🧠 Mnemosyne-SCLM v4.3.3
Cognitive AI System by Mike Amega (Logo) - Ame Web Studio
📜 Dual License
Open Source (Apache 2.0)
- ✅ Personal use
- ✅ Research
- ✅ Non-commercial projects
- ⚠️ Must include attribution
Commercial License
- 💼 SaaS products
- 💼 Enterprise deployments
- 💼 Commercial applications
- 📧 Contact: amewebstudio@gmail.com
Features v4.3.3
- ✅ Audio input with Whisper transcription + AUTO-SEND
- ✅ Max tokens: 4096
- ✅ Symbolic math (N+N with SymPy)
- ✅ RoPE dimension fix
- ✅ Multi-scale memory
- ✅ Episodic memory
- ✅ HYBRID GPU/CPU mode
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("amewebstudio/mnemosyne-multimodal-v4", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("amewebstudio/mnemosyne-multimodal-v4")
© 2024 Mike Amega - Ame Web Studio
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