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WestLake 7B V2 GPTQ by TheBloke

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WestLake 7B V2 GPTQ is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 4.2GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.11.

  4-bit Base model:quantized:senseable... Base model:senseable/westlake-...   En   Gptq   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/WestLake-7B-v2-GPTQ 

WestLake 7B V2 GPTQ Benchmarks

LLME Score: 0.11494
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 GPTQ (TheBloke/WestLake-7B-v2-GPTQ)
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WestLake 7B V2 GPTQ Parameters and Internals

Model Type 
mistral, text generation, role-play
Use Cases 
Areas:
Creative Writing, Education, Gaming, Customer Support, Social Media
Applications:
Role-Play, Text Generation
Primary Use Cases:
Generating stories, poems, essays, news articles
Considerations:
Provide clear and concise prompts for optimal performance
Additional Notes 
Designed for exceptional role-play and text generation tasks with emphasis on contextual understanding.
Supported Languages 
en (proficient)
Input Output 
Input Format:
{prompt}
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Incorporate a feedback loop to refine generated outputs
LLM NameWestLake 7B V2 GPTQ
Repository 🤗https://huggingface.co/TheBloke/WestLake-7B-v2-GPTQ 
Model NameWestlake 7B V2
Model CreatorCommon Sense
Base Model(s)  WestLake 7B V2   senseable/WestLake-7B-v2
Model Size7b
Required VRAM4.2 GB
Updated2026-04-16
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
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 TheBloke/WestLake-7B-v2-GPTQ.

Rank the WestLake 7B V2 GPTQ 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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