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WestLake 7B V2 Laser by cognitivecomputations

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  Autotrain compatible   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/cognitivecomputations/WestLake-7B-v2-laser 

WestLake 7B V2 Laser Benchmarks

ARC: 73.29 vs 96.7 (so35)-24.2%
HellaSwag: 88.66 vs 95.3 (gpt4)-7%
MMLU: 64.72 vs 88.3 (so35)-26.7%
TruthfulQA: 67.04 vs 59 (gpt4)13.6%
WinoGrande: 86.74 vs 87.5 (gpt4)-0.9%
GSM8K: 68.23 vs 96.4 (so35)-29.2%
LLME Score: 0.17989
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 Laser (cognitivecomputations/WestLake-7B-v2-laser)
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WestLake 7B V2 Laser Parameters and Internals

Model Type 
text generation, signal-to-noise ratio analysis
Additional Notes 
This model version involves controlling layers based on signal-to-noise ratios and applying Laser interventions.
LLM NameWestLake 7B V2 Laser
Repository 🤗https://huggingface.co/cognitivecomputations/WestLake-7B-v2-laser 
Model Size7b
Required VRAM14.4 GB
Updated2025-07-13
Maintainercognitivecomputations
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.1
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 cognitivecomputations/WestLake-7B-v2-laser.

Rank the WestLake 7B V2 Laser Capabilities

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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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