Persimmon Models by Adept AI
Last refreshed 2026-05-19. Next refresh: weekly.
Details
About
The Persimmon family of large language models (LLMs) by Adept AI features decoder-only transformer models that excel despite their relatively small parameter counts. Persimmon-8B, the most renowned model in this family, offers an impressive context size of 16K tokens, enabling it to manage longer inputs and preserve more context during text generation 12. Adept AI emphasizes practical evaluation of the models, focusing on direct text generation over implicit probabilities 1. They are distributed under an Apache license to encourage community contributions and further development 12. Although the base model's performance is similar to Llama 2 with less training data, its instruction-tuned variant, Persimmon-8B-FT, outperforms in various benchmarks 1. The architecture incorporates enhancements like squared ReLU activation and query/key layernorm for increased efficiency, and Adept provides fast inference code, blending C++ speed with Python's flexibility 1.
Decision facts
- Best fit
- coding
- Capability starting point
- Persimmon 8B with 16k context
- Lowest tracked input
- Not tracked
- Closest related family
- Fuyu
Current Variants
Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.
Use when the workload needs 16k context and 8B parameters.
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| Persimmon 8B | Use when the workload needs 16k context and 8B parameters. | 2023-09 | 16k context8B parameters | Current |
Release Timeline
1 release groupSpecifications(1 models)
| Model | Released | Context | Parameters |
|---|---|---|---|
| Persimmon 8B | 2023-09 | 16k | 8B |

