Name: WestLake 7B V2
Author: senseable

WestLake 7B V2 is an open-source language model by senseable. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, HF Score: 74.7, LLM Explorer Score: 0.18, Arc: 73, HellaSwag: 88.7, MMLU: 64.7, TruthfulQA: 67.1, WinoGrande: 87, GSM8K: 67.6.

Deploy:azure En Endpoints compatible Mistral Model-index Region:us Safetensors Sharded Tensorflow

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

WestLake 7B V2 Benchmarks

IFEval: 44.19 vs 88 (so35)^-49.8%

ARC: 73.04 vs 96.7 (so35)^-24.5%

HellaSwag: 88.65 vs 95.3 (gpt4)^-7%

MMLU: 64.71 vs 88.3 (so35)^-26.7%

TruthfulQA: 67.06 vs 59 (gpt4)^13.7%

WinoGrande: 86.98 vs 87.5 (gpt4)^-0.6%

GSM8K: 67.63 vs 96.4 (so35)^-29.8%

MATH Lvl 5: 4.83

LLME Score: 0.17737

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

WestLake 7B V2 (senseable/WestLake-7B-v2)

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WestLake 7B V2 Parameters and Internals

Model Type

text-generation

Use Cases

Areas:

Creative Writing, Education, Gaming, Customer Support, Social Media

Additional Notes

Welcome to the documentation of Westlake-7B, a cutting-edge language model designed for exceptional role-play and text generation tasks. This README file aims to provide an overview of our capabilities, usage guidelines, and potential applications.

Release Notes

Version:

Notes:

Version 2 trained 1 additional epoch cycle for 3 total

LLM Name	WestLake 7B V2
Repository 🤗	https://huggingface.co/senseable/WestLake-7B-v2
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-04-17
Maintainer	senseable
Model Type	mistral
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.36.1
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Quantized Models of the WestLake 7B V2

Model	Likes	Downloads	VRAM
WestLake 10.7B V2 GGUF	25	187	6 GB
WestLake 10.7B V2 EXL2 5.0	1	9	6 GB
WestLake 10.7B V2 EXL2 6.0	1	5	8 GB
WestLake 10.7B V2 EXL2 8.0	1	2	10 GB
WestLake 7B V2 GGUF	20	289	2 GB
WestLake 7B V2 Laser AWQ	1	7	4 GB
WestLake 7B V2 AWQ	4	25	4 GB
WestLake 7B V2 GPTQ	8	4	4 GB
WestLake 7B V2 AWQ	4	6	4 GB

Best Alternatives to WestLake 7B V2

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	254	20
MegaBeam Mistral 7B 512K	512K / 14.4 GB	11443	54
SpydazWeb AI HumanAI RP	512K / 14.4 GB	14	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
MegaBeam Mistral 7B 300K	282K / 14.4 GB	3779	16
MegaBeam Mistral 7B 300K	282K / 14.4 GB	7968	16
Hebrew Mistral 7B 200K	256K / 30 GB	1316	15
Astral 256K 7B V2	250K / 14.4 GB	6	0
Astral 256K 7B	250K / 14.4 GB	5	0

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

Rank the WestLake 7B V2 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

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Release v20260328a

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WestLake 7B V2 by senseable

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