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title: PresenceAI
emoji: 🎭
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PresenceAI
PresenceAI builds open, production-oriented conversational models for e-commerce, social connection, and tool-calling experiences.
Presence Muses
Presence Muses is our first open model family: a set of LoRA adapters covering supervised fine-tuning (SFT) and direct preference optimization (DPO). The adapters are small and composable, and are designed to sit on top of well-known base models.
| Model | Base model | Stage | Adapter size |
|---|---|---|---|
| Calliope-32B-SFT-LoRA-v1.0 | Qwen/Qwen3-32B | SFT | 1.07 GB |
| Polyhymnia-32B-SFT-LoRA-v1.0 | Qwen/Qwen3-32B | SFT (full-data run) | 1.07 GB |
| Erato-27B-DPO-LoRA-v1.0 | Qwen/Qwen3.8-27B | DPO | 638 MB |
| Thalia-31B-DPO-LoRA-v1.0 | Gryphe/Gemma-4-31B-StyleTune | DPO | 935 MB |
What we release
- LoRA adapters only — base model weights are not redistributed; download the base model separately from its upstream repository.
- No training or evaluation datasets are published with these adapters.
- Adapters are released under Apache-2.0; the upstream base-model licenses and terms continue to apply.
- These are research and prototyping models. Evaluate quality, safety, and policy compliance for your own deployment.
Model lineage
- Calliope / Polyhymnia are supervised fine-tunes of
Qwen/Qwen3-32B; Polyhymnia is the full-data run. - Erato is a DPO adapter trained directly on the
Qwen/Qwen3.8-27Bbase model. - Thalia is a DPO adapter trained on
Gryphe/Gemma-4-31B-StyleTune, a style-tuned derivative of Gemma-4-31B — not on the original Gemma base.
For prompt formats, tokenizer files, tool-calling parsers, and evaluation notes, see each model card.
中文简介
PresenceAI 是 Presence AI 的开源模型组织。当前发布的 Presence Muses 系列是四个 LoRA 适配器,覆盖 SFT 与 DPO 两个阶段,基座分别为 Qwen3-32B、Qwen3.8-27B 和 Gemma-4-31B StyleTune。我们只发布适配器权重,不发布基座和训练数据;适配器采用 Apache-2.0,基座许可继续适用。
Community
Questions and feedback are welcome in the Discussions tab of the corresponding model repository.