What are the hardware requirements for Lumma 0.6B Base?

Lumma 0.6B Base requires approximately 1.3 GB of VRAM and supports a context window of 12K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Lumma 0.6B Base and how large is it?

Lumma 0.6B Base is developed by FrontiersMind, a model with 0.6b 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 Lumma 0.6B Base?

Lumma 0.6B Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Lumma 0.6B Base by FrontiersMind — VRAM 1.3GB, 12K context

Name: Lumma 0.6B Base
Author: FrontiersMind

Lumma 0.6B Base is an open-source language model by FrontiersMind. Features: 0.6b LLM, VRAM: 1.3GB, Context: 12K, License: apache-2.0, LLM Explorer Score: 0.31.

Bn Custom code En Gu Hi Kn Ml Mr Nandi Or Pa Region:us Safetensors Ta Te

Model Card on HF 🤗: https://huggingface.co/FrontiersMind/Lumma-0.6B-Base

Lumma 0.6B Base Parameters and Internals

LLM Name	Lumma 0.6B Base
Repository 🤗	https://huggingface.co/FrontiersMind/Lumma-0.6B-Base
Model Size	0.6b
Required VRAM	1.3 GB
Updated	2026-07-30
Maintainer	FrontiersMind
Model Type	nandi
Model Files	1.3 GB
Supported Languages	en hi bn ta te kn ml mr gu pa or
Model Architecture	NandiForCausalLM
License	apache-2.0
Context Length	12288
Model Max Length	12288
Tokenizer Class	NandiTokenizer
Padding Token	<\|pad\|>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Lumma 0.6B Base capabilities

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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 Lumma 0.6B Base

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Lumma 0.6B Extract	12K / 1.3 GB	287	10