What are the hardware requirements for WestLake 7B V2 GGUF?

WestLake 7B V2 GGUF requires approximately 2.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed WestLake 7B V2 GGUF and how large is it?

WestLake 7B V2 GGUF 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 WestLake 7B V2 GGUF?

WestLake 7B V2 GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

WestLake 7B V2 GGUF by TheBloke — VRAM 2.7GB

Name: WestLake 7B V2 GGUF
Author: TheBloke

WestLake 7B V2 GGUF is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 2.7GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.11.

Base model:quantized:senseable... Base model:senseable/westlake-... En Gguf Mistral Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/TheBloke/WestLake-7B-v2-GGUF

WestLake 7B V2 GGUF Parameters and Internals

Model Type

mistral

Use Cases

Areas:

creative writing, education, gaming, customer support, social media

Applications:

authors generating new ideas, interactive role-play scenarios, dynamic NPC interactions, chatbots, engaging content generation

Primary Use Cases:

Role-play, text generation

Additional Notes

Westlake 7B is built upon a vast corpus enabling it to generate contextually relevant responses. It excels in role-play and text generation tasks with an impressive size of 7 billion parameters.

Supported Languages

en (Full proficiency)

LLM Name	WestLake 7B V2 GGUF
Repository 🤗	https://huggingface.co/TheBloke/WestLake-7B-v2-GGUF
Model Name	Westlake 7B V2
Model Creator	Common Sense
Base Model(s)	WestLake 7B V2 senseable/WestLake-7B-v2
Model Size	7b
Required VRAM	2.7 GB
Updated	2026-08-08
Maintainer	TheBloke
Model Type	mistral
Model Files	2.7 GB 3.8 GB 3.5 GB 3.2 GB 4.1 GB 4.4 GB 4.1 GB 5.0 GB 5.1 GB 5.0 GB 5.9 GB 7.7 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	apache-2.0

Rank the WestLake 7B V2 GGUF 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 WestLake 7B V2 GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Pixel	8K / 4.4 GB	17	0
Qwen2 7B Alpacha Q8 0	0K / 9.1 GB	23	0
...ral 7B Instruct V0.2 Llamafile	0K / 14.5 GB	8850	25
Conversely Mistral 7B	0K / 0.2 GB	132	0
Mistral 7B Instruct V0.3 GGUF	0K / 1.6 GB	91691	147
CleverBoi 7B V2	0K / 0.1 GB	586	0
WizardLM 2 7B GGUF	0K / 2.7 GB	93547	83
Qwen2 7B Instruct GGUF	0K / 1.9 GB	56414	10
...hemeng Qwen Math 7b 24 1 100 1	0K / 15.2 GB	25	0
Mistral 7B Instruct V0.2 GGUF	0K / 3.1 GB	70243	511

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/WestLake-7B-v2-GGUF.