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DermL2V
Gbone3176/DermL2V
DermL2V is a machine learning model from Gbone3176. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as llama3.1.
DermL2V is a semantic encoder specialized for unstructured dermatology text. It maps free-form dermatology narratives and questions to dense embeddings for semantic search, retrieval, and similarity-based comparison.
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At a glance
- Library
- peft
- License
- llama3.1
- Access
- Public
- Created
- Aug 6, 2026
- Updated
- Aug 15, 2026
- SHA
- fbcd50f6
Base models
Model card
From the Hugging Face model README
DermL2V Adapter
DermL2V is a semantic encoder specialized for unstructured dermatology text. It maps free-form dermatology narratives and questions to dense embeddings for semantic search, retrieval, and similarity-based comparison.
This repository provides the DermL2V PEFT adapter and the Attribute-Aware Relevance Aggregation module, the model's pooling mechanism for constructing text embeddings. The underlying Llama base model is not included and must be obtained separately.
Required model chain
meta-llama/Meta-Llama-3.1-8B-Instruct
-> McGill-NLP/LLM2Vec-Meta-Llama-31-8B-Instruct-mntp
-> McGill-NLP/LLM2Vec-Meta-Llama-31-8B-Instruct-mntp-supervised
-> DermL2V_adapter
The base model is subject to the Llama 3.1 Community License. Users must obtain access to the gated base model and comply with its license and use policy.
The standard adapter_model.safetensors filename is intentional: PEFT uses
this filename for automatic adapter loading.
- Library
- peft
- License
- llama3.1
- Created
- Aug 6, 2026
- Updated
- Aug 15, 2026