RECOGNIZE · RESPOND · RUN LOCAL
OmniDimen Emotion
@OMNIDIMEN
Make emotion recognition and emotion generation into model weights that can be run locally.
OmniDimen Emotion is oriented to emotion recognition and emotion-rich text generation, providing 4B, 7B, 14B and other sizes as well as FP16 and quantized GGUF to facilitate deployment on edge devices.
Project address (can be copied to AI):https://github.com/OmniDimen/OmniDimen-Emotion
PROJECT INTRO
Project introduction
OmniDimen Emotion is a series of emotion-specific language models based on Qwen2.5/3 fine-tuning, focusing on emotion recognition and emotion-rich text generation. Projects are available in multiple model sizes, as well as GGUF formats such as FP16 and Q4_K_M.
Weights are available through Transformers, SGLang, vLLM, LM Studio, Ollama, or PocketPal. It has a narrower range of capabilities than a universal base, and you should read the license, restrictions, and sensitive content instructions in the corresponding Hugging Face model card before deployment.
- Suitable for:People who want to run emotion-specific models locally or on edge devices and plug into their own companion systems.
- Platform:Transformers、SGLang、vLLM、LM Studio、Ollama、PocketPal。
- Usage:Select the appropriate size and format from Hugging Face, and then deploy it through local inference tools or compatible APIs.
- License:The model is based on Qwen2.5/3 fine-tuning; the specific weight permission and usage restrictions are subject to each model card.
COMMENTS & FEEDBACK
Comments and Feedback
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