1-bit Bonsai 1.7B
BenchLM is tracking 1-bit 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.
1-bit 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.
1-bit Bonsai 1.7B sits inside the 1-bit Bonsai family alongside 1-bit Bonsai 8B, 1-bit Bonsai 4B. This profile currently has 0 sourced benchmarks on BenchLM, so the benchmark sections below are intentionally marked as coming soon.
Ranking Distribution
Category rank across 3 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
#116Benchmark 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 1-bit Bonsai 1.7B stacks up against similar models
Frequently Asked Questions
How does 1-bit Bonsai 1.7B perform overall in AI benchmarks?
BenchLM is tracking 1-bit 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 1-bit Bonsai 1.7B open source?
Yes, 1-bit 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 1-bit Bonsai 1.7B?
1-bit Bonsai 1.7B belongs to the 1-bit Bonsai family. Related variants on BenchLM include 1-bit Bonsai 8B, 1-bit Bonsai 4B.
Does 1-bit Bonsai 1.7B have full benchmark coverage on BenchLM?
Not yet. 1-bit Bonsai 1.7B currently has 0 published benchmark scores out of the 178 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 1-bit Bonsai 1.7B?
1-bit 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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