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emilyrae140922
manjaveca/emilyrae140922
emilyrae140922 is a machine learning model from manjaveca. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
This repository contains a PEFT adapter that fine-tunes the NousResearch/Hermes-3-Llama-3.2-3B large language model to emulate the “Emily Rae” persona.
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At a glance
- License
- apache-2.0
- Model type
- llama
- Access
- Public
- Created
- May 16, 2025
- Updated
- May 16, 2025
- SHA
- 5660c44c
Base models
Model card
From the Hugging Face model README
Model Card for manjaveca/emilyrae140922
This repository contains a PEFT adapter that fine-tunes the
NousResearch/Hermes-3-Llama-3.2-3B
large language model to emulate the “Emily Rae” persona.
Model Details
Model Description
A lightweight adapter that, when applied to the base Llama-3.2-3B model,
steers its responses to match the style, tone, and content strategy
defined for the “Emily Rae” conversational agent.
- Developed by: Manja Veca
- Model type: Causal language model (PEFT-adapter)
- Language(s): English
- License: Apache-2.0
- Finetuned from: NousResearch/Hermes-3-Llama-3.2-3B
Uses
Direct Use
Load the adapter on top of the base model to get “Emily Rae” behavior:
from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel
tokenizer = AutoTokenizer.from_pretrained("manjaveca/emilyrae140922")
base = AutoModelForCausalLM.from_pretrained(
"NousResearch/Hermes-3-Llama-3.2-3B",
torch_dtype=torch.float16,
device_map="auto"
)
model = PeftModel.from_pretrained(base, "manjaveca/emilyrae140922", torch_dtype=torch.float16)
2
- Type
- llama
- License
- apache-2.0
- Languages
- en
- Created
- May 16, 2025
- Updated
- May 16, 2025