LOADING DATASHEET
LOADING DATASHEET
by Alibaba
RANKED #216 OF 316 ASSISTANTS · OVERALL #328 OF 493 RANKED · VIBE SCORE 5.7 · 89 VOICES ·
COPY BADGE pastes a README snippet with the rank SVG.
Qwen2.5-3B-Instruct-unsloth-bnb-4bit on Hugging Face (text generation). 123,583 downloads. Open weights for local or hosted use.
8 mentions
2 mentions
26 weeks · 101 voices in this window
HOLDING UP
Recent vibe is steady. No clear fade in the crowd.
Open weights. You can use a hosted service, or download it and run it yourself, free.
Open weights: download Qwen2.5 3B Instruct once and it's yours. No subscription, no rate limits, works offline.
3.09B parameters, a Q4_K_M file is about 1.93 GB, and unquantized FP16 is about 6.2 GB
Mini PC with AMD Ryzen 7 5700U or Apple M1 Mac Mini (8GB)
8 GB RAM
~$250 USEDQ4_K_M, ~18 tok/s, 8k context
Nvidia GeForce RTX 3060 12GB
12 GB VRAM
~$280 USEDQ8_0 or FP16, fully GPU-offloaded, ~75 tok/s, 32k context
Nvidia GeForce RTX 4070 12GB
12 GB VRAM
~$530 NEWFull FP16 precision, ultra-fast generation and massive context caching, ~120 tok/s, 32k context
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 Qwen2.5 3B Instruct takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMMini PC with AMD Ryzen 7 5700U or Apple M1 Mac Mini (8GB) | SWEET SPOTNvidia GeForce RTX 3060 12GB | FULL POWERNvidia GeForce RTX 4070 12GB |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~28 S★★★★★ | ~7 S★★★★★ | ~4 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~83 S★★★★★ | ~20 S★★★★★ | ~13 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~7.4 MIN★★★★★ | ~1.8 MIN★★★★★ | ~67 S★★★★★ |
| Build a backendan API with routes, storage and tests | ~23 MIN★★★★★ | ~5.6 MIN★★★★★ | ~3.5 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~14 MIN★★★★★ | ~3.3 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 Qwen2.5 3B Instruct yet to call it. We found 90 posts but people did not say much either way.
87 POSTS · 3 COMMENTS · REDDIT · GITHUB · DEV FORUMS
Other models the crowd has fully reviewed, starting with text models like this one.
How to improve my RAG?
Trying to optimize a fully local RAG system (Ollama + Qdrant) but response time is still slow any advice?
I measured the actual power cost of speculative decoding on my RX 6650 XT and it made things worse
I measured the actual power cost of speculative decoding on my RX 6650 XT and it made things worse
So many models...confused how to pick the right one. Need one to help fix English grammar and text.
Comment in r/StableDiffusion
I measured the actual power cost of speculative decoding on my RX 6650 XT and it made things worse
Please, help me with vector storage in SillyTavern
KV Graft Steering: Concept Transfer via KV States
Add quantized Qwen GGUF C0 and paired H4-C smoke diagnostics
🚀 Stop using 70B models for Financial Math: Meet FinCode-Reasoning-3B (Execution-Verified, 0% Math Hallucination, Runs on CPU)
data(p3): real T4 vLLM/AWQ serving + VRAM + quantization-fidelity numbers