OpenHermes Models by Teknium
Last refreshed 2026-06-15. Next refresh: weekly.
Details
About
The OpenHermes family of large language models (LLMs) are built upon the Mistral foundation model, renowned for their stellar performance on benchmarks involving reasoning, instruction adherence, and providing truthful outputs 458. Fine-tuned on a substantial dataset with contributions from GPT-4 generated content and other high-quality open-source data, these models leverage ChatML for superior multi-turn conversation handling 4511. They offer various quantized versions, balancing resource needs and performance 238. OpenHermes models are recognized for their human-like text generation and strong instruction following, although they can be verbose 11. The OpenHermes-2.5-Mistral-7B model stands out for significant improvements and competitive edge over other Mistral adaptations 45.
Decision facts
- Best fit
- General model comparison
- Capability starting point
- OpenHermes 7B with 32k context
- Lowest tracked input
- Not tracked
- Closest related family
- MOSS-Audio
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 4k context and 13B parameters.
Use when the workload needs 32k context and 7B parameters.
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| OpenHermes 13B | Use when the workload needs 4k context and 13B parameters. | 2023-07 | 4k context13B parameters | Current |
| OpenHermes 7B | Use when the workload needs 32k context and 7B parameters. | 2023-07 | 32k context7B parameters | Current |
Release Timeline
1 release groupSpecifications(2 models)
| Model | Released | Context | Parameters |
|---|---|---|---|
| OpenHermes 13B | 2023-07 | 4k | 13B |
| OpenHermes 7B | 2023-07 | 32k | 7B |
