What are the hardware requirements for Fine Tuned Progen2 Large?

Fine Tuned Progen2 Large requires approximately 11.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Fine Tuned Progen2 Large and how large is it?

Fine Tuned Progen2 Large is developed by AntibodyGeneration, a model with 2.8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Fine Tuned Progen2 Large?

Fine Tuned Progen2 Large is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Fine Tuned Progen2 Large by AntibodyGeneration — VRAM 11.3GB

Name: Fine Tuned Progen2 Large
Author: AntibodyGeneration

Fine Tuned Progen2 Large is an open-source language model by AntibodyGeneration. Features: 2.8b LLM, VRAM: 11.3GB, LLM Explorer Score: 0.1.

Arxiv:2206.13517 Progen Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/AntibodyGeneration/fine-tuned-progen2-large

Fine Tuned Progen2 Large Parameters and Internals

Model Type

Protein Generation

Use Cases

Areas:

immunology, vaccine development, and medical treatments

Applications:

bioinformatics, molecular biology, and related fields

Primary Use Cases:

Generation of therapeutic antibody sequences

Training Details

Data Sources:

genomic, metagenomic, and immune repertoire databases, Structural Antibody Database

Data Volume:

280 million samples

Model Architecture:

ProGen2 architecture

LLM Name	Fine Tuned Progen2 Large
Repository 🤗	https://huggingface.co/AntibodyGeneration/fine-tuned-progen2-large
Model Size	2.8b
Required VRAM	11.3 GB
Updated	2026-09-02
Maintainer	AntibodyGeneration
Model Type	progen
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 1.3 GB: 3-of-3
Model Architecture	ProGenForCausalLM
Transformers Version	4.35.2
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	51200
Torch Data Type	float32
Activation Function	gelu_new

Rank the Fine Tuned Progen2 Large capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Fine Tuned Progen2 Large

Best Alternatives	Context / RAM	Downloads	Likes
Progen2 Large	0K / 5.6 GB	1221	1

Note: green Score (e.g. "73.2") means that the model is better than AntibodyGeneration/fine-tuned-progen2-large.