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Ternary Bonsai 27B

PrismMLReleased Jul 14, 2026Open weights · Apache 2.0ternary-bonsai-27b

Context
262K tokens
Input
text, image, video

Read from the hosts' published offers and OpenRouter, spec sheet from PrismML

Run it yourself

open weights, Apache 2.0 · fits 6 of the 6 workstations in our guideSelf-host guide ›
Parameters
27B
dense
Memory needed
16 GB
in INT4 · 32 GB in INT8
Smallest cloud setup
RTX 3090
24 GB · $0.17/h, about $124 a month
QuantizationMemorySmallest cloud GPUQuality
INT4 (Q4)16 GBRTX 3090 · $0.17/hsmallest footprint, minor quality loss
INT8 (Q8)32 GBA100 · $1.19/hnear-lossless
FP16 (full)65 GBA100 · $1.19/hreference quality

At home: in INT4 it fits a RTX 5090 (32 GB) + host PC (plus a host PC), about $3,500 once, or $0.1332/h over 3 years, electricity aside.

Memory ≈ parameters × bytes per parameter × 1.2 · cloud price: on-demand rate, running 24/7 · builds: GGUF, AWQ, MLX, GPTQ, Ollama · break-even calculator

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