Model Detail
Ternary-Bonsai-2-9B-gguf
▲ 12.5%Ternary-Bonsai-2-9B-gguf is a multimodal model with 9B parameters released by prism-ml. The model is registered under the image-text-to-text pipeline tag on Hugging Face, distributed under the permissive apache-2.0 license.
Ternary-Bonsai-2-9B-gguf ships with 9B parameters, distributed as a quantized weight variant for lower-VRAM inference. The apache-2.0 license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.
Downloads of Ternary-Bonsai-2-9B-gguf have moved +12.5% over the past 24 hours. That is a slight downtrend, consistent with normal cooling as newer models compete for the same workloads. These numbers are signal, not guarantee — week-over-week download counts on Hugging Face also reflect mirror traffic, CI scrapes, and one-off benchmarking runs.
Ternary-Bonsai-2-9B-gguf is best fit for mixed text-and-image reasoning tasks such as document understanding. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.
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Noise-shaped Sampling and Annealing for Scalable On-the-edge Training of Binary and Ternary AI Models
arXiv:2610.22621v1 Announce Type: new Abstract: The training loss of binary and ternary neural networks, expanded as a multilinear polynomial over the discrete weights, is structurally equivalent to the energy of a hierarchical high-order Ising model. We exploit this equivalence to apply Ising solve
RoleQ: Role-Aligned Scales for Converting Language Models to Ternary
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TACO: Ternary Absolute-max Column-wise One-sparse Optimizer for LLM Fine-Tuning
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