Ornith 1.5 9B

Model profile
Model	Size	Approximate size
Ornith 1.5 9BModel source: derived262,144 tokens max native context	9B	5.4 GB4-bit quantization

Compatible hardware Estimated speeds, not benchmark results: calculated from memory bandwidth and model size. Real results can differ significantly because there is no precise formula for deriving LLM generation speed from hardware specifications alone.
Hardware	Memory	Bandwidth	vLLM	Estimated generation
DDR4 16GB Computer	16 GBRAM	51.2 GB/s	no	5 tok/s4-bit quantization
DDR5 16GB Computer	16 GBRAM	89.6 GB/s	no	9 tok/s4-bit quantization
DDR5 32GB Computer	32 GBRAM	89.6 GB/s	no	9 tok/s4-bit quantization
Mac mini M4	24 GBUnified RAM	120 GB/s	no	12 tok/s4-bit quantization
RTX 2000 Ada	16 GBGPU VRAM	224 GB/s	yes	22 tok/s4-bit quantization
Radeon 8060S 96GB	96 GBUnified RAM	256 GB/s	yes	25 tok/s4-bit quantization
M4 Pro	24 GBUnified RAM	273 GB/s	no	27 tok/s4-bit quantization
DGX Spark	128 GBUnified RAM	273 GB/s	yes	27 tok/s4-bit quantization
RTX 4060 Ti 16GB	16 GBGPU VRAM	288 GB/s	yes	28 tok/s4-bit quantization
M5 Pro	64 GBUnified RAM	307 GB/s	no	30 tok/s4-bit quantization
RTX 3060 12GB	12 GBGPU VRAM	360 GB/s	yes	35 tok/s4-bit quantization
RTX 5060 Ti 16GB	16 GBGPU VRAM	448 GB/s	yes	44 tok/s4-bit quantization
M5 Max	128 GBUnified RAM	614 GB/s	no	59 tok/s4-bit quantization
M3 Ultra	96 GBUnified RAM	819 GB/s	no	78 tok/s4-bit quantization
RTX 5080	16 GBGPU VRAM	960 GB/s	yes	91 tok/s4-bit quantization
RTX 3090 Ti	24 GBGPU VRAM	1008 GB/s	yes	95 tok/s4-bit quantization
M5 Ultra	256 GBUnified RAM	1200 GB/s	no	111 tok/s4-bit quantization
RTX 5090	32 GBGPU VRAM	1792 GB/s	yes	160 tok/s4-bit quantization
RTX PRO 6000	96 GBGPU VRAM	1792 GB/s	yes	160 tok/s4-bit quantization
DGX H200	1128 GBGPU HBM3e	4800 GB/s	yes	357 tok/s4-bit quantization
DGX Station	748 GBCoherent Memory	7100 GB/s	yes	468 tok/s4-bit quantization
ET900N G3	748 GBCoherent Memory	7100 GB/s	yes	468 tok/s4-bit quantization
DGX B200	1440 GBGPU HBM3e	8000 GB/s	yes	505 tok/s4-bit quantization
GB200 NVL72	13400 GBGPU HBM3e	8000 GB/s	yes	505 tok/s4-bit quantization
GB300 NVL72	20000 GBGPU HBM3e	8000 GB/s	yes	505 tok/s4-bit quantization

6 videos found Showing 1-6

Video No place like localhost 2026-09-14

LLM Battle 8

Coding competition evaluating Ornith-1.5-9B, Spark-X2.5-4B, and IBM's Granite-4.2-8B on automating mundane, repetitive tasks using OpenCode GPU sidebar plugin and VoxCtrl.

Testing Ornith 1.5 9B Granite 4.2 8B Spark X2.5 4B

Video Unbiased Bob 2026-09-01

12gb vram config

Benchmark compares Qwen 3.5 9B, Ornith 1.5 9B, Defiant Fable, Heretic Qwen, and Hauhau Qwen on 12GB GPUs like 3060, 4070, or 1080 Ti.

Testing Qwen 3.5 9B Ornith 1.5 9B

Video KGP Talkie 2026-08-29

IBM Granite 4.2 vs Qwen 3.8 27B vs Gemma 4 - Local LLM Benchmark

Benchmark IBM Granite 4.2, Qwen 3.8 27B, Gemma 4, and Ornith 1.5 on an RTX 5090, measuring KV cache cost, usable context, generation speed, coding, math, and tool calling via Python tests.

Testing Gemma 4 31B Qwen 3.8 27B Gemma 4 12B Ornith 1.5 9B Granite 4.2 8B Granite 4.2 30B RTX 5090

Video KGP Talkie 2026-08-28

Ornith 1.5 35B vs Qwen 3.8 27B vs Gemma 4 - Local LLM Benchmark

Benchmarking Ornith 1.5 9B and 35B, Qwen 3.8 27B, and Gemma 4 on an RTX 5090 using llama-server with 4-bit weights and FP16 KV cache via code-graded metrics.

Testing Gemma 4 26B Qwen 3.8 27B Ornith 1.5 9B Ornith 1.5 35B RTX 5090