Qwen3.8-27B-Fable-Distill

Qwen family · 28.0B params

1recorded run

198.8best tok/s

0verified

Evidence: 0 sourced runs · 1 awaiting review · 1 independent source · first recorded Aug 18, 2026. What these labels mean.

What the Qwen3.8-27B-Fable-Distill numbers mean

The fastest result on our board is 198.8 output tok/s on an RX 7900 XTX x2 at Q4_K_M with a 2048-token context. That is about 5.0 ms per generated token — 500 tokens takes roughly 2.5 seconds. Prompt processing on the same record runs at 29076.0 tok/s, so a 2,000-token prompt is read in about 0.1 seconds.

How much VRAM does Qwen3.8-27B-Fable-Distill need?

Qwen3.8-27B-Fable-Distill has 28.0B 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.

Quantisation	Estimated VRAM	Smallest card that fits
Q4_K_M (4-bit)	18.9 GB	24 GB
Q8_0 (8-bit)	35.0 GB	48 GB
FP16 (16-bit)	65.2 GB	80 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)

RX 7900 XTX x2198.8

Models with a similar footprint

Model	Params	Q4_K_M weights
Bonsai-27B	28B	15.8 GB
Godoter-27B	28B	15.8 GB
Huihui-Qwen3.8-27B-abliterated	28B	15.8 GB
Qwen3.5-27B	28B	15.8 GB
Qwen3.6-27B	28B	15.8 GB
Qwen3.6-27B-i1	28B	15.8 GB

Ranked by distance from Qwen3.8-27B-Fable-Distill's parameter count. Full benchmark board.

All benchmarks Methodology

GPU	Model	Quant	Backend	Ctx	tok/s	prompt tok/s	VRAM GB	Source
RX 7900 XTX x2 · 24 GB	Qwen3.8-27B-Fable-Distill	Q4_K_M	llama.cpp —	2048	198.8 …	29076.0	—	src