What are the hardware requirements for Typhoon V1.5 72B?

Typhoon V1.5 72B requires approximately 144.5 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Typhoon V1.5 72B and how large is it?

Typhoon V1.5 72B is developed by scb10x, a model with 72b 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 Typhoon V1.5 72B?

Typhoon V1.5 72B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Typhoon V1.5 72B by scb10x — VRAM 144.5GB, 32K context

Name: Typhoon V1.5 72B
Author: scb10x

Typhoon V1.5 72B is an open-source language model by scb10x. Features: 72b LLM, VRAM: 144.5GB, Context: 32K, License: other, LLM Explorer Score: 0.12.

Arxiv:2312.13951 Autotrain compatible Conversational En Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow Th

Model Card on HF 🤗: https://huggingface.co/scb10x/typhoon-v1.5-72b

Typhoon V1.5 72B Parameters and Internals

Model Type

text generation

Use Cases

Areas:

research

Limitations:

may generate harmful or inappropriate responses

Additional Notes

This is a pretrained base model and may not be able to follow human instructions without using one/few-shot learning or instruction fine-tuning.

Supported Languages

th (high), en (high)

LLM Name	Typhoon V1.5 72B
Repository 🤗	https://huggingface.co/scb10x/typhoon-v1.5-72b
Model Size	72b
Required VRAM	144.5 GB
Updated	2025-09-23
Maintainer	scb10x
Model Type	qwen2
Model Files	4.8 GB: 1-of-30 5.0 GB: 2-of-30 5.0 GB: 3-of-30 4.8 GB: 4-of-30 4.8 GB: 5-of-30 4.8 GB: 6-of-30 5.0 GB: 7-of-30 5.0 GB: 8-of-30 4.8 GB: 9-of-30 4.8 GB: 10-of-30 4.8 GB: 11-of-30 5.0 GB: 12-of-30 5.0 GB: 13-of-30 4.8 GB: 14-of-30 4.8 GB: 15-of-30 4.8 GB: 16-of-30 5.0 GB: 17-of-30 5.0 GB: 18-of-30 4.8 GB: 19-of-30 4.8 GB: 20-of-30 4.8 GB: 21-of-30 5.0 GB: 22-of-30 5.0 GB: 23-of-30 4.8 GB: 24-of-30 4.8 GB: 25-of-30 4.8 GB: 26-of-30 5.0 GB: 27-of-30 5.0 GB: 28-of-30 4.8 GB: 29-of-30 2.9 GB: 30-of-30
Supported Languages	th en
Model Architecture	Qwen2ForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Typhoon V1.5 72B 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 Typhoon V1.5 72B

Best Alternatives	Context / RAM	Downloads	Likes
...R10528DistillQwen 72B Preview3	195K / 146 GB	8	7
KAT Dev 72B Exp FP8	156K / 75.5 GB	13	6
Qwen2.5 72B	128K / 145.5 GB	13708	101
Ultiima 72B	128K / 146.1 GB	51	3
Homer V1.0 Qwen2.5 72B	128K / 146.1 GB	14	6
Ultiima 72B V1.5	128K / 146.1 GB	25	0
EVA Qwen2.5 72B V0.2	128K / 146 GB	159	22
Qwen2 72B	128K / 145.5 GB	18480	199
AceInstruct 72B	128K / 146 GB	88	18
...n2.5 72B 2x Instruct TIES V1.0	128K / 146.1 GB	81	1

Note: green Score (e.g. "73.2") means that the model is better than scb10x/typhoon-v1.5-72b.