Ternary Bonsai 1.7B
BenchLM is tracking Ternary Bonsai 1.7B, but sourced benchmark results are not published on the site yet. This page currently shows the model metadata we can verify now, and score-level benchmark coverage will appear once public evaluations land.
Ternary Bonsai 1.7B is a open weight model with a 32K token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.
Ternary Bonsai 1.7B sits inside the Ternary Bonsai family alongside Ternary Bonsai 8B, Ternary Bonsai 4B. This profile currently has 0 sourced benchmarks on BenchLM, so the benchmark sections below are intentionally marked as coming soon.
Its strongest category is Instruction Following (#103). This performance profile makes it a well-rounded choice across a range of tasks.
Ranking Distribution
Category rank across 2 benchmark categories — sorted by best rank
Category Performance
Scores across all benchmark categories (0-100 scale)
Category Breakdown
Agentic
Coding
Reasoning
Knowledge
Math
Multilingual
Multimodal
Inst. Following
#103Benchmark Details
Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.
Compare This Model
See how Ternary Bonsai 1.7B stacks up against similar models
Frequently Asked Questions
How does Ternary Bonsai 1.7B perform overall in AI benchmarks?
BenchLM is tracking Ternary Bonsai 1.7B, but sourced benchmark coverage is still coming soon. We currently list its creator, model type, and context window while we wait for public benchmark results.
Is Ternary Bonsai 1.7B open source?
Yes, Ternary Bonsai 1.7B is an open weight model created by Prism ML, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Which sibling models are related to Ternary Bonsai 1.7B?
Ternary Bonsai 1.7B belongs to the Ternary Bonsai family. Related variants on BenchLM include Ternary Bonsai 8B, Ternary Bonsai 4B.
Does Ternary Bonsai 1.7B have full benchmark coverage on BenchLM?
Not yet. Ternary Bonsai 1.7B currently has 0 published benchmark scores out of the 152 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of Ternary Bonsai 1.7B?
Ternary Bonsai 1.7B has a context window of 32K, which determines how much text it can process in a single interaction.
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