What are the hardware requirements for Tildeopen 30B Mu Instruct?

Tildeopen 30B Mu Instruct requires approximately 60.9 GB of VRAM and supports a context window of 64K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tildeopen 30B Mu Instruct and how large is it?

Tildeopen 30B Mu Instruct is developed by martinsu, a model with 30b 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 Tildeopen 30B Mu Instruct?

Tildeopen 30B Mu Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Tildeopen 30B Mu Instruct by martinsu — VRAM 60.9GB, 64K context

Name: Tildeopen 30B Mu Instruct
Author: martinsu

Tildeopen 30B Mu Instruct is an open-source language model by martinsu. Features: 30b LLM, VRAM: 60.9GB, Context: 64K, License: cc-by-4.0, Instruction-Based, LLM Explorer Score: 0.21.

Base model:finetune:tildeai/ti... Base model:tildeai/tildeopen-3... Bg Chatml Conversational Cs Da Dataset:galileo-ai/ragbench Dataset:huggingfaceh4/ultracha... Dataset:martinsu/latvian-wikip... Dataset:utter-project/eurobloc... Dataset:yahma/alpaca-cleaned De El En Endpoints compatible Es Et Fi Fr Hi Hr Hu Instruct It Ja Ko Llama Lt Lv Model-index Multilingual Nl Pl Pt Region:us Response-only-training Ro Ru Safetensors Sharded Sk Sl Sv Tensorflow Uk Zh

Model Card on HF 🤗: https://huggingface.co/martinsu/tildeopen-30b-mu-instruct

Tildeopen 30B Mu Instruct Parameters and Internals

LLM Name	Tildeopen 30B Mu Instruct
Repository 🤗	https://huggingface.co/martinsu/tildeopen-30b-mu-instruct
Base Model(s)	TildeOpen 30B TildeAI/TildeOpen-30b
Model Size	30b
Required VRAM	60.9 GB
Updated	2026-08-06
Maintainer	martinsu
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-13 4.8 GB: 2-of-13 4.8 GB: 3-of-13 4.8 GB: 4-of-13 4.8 GB: 5-of-13 4.8 GB: 6-of-13 4.8 GB: 7-of-13 4.8 GB: 8-of-13 4.8 GB: 9-of-13 4.8 GB: 10-of-13 4.8 GB: 11-of-13 4.8 GB: 12-of-13 3.1 GB: 13-of-13
Supported Languages	en de fr es it pt nl pl lv et lt cs sk ro bg sl hr sv da fi hu uk ru zh hi ja ko el
Model Architecture	LlamaForCausalLM
License	cc-by-4.0
Context Length	65536
Model Max Length	65536
Transformers Version	4.57.1
Tokenizer Class	LlamaTokenizer
Padding Token	<\|pad\|>
Vocabulary Size	131102

Rank the Tildeopen 30B Mu Instruct capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
Text Generation
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Multi-Language Support and Translation

Best Alternatives to Tildeopen 30B Mu Instruct

Best Alternatives	Context / RAM	Downloads	Likes
...ct 2048 Open Platypus 100steps	2K / 65.2 GB	88	0
Llama 30B Instruct 2048	2K / 65.2 GB	374	103
...azarus Instruct PL Lora Unload	2K / 65.2 GB	84	0
Llama 30B Instruct	2K / 65.2 GB	333	24
...B 2048 Instruct PL Lora Unload	2K / 65.2 GB	94	1
...lama 30B Instruct 2048 PL Lora	2K / 65.2 GB	91	0
Open Instruct Human Mix 30B	2K / 130.5 GB	58	1
H2ogpt Oasst1 512 30B HF	2K / 65 GB	116	2
...pt Research Oig Oasst1 512 30B	2K / 81.1 GB	179	3
Veyra 30M Instruct	1K / 0.1 GB	151	3

Note: green Score (e.g. "73.2") means that the model is better than martinsu/tildeopen-30b-mu-instruct.