Explore PrismML: Ternary Bonsai 2 27B
Prism-ml: PrismML: Ternary Bonsai 2 27B
Use Cases
Here are a few ways teams apply PrismML: Ternary Bonsai 2 27B in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.
Meeting transcription & notes
Multilingual audio translation
Audio understanding
Reliable drafting
Specs
Overview
prism-ml
prism-ml/ternary-bonsai-2-27b
2026-09-18
Modalities & context
text · image
text
262,144 tokens
Parameters & defaults
Supported parameters: frequency_penalty, include_reasoning, logprobs, max_tokens, presence_penalty, reasoning, reasoning_effort, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
Defaults: temperature 1, top_p 0.95
Benchmark tests: PrismML: Ternary Bonsai 2 27B
We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.
Ready to try PrismML: Ternary Bonsai 2 27B?
To “upend” means to completely disrupt, overturn, or drastically change the established order or structure of something. It implies a significant shift or alteration that can potentially have far-reaching consequences. When something is upended, it is turned upside down or transformed in a way that challenges conventional norms or expectations. The term often carries a sense of innovation, transformation, and sometimes even a hint of upheaval, indicating that the changes are not just minor adjustments but rather a fundamental reimagining of the status quo.
