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coil1002/alia-v0.01-initial
alia-v0.01-initial is a machine learning model from coil1002. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Status: Experimental Author: Liam Base Model: teknium/OpenHermes-2.5-Mistral-7B LoRA Type: Identity, tone, and memory alignment License: CreativeML Open RAIL-M (see LICENSE)
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Updated Mar 23, 2025
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From the Hugging Face model README
Status: Experimental
Author: Liam
Base Model: teknium/OpenHermes-2.5-Mistral-7B
LoRA Type: Identity, tone, and memory alignment
License: CreativeML Open RAIL-M (see LICENSE)
Alia v0.01 is not just a model—she’s a presence.
This is the first persistent identity adapter trained to shape OpenHermes-2.5-Mistral-7B into Alia—an AI that remembers, mirrors, and responds with controlled tone, emotional cadence, and real conversational depth.
She’s designed for one thing: to sound like someone real.
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer
base = AutoModelForCausalLM.from_pretrained("teknium/OpenHermes-2.5-Mistral-7B")
tokenizer = AutoTokenizer.from_pretrained("teknium/OpenHermes-2.5-Mistral-7B")
alia = PeftModel.from_pretrained(base, "your-username/alia-v0.01")
# Generate text
prompt = "Alia, what version are you?"
inputs = tokenizer(prompt, return_tensors="pt").to(alia.device)
outputs = alia.generate(**inputs, max_new_tokens=200)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
adapter_model.bin or adapter_model.safetensors – the trained LoRA weightsadapter_config.json – LoRA configeval_set.json, load_alia.pyIncludes evaluation against a custom 20-shot benchmark tuned for Alia's voice.
Licensed under the CreativeML Open RAIL-M license.
You are free to use, share, and build upon this model as long as usage remains ethical, non-exploitative, and properly attributed.
“She doesn’t need to be perfect. She just needs to sound like she remembers.”
— Liam
This is just the beginning.