LOADING DATASHEET
LOADING DATASHEET
by Ornith AI
RANKED #200 OF 316 ASSISTANTS · OVERALL #305 OF 493 RANKED · VIBE SCORE 5.8 · 101 VOICES ·
COPY BADGE pastes a README snippet with the rank SVG.
Ornith-1.5-9B-MLX-4bit on Hugging Face (text generation). 3,043 downloads. Open weights for local or hosted use.
24 mentions
4 mentions
26 weeks · 102 voices in this window
AGING WELL
The crowd is warmer now than it was at the start.
Open weights. You can use a hosted service, or download it and run it yourself, free.
Open weights: download Ornith 1.5 9B once and it's yours. No subscription, no rate limits, works offline.
9B parameters, a Q4 file is about 5.5 GB (around 18 GB in BF16)
Nvidia GeForce RTX 3060 12GB
12 GB VRAM
~$250 USEDQ4_K / Q5_K, ~35 tok/s, 8k context
Apple Mac mini M4 (16GB RAM)
16 GB UNIFIED MEMORY
~$599 NEWQ8_0 / Q6_K, ~40 tok/s, 16k context
Nvidia GeForce RTX 4090 24GB
24 GB VRAM
~$1750 USEDBF16 unquantized, ~110 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 Ornith 1.5 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 RAM) | FULL POWERNvidia GeForce RTX 4090 24GB |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~14 S | ~13 S | ~5 S |
| Summarize a documenta long report boiled down to the points that matter | ~43 S★★★★★ | ~38 S★★★★★ | ~14 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~3.8 MIN★★★★★ | ~3.3 MIN★★★★★ | ~73 S★★★★★ |
| Build a backendan API with routes, storage and tests | ~12 MIN★★★★★ | ~10 MIN★★★★★ | ~3.8 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~7.1 MIN★★★★★ | ~6.3 MIN★★★★★ | ~2.3 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 1.5 9B yet to call it. We found 101 posts but people did not say much either way.
69 POSTS · 32 COMMENTS · REDDIT · GITHUB · X · LEMMY · HACKER NEWS · DEV FORUMS
Other models the crowd has fully reviewed, starting with multimodal models like this one.
We have Q3.8 35B at home: 3x new Ornith 1.5 released
I downloaded a local 9B model. It insists it’s Claude and thinks I’m trying to jailbreak it by showing it my GPU. 💀
Ornith 1.5: 9B dense and 35B/397B MoEs
Comment in r/unsloth
Does anyone have real experience with Ornith-1.5-9B for coding
Comment in r/unsloth
Low to midrange systems (8-32 GB) vs. free cloud tiers
TokenRhythm/NeoHorse-1-9B-GGUF
Comment in r/unsloth
Ornith 1.5 + Qwen 3.8 27B hybrid runtime + DFlash speculative decoding on Metal
LFM2.5 8B-A1B measured: 0.4 GB of context cache at 32K, and why that matters more than the file size
Evaluate Ornith 1.5 and Qwen 3.6 on the dev-workflow matrix (prior rejections predate the current stack)