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WestLake 10.7B V2 by froggeric

 »  All LLMs  »  froggeric  »  WestLake 10.7B V2   URL Share it on

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  Merged Model   Autotrain compatible Base model:finetune:senseable/... Base model:senseable/westlake-...   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/froggeric/WestLake-10.7B-v2 

WestLake 10.7B V2 Benchmarks

ARC: 71.16 vs 96.7 (so35)-26.4%
HellaSwag: 87.93 vs 95.3 (gpt4)-7.7%
MMLU: 63.81 vs 88.3 (so35)-27.7%
TruthfulQA: 64.91 vs 59 (gpt4)10%
WinoGrande: 85.4 vs 87.5 (gpt4)-2.4%
GSM8K: 48.45 vs 96.4 (so35)-49.7%
LLME Score: 0.15516
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
WestLake 10.7B V2 (froggeric/WestLake-10.7B-v2)
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WestLake 10.7B V2 Parameters and Internals

Model Type 
role-play, text generation
Use Cases 
Areas:
creative writing, education, gaming, customer support, social media
Additional Notes 
The first viable self-merge model with improvements on WestLake-7B-v2.
Supported Languages 
en (fluent)
Training Details 
Methodology:
merge using mergekit with passthrough method
Context Length:
8192
Model Architecture:
layer ranges from WestLake-7B-v2
Input Output 
Input Format:
Alpaca, ChatML, Mistral Instruct, Zephyr
Performance Tips:
Larger context size may cause problems since it was trained with 8k context.
Release Notes 
Version:
2
Notes:
Trained 1 additional epoch cycle for 3 total
LLM NameWestLake 10.7B V2
Repository 🤗https://huggingface.co/froggeric/WestLake-10.7B-v2 
Base Model(s)  WestLake 7B V2   senseable/WestLake-7B-v2
Merged ModelYes
Model Size7b
Required VRAM21.4 GB
Updated2025-09-23
Maintainerfroggeric
Model Typemistral
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   1.6 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than froggeric/WestLake-10.7B-v2.

Rank the WestLake 10.7B 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 v20241124
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