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

Typhoon V1.5 72B Instruct AWQ requires approximately 41.3 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 Instruct AWQ and how large is it?

Typhoon V1.5 72B Instruct AWQ 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 Instruct AWQ?

Typhoon V1.5 72B Instruct AWQ 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 Instruct AWQ by scb10x — VRAM 41.3GB, 32K context

Name: Typhoon V1.5 72B Instruct AWQ
Author: scb10x

Typhoon V1.5 72B Instruct AWQ is an open-source language model by scb10x. Features: 72b LLM, VRAM: 41.3GB, Context: 32K, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

Arxiv:2312.13951 4-bit Autotrain compatible Awq Conversational En Endpoints compatible Instruct Quantized Qwen2 Region:us Safetensors Sharded Tensorflow Th

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

Typhoon V1.5 72B Instruct AWQ Parameters and Internals

Model Type

instruct, decoder-only model

Use Cases

Limitations:

undergoing development, capable of inaccurate, biased, or objectionable answers

Considerations:

Developers should assess risks in the context of their use case.

Additional Notes

This model is an instructional model, incorporating some level of guardrails.

Supported Languages

th (Thai), en (English)

Input Output

Input Format:

chatml chat-template

Accepted Modalities:

text

Output Format:

response to input prompt

LLM Name	Typhoon V1.5 72B Instruct AWQ
Repository 🤗	https://huggingface.co/scb10x/typhoon-v1.5-72b-instruct-awq
Base Model(s)	scb10x/typhoon-v1.5-72b-instruct scb10x/typhoon-v1.5-72b-instruct
Model Size	72b
Required VRAM	41.3 GB
Updated	2025-10-14
Maintainer	scb10x
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-9 5.0 GB: 2-of-9 5.0 GB: 3-of-9 5.0 GB: 4-of-9 5.0 GB: 5-of-9 5.0 GB: 6-of-9 5.0 GB: 7-of-9 3.8 GB: 8-of-9 2.5 GB: 9-of-9
Supported Languages	th en
AWQ Quantization	Yes
Quantization Type	awq
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	float16
Errors	replace

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

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 72B Instruct AWQ	32K / 41.6 GB	1054752	78
Athene V2 Chat AWQ	32K / 41.6 GB	64	4
Qwen2 72B Instruct AWQ	32K / 41.6 GB	1612	41
Qwen2 72B Instruct AWQ GEMM	32K / 41.6 GB	5	0
Typhoon V1.5 72B Instruct AWQ	32K / 41.3 GB	11	3
...B Instruct 2.0bpw H Novel EXL2	125K / 23 GB	4	1
Qwen2 72B Instruct 4bit	32K / 40.9 GB	56	2
ECE ILAB Q1	32K / 77.8 GB	15	0
Qwen2.5 72B Instruct Bnb 4bit	32K / 41.4 GB	3470	8
Qwen2.5 72B Instruct 4bit	32K / 40.9 GB	1200	7

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