Ornith-1.5-9B-OBLITERATED
ornith-aimittext

Ornith-1.5-9B-OBLITERATED

Updated Oct 1, 2026
Parameters
9.7B
Context
262,144
License
mit
Q4 GGUF
5.63 GB
Updated
Oct 1, 2026

Q4 GGUF download: mradermacher/Cyber-Ornith-1.5-9B-OBLITERATED-i1-GGUF - 5.63 GB on disk, read 2026-10-01. VRAM figures above are estimates; this is the actual file size.

Will it run on your hardware?

Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest

Runs on your 24 GB - best at FP16
4 of 4 quantizations fit Ornith-1.5-9B-OBLITERATED with real runtime overhead.
Q4_K_M
6 GB
Q5_K_M
7 GB
Q8_0
10 GB
FP16
19 GB
fits tight too big

Need an exact figure for your context length? Use the VRAM calculator.

Run it locally

Copy-paste - running in under a minute

vLLMOpenAI-compatible API
vllm serve OBLITERATUS/Ornith-1.5-9B-OBLITERATED

New to this? Start with Ollama · serve to many users with vLLM.

Deep dive

Notes, sources, and the full write-up

Ornith-1.5-9B-OBLITERATED is a 9.7B-parameter mit model from OBLITERATUS. At Q4_K_M it needs roughly 6 GB of VRAM, placing it in the 8–12 GB GPU hardware tier.

Popularity

Ornith-1.5-9B-OBLITERATED has 468,698 downloads in the last month on HuggingFace and 76 likes.

Frequently asked

Quick answers to common questions

How much VRAM does Ornith-1.5-9B-OBLITERATED need?

Ornith-1.5-9B-OBLITERATED with 9.7B parameters needs approximately 6 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.

Is Ornith-1.5-9B-OBLITERATED better than other ornith-ai models?

Ornith-1.5-9B-OBLITERATED has 9.7B parameters with 262,144 context - a strong choice for general use.

What license is Ornith-1.5-9B-OBLITERATED under?

Ornith-1.5-9B-OBLITERATED is released under the mit license, making it suitable for most commercial and personal projects.

What hardware runs Ornith-1.5-9B-OBLITERATED well?

With 9.7B parameters, Ornith-1.5-9B-OBLITERATED requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.

What is the best quantization for Ornith-1.5-9B-OBLITERATED?

Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~7 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.

How long can Ornith-1.5-9B-OBLITERATED's context window handle?

Ornith-1.5-9B-OBLITERATED supports a 262,144-token context window - enough for very long documents, codebases, or multi-turn conversations. Real-world usable context may vary by implementation.

What models compete with Ornith-1.5-9B-OBLITERATED?

Ornith-1.5-9B-OBLITERATED competes with other models in its class. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.

Nearby options

Similar models and compatible hardware by spec