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Ternary Bonsai 2 27B · PTQ1_0

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NVIDIA RTX 308010GBllama.cpp prism-b10735-842b188L0 Self-reported

This page aggregates 1 real-world runs of Ternary Bonsai 2 27B (PTQ1_0) on NVIDIA RTX 3080 with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

52.18 tok/s

Decode

Decode speed

1,210.6 tok/s

Prefill

Prefill speed

— s

TTFT

Time to first token

7.03 GB

VRAM

VRAM usage

L0 Self-reported

1

Measured runs

1

Independent sources

GitHub

Source platforms

5 days ago

Last verified

Performance

  1. llama.cpp · PTQ1_0 (current)Decode 52.18 · Prefill 1210.6 ·

Core figures

Decode (avg)
52.18 tok/s
Prefill (avg)
1,210.6 tok/s
TTFT (avg)
— s
VRAM (avg)
7.03 GB
MTP acceptance rate
—
TTFB
— GB
Power draw
— W

Configuration

Member-level fields are taken from the most recent run

Model
Ternary Bonsai 2 27B
Quantization
PTQ1_0
Framework
llama.cpp
Version
prism-b10735-842b188
Context length
32768 tokens
Batch size
1
GPU layers
99
Flash Attention
On

Hardware

Nominal and measured figures are shown side by side; whether it runs is the reader's call

GPU
NVIDIA RTX 3080
Nominal VRAM
10 GB
Measured VRAM (avg)
7.03 GB
OS
Ubuntu 24.04
Driver
595.84
CUDA
12.8

Get started

Original model resources

Base model resources may not match this quantization. Use the verified deployment weights above when available.

Startup command

Command from the latest benchmark run
-ngl 99 -fa on

Sources & evidence

1 measured records in total, each traceable to its original source

  1. L0 Self-reportedGitHubOriginal link Verified on 2026-09-28

    prism-b10735-842b188 · Ubuntu 24.04 · CUDA 12.8 · 32768 ctx

    52.18 tok/s

    Decode

    1,210.6 tok/s

    Prefill

    — s

    TTFT

    7.03 GB

    VRAM

    —

    MTP

    — W

    Power draw

    | pack | size | pp512 | tg128 | | PTQ1_0 (1.75 bpw) | 5.53 GiB | 1210.6 ± 29.8 | 52.18 ± 0.05 |