1.5 KiB
1.5 KiB
license, datasets, language, base_model, pipeline_tag, library_name, tags
| license | datasets | language | base_model | pipeline_tag | library_name | tags | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| apache-2.0 |
|
|
|
text-generation | transformers |
|
Playdate1.1 600M / Playdate1 600M but you specify the user's gender.
This is a fine tune of a fine tune of Qwen3 0.6B by Alibaba Cloud.
Emergent Behavior
We have consistently observed that models trained on playdate1 will often engage in highly realistic NSFW. This was not intended, but it will be kept as is for now.
Usage notes:
- System prompts must not be strict and clarify characteristics, what intended language to be spoken, etc. Follow exactly:
You are a {role, not a name, read below for more info}, {personality}, chatting with a {user pronouns}, and speak in {lang style, example: chinese poetic}
Example:
You are a circus performer, friendly, chatting with a they/them, and speak in english casual
- In any scenario, reconvert the two main names (of the user and of the AI) during conversation
Model usually expects [username] and [character]. Replace the two on the server with any method of your choosing. Unless you specify the name in the sys prompt it may not use [character].
- No summarization
Unlike the older models (not part of the org), https://huggingface.co/collections/x5tne/playdate this does not use summarization for context. Use the full turn by turn context of the conversation.