What are the hardware requirements for Zenotron Mini 0.5 Multilingual FP8?

Zenotron Mini 0.5 Multilingual FP8 requires approximately 38.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Zenotron Mini 0.5 Multilingual FP8 and how large is it?

Zenotron Mini 0.5 Multilingual FP8 is developed by open-zzrl, a model with 36b 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 Zenotron Mini 0.5 Multilingual FP8?

Zenotron Mini 0.5 Multilingual FP8 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Zenotron Mini 0.5 Multilingual FP8 by open-zzrl — VRAM 38.7GB

Name: Zenotron Mini 0.5 Multilingual FP8
Author: open-zzrl

Zenotron Mini 0.5 Multilingual FP8 is an open-source language model by open-zzrl. Features: 36b LLM, VRAM: 38.7GB, License: apache-2.0, LLM Explorer Score: 0.3.

Base model:open-zzrl/zenotron-... Base model:quantized:open-zzrl... Compressed-tensors Conversational En Fp8 Fr Ko Moe Quantized Qwen3 5 moe Region:us Ru Safetensors Sharded Tensorflow Zenotron

Model Card on HF 🤗: https://huggingface.co/open-zzrl/Zenotron-Mini-0.5-Multilingual-FP8

Zenotron Mini 0.5 Multilingual FP8 Parameters and Internals

LLM Name	Zenotron Mini 0.5 Multilingual FP8
Repository 🤗	https://huggingface.co/open-zzrl/Zenotron-Mini-0.5-Multilingual-FP8
Base Model(s)	open-zzrl/Zenotron-Mini-0.5-Multilingual open-zzrl/Zenotron-Mini-0.5-Multilingual
Model Size	36b
Required VRAM	38.7 GB
Updated	2026-11-10
Maintainer	open-zzrl
Model Type	qwen3_5_moe
Model Files	2.6 GB: 1-of-26 1.0 GB: 2-of-26 1.7 GB: 3-of-26 1.7 GB: 4-of-26 1.7 GB: 5-of-26 2.0 GB: 6-of-26 0.6 GB: 7-of-26 2.0 GB: 8-of-26 0.6 GB: 9-of-26 2.0 GB: 10-of-26 0.6 GB: 11-of-26 1.7 GB: 12-of-26 0.8 GB: 13-of-26 1.7 GB: 14-of-26 0.8 GB: 15-of-26 2.0 GB: 16-of-26 0.6 GB: 17-of-26 2.0 GB: 18-of-26 0.6 GB: 19-of-26 1.7 GB: 20-of-26 0.8 GB: 21-of-26 1.7 GB: 22-of-26 1.7 GB: 23-of-26 1.7 GB: 24-of-26 2.5 GB: 25-of-26 1.9 GB: 26-of-26
Supported Languages	ru en fr ko
Model Architecture	Qwen3_5MoeForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.17.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Errors	replace

Rank the Zenotron Mini 0.5 Multilingual FP8 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 Zenotron Mini 0.5 Multilingual FP8

Best Alternatives	Context / RAM	Downloads	Likes
Sage A1.5	0K / 70.6 GB	2033	266
Sage A1.5 FP8	0K / 37.7 GB	647	14
Uraion Cyber Preview	0K / 72.1 GB	771	0
...c Quality Inspector V1.0 NVFP4	0K / 25.6 GB	316	0
Apodex 1.1 Mini FP8	0K / 37.6 GB	235	14
Affine 5eqdtdzqle Ckpt300 M4	0K / 142.6 GB	548	0
Occamy 1.0 OQ6e Mtp	0K / 30.2 GB	43	1
AdvancedMathBench AutoVerifier	0K / 0.1 GB	50	1
Darwin 35B A3B Opus	0K / 72.3 GB	194	97
Yaya 3.6	0K / 72.2 GB	38	0

Note: green Score (e.g. "73.2") means that the model is better than open-zzrl/Zenotron-Mini-0.5-Multilingual-FP8.