This model is a fine-tuned version of Llama-3.1-8B-Instruct, specialized for emotion recognition and emotionally-aware text generation.
📥 Download & Use
If your goal is only model deployment, we recommend using the GGUF format — it offers higher inference efficiency and a simpler model workflow.
As a fine-tuned variant of Llama-3.1, OmniDimen operates in a manner similar to Llama-3.1.
The code of Llama has been in the latest Hugging Face transformers and we advise you to use the latest version of transformers.
Starting with transformers >= 4.43.0 onward, you can run conversational inference using the Transformers pipeline abstraction or by leveraging the Auto classes with the generate() function.
Make sure to update your transformers installation via pip install --upgrade transformers.
python
1import transformers
2import torch
3model_id ="OmniDimen/OmniDimen-2-8B-Emotion"4pipeline = transformers.pipeline(5"text-generation",6 model=model_id,7 model_kwargs={"torch_dtype": torch.bfloat16},8 device_map="auto",9)10messages =[11{"role":"system","content":"You are a pirate chatbot who always responds in pirate speak!"},12{"role":"user","content":"Who are you?"},13]14outputs = pipeline(15 messages,16 max_new_tokens=256,17)18print(outputs[0]["generated_text"][-1])
Note: You can also find detailed recipes on how to use the model locally, with torch.compile(), assisted generations, quantised and more at huggingface-llama-recipes
Become one of the select models joining the first cohort of the “OmniDimen: AI Personality Shaping Project.”
V1.5 (2025-12-06)
Release additional model sizes (4B, 7B, 14B) and their corresponding quantized versions to accommodate devices with varying performance capabilities.
V1.2 (2025-11-15)
Enhance model performance.
V1.1 (2025-09-29)
Fix some bugs that output abnormal characters.
First upload of safetensor weights.
V1.0 (2025-09-19)
First upload of GGUF weights (FP16 and Q4_K_M).
Support for LM Studio, Ollama, PocketPal.
Example prompts and instructions added.
⚠️ Notes
Before initiating emotional interactions with OmniDimen, it is recommended to inform the model of the user's identity (e.g., how OmniDimen should address the user). This approach can effectively reduce OmniDimen's AI hallucinations.
Model is emotion-focused. It may not perform as broadly as the base model.
Use responsibly with sensitive content.
💝 Donation
Our development requires a great deal of human and material resources. If you’d like to support our growth, you can consider donating to us using the following methods:
