What are the hardware requirements for Llama Dna?

Llama Dna requires approximately 14 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama Dna and how large is it?

Llama Dna is developed by dnagpt, a model with 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 Llama Dna?

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

Llama Dna by dnagpt — VRAM 14GB, 2K context

Name: Llama Dna
Author: dnagpt

Llama Dna is an open-source language model by dnagpt. Features: 7b LLM, VRAM: 14GB, Context: 2K, License: mit, LLM Explorer Score: 0.15.

Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/dnagpt/llama-dna

Llama Dna Parameters and Internals

LLM Name	Llama Dna
Repository 🤗	https://huggingface.co/dnagpt/llama-dna
Model Size	7b
Required VRAM	14 GB
Updated	2026-08-05
Maintainer	dnagpt
Model Type	llama
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 4.0 GB: 3-of-3
Model Architecture	LlamaForCausalLM
License	mit
Context Length	2048
Model Max Length	2048
Transformers Version	4.45.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	61972
Torch Data Type	float16

Rank the Llama Dna 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 Llama Dna

Best Alternatives	Context / RAM	Downloads
124	1024K / 16.1 GB	93
162	1024K / 16.1 GB	60
157	1024K / 16.1 GB	101
118	1024K / 16.1 GB	15
A5.4	1024K / 16.1 GB	12
A3.4	1024K / 16.1 GB	13
A2.4	1024K / 16.1 GB	12
A6 L	1024K / 16.1 GB	201
M	1024K / 16.1 GB	127
2 Very Sci Fi	1024K / 16.1 GB	317

Note: green Score (e.g. "73.2") means that the model is better than dnagpt/llama-dna.