What are the hardware requirements for ProLLaMA?

ProLLaMA requires approximately 13.5 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed ProLLaMA and how large is it?

ProLLaMA is developed by GreatCaptainNemo, a model with 6.7b 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 ProLLaMA?

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

ProLLaMA by GreatCaptainNemo — VRAM 13.5GB, 4K context

Name: ProLLaMA
Author: GreatCaptainNemo

ProLLaMA is an open-source language model by GreatCaptainNemo. Features: 6.7b LLM, VRAM: 13.5GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.12.

Arxiv:2402.16445 Endpoints compatible Llama Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/GreatCaptainNemo/ProLLaMA

ProLLaMA Parameters and Internals

Model Type

protein language processing

Input Output

Input Format:

[Generate by superfamily] Superfamily= or [Determine superfamily] Seq=

Accepted Modalities:

text

Output Format:

Protein language outputs

Performance Tips:

Ensure CUDA is available and use GPU for optimal performance.

LLM Name	ProLLaMA
Repository 🤗	https://huggingface.co/GreatCaptainNemo/ProLLaMA
Model Size	6.7b
Required VRAM	13.5 GB
Updated	2026-07-17
Maintainer	GreatCaptainNemo
Model Type	llama
Model Files	10.0 GB: 1-of-2 3.5 GB: 2-of-2 10.0 GB: 1-of-2 3.5 GB: 2-of-2
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.31.0
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	float16

Rank the ProLLaMA 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 ProLLaMA

Best Alternatives	Context / RAM	Downloads	Likes
Gptnoise37	128K / 13.5 GB	67	0
...Deepseek Coder 6.7B Energy Sft	16K / 13.5 GB	261	0
Deepseek Coder 6.7B Base	16K / 13.5 GB	54216	124
Speechless Coder Ds 6.7B	16K / 13.5 GB	459	7
OpenCodeInterpreter DS 6.7B	16K / 13.5 GB	20040	135
...s Coder6.7b Reflct Adamw Iter2	16K / 13.5 GB	480	0
...ir8 Ds Coder6.7b Rmsprop Iter4	16K / 13.5 GB	183	0
...s Coder6.7b Reflct Adamw Iter1	16K / 13.5 GB	475	0
...ir8 Ds Coder6.7b Rmsprop Iter2	16K / 13.5 GB	183	0
...ir8 Ds Coder6.7b Rmsprop Iter3	16K / 13.5 GB	165	0

Note: green Score (e.g. "73.2") means that the model is better than GreatCaptainNemo/ProLLaMA.