prism-ml/Ternary-Bonsai-2-9B-gguf

image-text-to-text model by prism-ml

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Prism ML Website  |  Demo & Examples  |  Discord A 9B-class vision-language model with ternary transformer weights, for llama.cpp (CUDA, Metal, CPU). Bits/weight is file size over the 8.95B language-model parameters, so it includes the F32 tensors and metadata. The three language-model packs hold the same ternary weights; they differ only in storage layout and kernel speed. The MTP file is the PQ20 model plus one extra draft layer, so you load it instead of the plain PQ20, not alongside it. The ternary kernels live in the PrismML-Eng/llama.cpp fork (branch prism). It runs every file here, including MTP and DFlash2. Upstream llama.cpp runs only Q20 (recent master, which includes the Hadamard activation runtime); it rejects PQ20 and PTQ10 as unknown types. Vision projector: use the Q80 mmproj. With the current fork build, the BF16 mmproj can crash llama-server when several image requests run at once; Q80 is not affected and…

prism-ml/Ternary-Bonsai-2-9B-gguf on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. Bonsai 2 Ternary 9B: GGUF
  2. Highlights
  3. Model Overview
  4. Files
  5. Quickstart
  6. Use the PrismML llama.cpp build
  7. Text
  8. Image + text
  9. OpenAI-compatible server
  10. Best Practices
  11. Generation Parameters
  12. Output Length

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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

prism-ml/Ternary-Bonsai-2-9B-gguf is a image-text-to-text model repository published by prism-ml on Hugging Face. The source reports the llama.cpp library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
image-text-to-text
Library
llama.cpp
Recent downloads (30 days)
104,143
Cumulative likes
121
Hugging Face trending score
84
Reported safetensors parameters
Not reported
Architecture
Not reported
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-09-23T06:12:31.000Z
Last modified
2026-10-15T16:04:11.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: Qwen/Qwen3.5-9B

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Model card and usage instructions

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-10-23T06:44:58.174Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

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