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Ornith-1.0-9B

Qwen family · 9.0B params

2recorded runs
52.5best tok/s
2verified

Evidence: 2 sourced runs · 1 independent source · first recorded Aug 4, 2026 · last recorded Aug 18, 2026. What these labels mean.

What the Ornith-1.0-9B numbers mean

The fastest verified result on our board is 52.5 output tok/s on an RTX 3060 at Q4_K_M with a 32768-token context. That is about 19.1 ms per generated token — 500 tokens takes roughly 9.5 seconds. Prompt processing on the same record runs at 1457.6 tok/s, so a 2,000-token prompt is read in about 1.4 seconds. Peak VRAM was measured at 5.7 GB. Across the 2 records we hold for this model the range is 31.2–52.5 tok/s on 2 GPUs, because quantisation, context length and the engine build all move the number.

How much VRAM does Ornith-1.0-9B need?

Ornith-1.0-9B has 9.0B parameters. These estimates use the same formula as the VRAM calculator: weights, plus about 15% for a moderate-context KV cache and runtime overhead, plus a small engine floor.

QuantisationEstimated VRAMSmallest card that fits
Q4_K_M (4-bit)6.6 GB8 GB
Q8_0 (8-bit)11.8 GB16 GB
FP16 (16-bit)21.5 GB32 GB

Long contexts and large batches raise the real number — read the smallest card as "possible with a reduced context". Measured throughput is on the benchmark board.

Fastest GPUs for this model (best tok/s)
  1. RTX 306052.5
  2. Radeon AI Pro R9700 x331.2

Models with a similar footprint

ModelParamsQ4_K_M weights
Carnice-9b9B5.1 GB
DeepSeek-V4-Pro-Qwen3.5-9B-MTP9B5.1 GB
Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated-i19B5.1 GB
NVIDIA-Nemotron-Nano-9B-v29B5.1 GB
Qwen3-VL-8B-Instruct9B5.1 GB
Qwen3.5-9B-MTP9B5.1 GB

Ranked by distance from Ornith-1.0-9B's parameter count. Full benchmark board.

All benchmarks Methodology

GPUModelQuantBackendCtx tok/sprompt tok/sVRAM GBSource
RTX 3060 · 12 GBOrnith-1.0-9BQ4_K_Mllama.cpp b104433276852.5 ✓1457.65.7src
Radeon AI Pro R9700 x3 · 32 GBOrnith-1.0-9BBF16llama.cpp b1010778731.2 ✓1631.625.8src
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