Model profile
Ternary Bonsai 4B
Evidence coverage
0 of 300 tracked benchmarks are published. 0 are verified and 0 provisional. 0 of 8 categories are measured.
- Published / tracked
- 0 / 300
- Verified
- 0
- Provisional
- 0
- Categories measured
- 0 / 8
Evidence by category
- Agentic0 benchmarksNot measured
- Coding0 benchmarksNot measured
- Reasoning0 benchmarksNot measured
- Knowledge0 benchmarksNot measured
- Math0 benchmarksNot measured
- Multilingual0 benchmarksNot measured
- Multimodal0 benchmarksNot measured
- Inst. Following0 benchmarksNot measured
BenchLM is tracking Ternary Bonsai 4B, 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 4B 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 4B sits inside the Ternary Bonsai family alongside Ternary Bonsai 8B, Ternary Bonsai 1.7B. This profile does not yet have sourced benchmarks on BenchLM, so the benchmark sections below are intentionally marked as coming soon.
Peer position
Exact provisional scores and ranks for the closest listed peers.
Range 42.0–44.0
- o4-mini (high)OpenAICompare#6443.0o4-mini (high) is #64 with a score of 43.0.
- Kimi K2Moonshot AICompare#6543.0Kimi K2 is #65 with a score of 43.0.
- Nemotron 3 Super 100BNVIDIACompare#6642.0Nemotron 3 Super 100B is #66 with a score of 42.0.
- GPT-4.1 miniOpenAICompare#6742.0GPT-4.1 mini is #67 with a score of 42.0.
- 1-bit Bonsai 8BPrism MLCompareUnranked44.01-bit Bonsai 8B is Unranked with a score of 44.0.
- Ternary Bonsai 4BCurrent modelPrism MLUnranked43.0Ternary Bonsai 4B is Unranked with a score of 43.0.
- Command A+CohereCompareUnranked43.0Command A+ is Unranked with a score of 43.0.
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.
Category evidence
Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticWeight 22%0 benchmarksNot measured | Not measured | Not ranked | Not available | 22% | 0 benchmarks | Not measured |
| CodingWeight 20%0 benchmarksNot measured | Not measured | Not ranked | Not available | 20% | 0 benchmarks | Not measured |
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | Not ranked | Not available | 17% | 0 benchmarks | Not measured |
| KnowledgeWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| MathWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
Frequently Asked Questions
How does Ternary Bonsai 4B perform overall in AI benchmarks?
BenchLM is tracking Ternary Bonsai 4B, 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 4B open source?
Yes, Ternary Bonsai 4B 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 4B?
Ternary Bonsai 4B belongs to the Ternary Bonsai family. Related variants on BenchLM include Ternary Bonsai 8B, Ternary Bonsai 1.7B.
Does Ternary Bonsai 4B have full benchmark coverage on BenchLM?
Not yet. Ternary Bonsai 4B currently has 0 published benchmark scores out of the 300 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 4B?
Ternary Bonsai 4B has a context window of 32K, which determines how much text it can process in a single interaction.
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