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WestLake 7B V2 by senseable

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

WestLake 7B V2 Benchmarks

MMLU Pro: 19.6
GPQA: 3.58
MUSR: 7.48
BBH: 17.86
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: 0.24423
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
WestLake 7B V2 (senseable/WestLake-7B-v2)

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:
2
Notes:
Version 2 trained 1 additional epoch cycle for 3 total
LLM NameWestLake 7B V2
Repository 🤗https://huggingface.co/senseable/WestLake-7B-v2 
Model Size7b
Required VRAM14.4 GB
Updated2025-03-12
Maintainersenseable
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the WestLake 7B V2

Model
Likes
Downloads
VRAM
WestLake 10.7B V2 GGUF241956 GB
WestLake 7B V2 GGUF206082 GB
WestLake 10.7B V2 EXL2 8.011510 GB
WestLake 10.7B V2 EXL2 6.01158 GB
WestLake 10.7B V2 EXL2 5.01156 GB
WestLake 7B V2 Laser AWQ1234 GB
WestLake 7B V2 GPTQ8544 GB
WestLake 7B V2 AWQ4284 GB
WestLake 7B V2 AWQ4214 GB

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Context / RAM
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Likes
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...daz Web AI ChatML 512K Project512K / 14.5 GB120
MegaBeam Mistral 7B 300K282K / 14.4 GB382316
Hebrew Mistral 7B 200K256K / 30 GB2260615
Astral 256K 7B V2250K / 14.4 GB140
Astral 256K 7B250K / 14.4 GB60
Test001128K / 14.5 GB90
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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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