with routes, storage and tests | ~28 MIN★★★★★ | ~6.4 MIN★★★★★ | ~3.5 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~17 MIN★★★★★ | ~3.8 MIN★★★★★ | ~2.1 MIN★★★★★ |
STARS ARE THE COMMUNITY SCORE FOR THAT KIND OF WORK, DOCKED FOR HOW SQUASHED THE WEIGHTS GET AT EACH TIER. TIMES ARE COMPUTED FROM RESEARCHED SPEEDS. BALLPARK, NOT GOSPEL.
Not enough discussion about qwen3.5 2B yet to call it. We found 193 posts but people did not say much either way.
179 POSTS · 14 COMMENTS · GITHUB · REDDIT · LEMMY · HACKER NEWS · BLUESKY
Other models the crowd has fully reviewed, starting with multimodal models like this one.
You can now Fine-tune Qwen3.5 locally! (5GB VRAM)
Qwen3.5-4B is very powerful. It executes tool calls during thinking.
Train Qwen3.5 with RL locally!
Released Soren-1-Small (Qwen3.5-2B) — 1M Context, SFT+DPO, Reasoning & Coding Focused
Decision model trained in ~2 mins on a single DGX Spark!
I gave Qwen3.5-2B control of a website and a local AI video generator...
Gemma 4 E2B and Qwen 3.5 2B on a Raspberry Pi 5 with Ollama — here's what each one is actually good for
JEV collection(zero-shot decision model) SHARE list of links HF
unsloth version 2026.3.4 has something wrong with GRPOTraining on Qwen3.5
GRM-3.2-Turf 1B
Infinity-Parser2 - Multimodal Document Parser
Need recommendations for small models with excellent reasoning. Professionals opinions preferred, this is for a data pipeline not chat.