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1-bit Bonsai 1.7B

Prism MLCurrentReleased Mar 31, 2026
Overall Score
Coming soon
Arena Elo
N/A
Categories Ranked
1of 8
Price (1M tokens)
$0 in / $0 out
Speed
N/A
Context
32K
Open WeightSelf-hostNon-Reasoning
Confidence
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.

Benchmark data coming soon

BenchLM has created this model profile, but no sourced benchmark rows are published here yet. Category charts, rankings, and score tables will appear after public evaluations are available and attached to source records.

1-bit Bonsai Family

1-7b

Canonical Entry

1-bit Bonsai 8B

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 225 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.

Last updated: June 2, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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