What are the hardware requirements for Typhoon 7B AWQ?

Typhoon 7B AWQ requires approximately 4.2 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 7B AWQ and how large is it?

Typhoon 7B AWQ is developed by TheBloke, a model with 7b 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 7B AWQ?

Typhoon 7B AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Typhoon 7B AWQ by TheBloke — VRAM 4.2GB, 32K context

Name: Typhoon 7B AWQ
Author: TheBloke

Typhoon 7B AWQ is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 4.2GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.1.

Arxiv:2312.13951 4-bit Awq Base model:quantized:typhoon-a... Base model:typhoon-ai/typhoon-... Mistral Pretrained Quantized Region:us Safetensors Th

Model Card on HF 🤗: https://huggingface.co/TheBloke/typhoon-7B-AWQ

Typhoon 7B AWQ Parameters and Internals

Model Type

text-generation, pretrained decoder-only

Use Cases

Areas:

text generation

Primary Use Cases:

Pretrained base model not tuned for specific instructions, recommended for use with one/few-shot learning or instruction fine-tuning

Limitations:

May generate harmful or inappropriate responses, No moderation mechanisms

Additional Notes

Not an instruction-tuned model.

Supported Languages

primary_languages (Thai)

Training Details

Data Sources:

All Thai dataset

Context Length:

4096

Input Output

Input Format:

Prompts

Accepted Modalities:

text

Output Format:

Text

Release Notes

Version:

AWQ

Notes:

Efficient, accurate, and fast low-bit weight quantization method supporting 4-bit quantization.

LLM Name	Typhoon 7B AWQ
Repository 🤗	https://huggingface.co/TheBloke/typhoon-7B-AWQ
Model Name	Typhoon 7B
Model Creator	SCB 10X
Base Model(s)	Typhoon 7B scb10x/typhoon-7b
Model Size	7b
Required VRAM	4.2 GB
Updated	2026-08-01
Maintainer	TheBloke
Model Type	mistral
Model Files	4.2 GB
Supported Languages	th
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	35219
Torch Data Type	float16

Rank the Typhoon 7B 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 7B AWQ

Best Alternatives	Context / RAM	Downloads	Likes
Mistral 7B Instruct V0.2 AWQ	32K / 4.2 GB	6	0
Mistral 7B Instruct V0.2 AWQ	32K / 4.2 GB	298182	52
Mistral 7B Instruct V0.3 AWQ	32K / 4.2 GB	5633	10
Mistral 7B Instruct V0.1 AWQ	32K / 4.2 GB	15461	2
Ghost 7B Alpha AWQ	32K / 4.2 GB	14	0
Tess 7B V2.0 AWQ	32K / 4.2 GB	1	1
...reeze 7B 32K Instruct V1.0 AWQ	32K / 4.7 GB	9	0
Breeze 7B Instruct V1.0 AWQ	32K / 4.6 GB	5	0
OpenHermes 2.5 Mistral 7B AWQ	32K / 4.2 GB	23691	21
NSFW DPO Noromaid 7B AWQ	32K / 4.2 GB	206	2

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/typhoon-7B-AWQ.