What are the hardware requirements for Swallow 7B AWQ?

Swallow 7B AWQ requires approximately 4.1 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Swallow 7B AWQ and how large is it?

Swallow 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 Swallow 7B AWQ?

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

Swallow 7B AWQ by TheBloke — VRAM 4.1GB, 4K context

Name: Swallow 7B AWQ
Author: TheBloke

Swallow 7B AWQ is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 4.1GB, Context: 4K, License: llama2, Quantized, LLM Explorer Score: 0.1.

4-bit Awq Base model:quantized:tokyotech... Base model:tokyotech-llm/swall... En Ja Llama Quantized Region:us Safetensors

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

Swallow 7B AWQ Parameters and Internals

Model Type

text-generation

Supported Languages

en (English), ja (Japanese)

Training Details

Data Sources:

Japanese Wikipedia, RefinedWeb, Swallow Corpus, The Pile

Context Length:

4096

Hardware Used:

Massed Compute's hardware

Model Architecture:

LLaMA-2

Input Output

Input Format:

{prompt}

Accepted Modalities:

text

LLM Name	Swallow 7B AWQ
Repository 🤗	https://huggingface.co/TheBloke/Swallow-7B-AWQ
Model Name	Swallow 7B
Model Creator	tokyotech-llm
Base Model(s)	Swallow 7B Hf tokyotech-llm/Swallow-7b-hf
Model Size	7b
Required VRAM	4.1 GB
Updated	2026-07-13
Maintainer	TheBloke
Model Type	llama
Model Files	4.1 GB
Supported Languages	en ja
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.35.2
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	43176
Torch Data Type	float16

Rank the Swallow 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 Swallow 7B AWQ

Best Alternatives	Context / RAM	Downloads	Likes
Smaugv0.1 AWQ	195K / 19.3 GB	9	1
Yarn Llama 2 7B 64K AWQ	64K / 3.9 GB	14	0
Calm2 7B Chat AWQ	32K / 4.4 GB	9	1
Llama 2 7B 32K Instruct AWQ	32K / 3.9 GB	3	2
... SWE Llama 7B Updated 4bit AWQ	16K / 3.9 GB	5	0
Pandalyst 7B V1.2 AWQ	16K / 3.9 GB	6	1
Tora Code 7B V1.0 AWQ	16K / 3.9 GB	5	0
...eechless Tora Code 7B V1.0 AWQ	16K / 3.9 GB	6	1
CodeLlama 7B Instruct AWQ	16K / 3.9 GB	278	4
Pandalyst 7B V1.1 AWQ	16K / 3.9 GB	11	1

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