What are the hardware requirements for Llammas Base?

Llammas Base 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 Llammas Base and how large is it?

Llammas Base is developed by tartuNLP, 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 Llammas Base?

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

Llammas Base by tartuNLP — VRAM 13.5GB, 4K context

Name: Llammas Base
Author: tartuNLP

Llammas Base is an open-source language model by tartuNLP. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, License: llama2, LLM Explorer Score: 0.11.

Arxiv:2404.04042 Base model:finetune:meta-llama... Base model:meta-llama/llama-2-... En Endpoints compatible Et Llama Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/tartuNLP/Llammas-base

Llammas Base Parameters and Internals

Model Type

text-generation

Supported Languages

Estonian (high), English (high)

Training Details

Data Sources:

CulturaX

Data Volume:

5B tokens

LLM Name	Llammas Base
Repository 🤗	https://huggingface.co/tartuNLP/Llammas-base
Base Model(s)	Llama 2 7B Hf meta-llama/Llama-2-7b-hf
Model Size	7b
Required VRAM	13.5 GB
Updated	2026-08-07
Maintainer	tartuNLP
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
Supported Languages	et en
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.34.0.dev0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Llammas Base 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 Llammas Base

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 tartuNLP/Llammas-base.