LOADING DATASHEET
LOADING DATASHEET
by Ornith Ai
RANKED #163 OF 316 ASSISTANTS · OVERALL #219 OF 493 RANKED · VIBE SCORE 6.6 · 617 VOICES ·
COPY BADGE pastes a README snippet with the rank SVG.
Ornith-1.0-9B-abliterated-NVFP4 on Hugging Face (image text to text). 3,531 downloads. Open weights for local or hosted use.
3 mentions
5 mentions
26 weeks · 617 voices in this window
TOO QUIET
Not enough weekly voices to call a trend yet.
Open weights. You can use a hosted service, or download it and run it yourself, free.
Open weights: download Ornith 1.0 9B once and it's yours. No subscription, no rate limits, works offline.
9B parameters, a Q4_K_M GGUF is about 5.8 GB, full BF16 is ~18 GB
Nvidia GeForce RTX 3060 12GB
12 GB VRAM
~$220 USEDQ4_K_M quant with full GPU offload up to 32k context
Apple Mac mini (M4, 16GB)
16 GB UNIFIED MEMORY
~$599 NEWQ6_K quant in LM Studio/MLX with comfortable 32k context
Nvidia GeForce RTX 4090 24GB
24 GB VRAM
~$1600 USEDFull BF16 precision or Q8_0 quant with extended 64k+ 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 Ornith 1.0 9B takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMNvidia GeForce RTX 3060 12GB | SWEET SPOTApple Mac mini (M4, 16GB) | FULL POWERNvidia GeForce RTX 4090 24GB |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~11 S★★★★★ | ~14 S★★★★★ | ~6 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~33 S★★★★★ | ~43 S★★★★★ | ~18 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~3 MIN★★★★★ | ~3.8 MIN★★★★★ | ~1.6 MIN★★★★★ |
| Build a backendan API with routes, storage and tests | ~9.3 MIN★★★★★ | ~12 MIN★★★★★ | ~4.9 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~5.6 MIN★★★★★ | ~7.1 MIN★★★★★ | ~2.9 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 Ornith 1.0 9B yet to call it. We found 617 posts but people did not say much either way.
51 POSTS · 566 COMMENTS · REDDIT · HACKER NEWS · GITHUB · DEV.TO · LEMMY
Checked picks first: tags say why you would switch, stars say how fully each one stands in for Ornith 1.0 9B.
Ornith Unsloth GGUFs out now!
I built a weird, low-power llama.cpp server using an Intel N100 + RTX 5060Ti
Liked Muse, so I cut the 30B model in half by width, distilled it back, and it does 57 of 60 tool tasks its parent does 60 of
Is Ornith 1.0 9B Reliable Enough for Complex Backend Development?
Comment in r/singularity
Comment in r/singularity
Comment in r/singularity
Small tool to batch benchmark local models!
Comment in r/singularity
chore(deps): maintenance F-98/F-123 — llama.cpp b10590 + paquets Python latest
Ornith 1.5 (Qwen finetunes for coding) released 9b, 35b-a3b, and 397b-a17b
Evaluate Ornith 1.5 and Qwen 3.6 on the dev-workflow matrix (prior rejections predate the current stack)