What are the hardware requirements for Luna?

Luna requires approximately 8.1 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Luna and how large is it?

Luna is developed by beyoru, a model with 4b 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 Luna?

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

Luna by beyoru — VRAM 8.1GB, 256K context

Name: Luna
Author: beyoru

Luna is an open-source language model by beyoru. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, License: mit, LLM Explorer Score: 0.2.

Character Chat Conversational Creative writing En Endpoints compatible Natural converation Qwen3 Region:us Roleplay Rp Safetensors Sfw Sharded Storytelling Tensorflow Vi Waifu Zh

Model Card on HF 🤗: https://huggingface.co/beyoru/Luna

Luna Parameters and Internals

LLM Name	Luna
Repository 🤗	https://huggingface.co/beyoru/Luna
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-08-07
Maintainer	beyoru
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 3.1 GB: 2-of-2
Supported Languages	en zh vi
Model Architecture	Qwen3ForCausalLM
License	mit
Context Length	262144
Model Max Length	262144
Transformers Version	4.55.4
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Luna 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 Luna

Best Alternatives	Context / RAM	Downloads	Likes
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
GRPO 4 70	256K / 8.1 GB	15	0
...2.5 Flash Lite Preview Distill	256K / 8.1 GB	31	1
Lightning 4B	256K / 8.1 GB	13	6
Fable Traces	256K / 8.1 GB	385	210
Checkpoint 8000	256K / 8.1 GB	1453	0
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78

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