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Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated-i1

Qwen family · 9.0B params

1recorded run
90.2best tok/s
0verified

Evidence: 0 sourced runs · 1 awaiting review · 1 independent source · first recorded Aug 28, 2026. What these labels mean.

What the Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated-i1 numbers mean

The fastest result on our board is 90.2 output tok/s on an RTX 3060 at IQ4_XS with a 65536-token context. That is about 11.1 ms per generated token — 500 tokens takes roughly 5.5 seconds. Prompt processing on the same record runs at 611.2 tok/s, so a 2,000-token prompt is read in about 3.3 seconds.

How much VRAM does Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated-i1 need?

Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated-i1 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 306090.2

Models with a similar footprint

ModelParamsQ4_K_M weights
Carnice-9b9B5.1 GB
DeepSeek-V4-Pro-Qwen3.5-9B-MTP9B5.1 GB
NVIDIA-Nemotron-Nano-9B-v29B5.1 GB
Ornith-1.0-9B9B5.1 GB
Qwen3-VL-8B-Instruct9B5.1 GB
Qwen3.5-9B-MTP9B5.1 GB

Ranked by distance from Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated-i1's parameter count. Full benchmark board.

All benchmarks Methodology

GPUModelQuantBackendCtx tok/sprompt tok/sVRAM GBSource
RTX 3060 · 12 GBHuihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated-i1IQ4_XSllama.cpp —6553690.2 …611.2—src
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