EvoLLM Models by Sakana AI
1 model2024Up to 32k ctx
Last refreshed 2026-06-29. Next refresh: weekly.
Details
ResearcherSakana AI
LicenseApache 2.0OSI-approved
Commercial useCommercial use: permitted
Models1
Released2024
Max context32k
About
EvoLLM is a family of language models created by Sakana AI using their Evolutionary Model Merge technique, which applies evolutionary algorithms to combine existing open-weight models into new, specialized variants. EvoLLM-JP is optimized for Japanese text generation, created by merging and evolving multiple foundation models.
Decision facts
- Best fit
- General model comparison
- Capability starting point
- EvoLLM-JP-v1-7B with 32k context
- Lowest tracked input
- Not tracked
- Closest related family
- Claude 3
Current Variants
Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.
1 in view
EvoLLM-JP-v1-7BCurrent
Use when the workload needs 32k context and 7B parameters.
2024-0332k context7B parameters
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| EvoLLM-JP-v1-7B | Use when the workload needs 32k context and 7B parameters. | 2024-03 | 32k context7B parameters | Current |
Release Timeline
1 release group2024-03
1 current
EvoLLM-JP-v1-7B
Current32k context7B parameters
Specifications(1 models)
| Model | Released | Context | Parameters |
|---|---|---|---|
| EvoLLM-JP-v1-7B | 2024-03 | 32k | 7B |