WestLake 7B V2 Laser AWQ by solidrust

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WestLake 7B V2 Laser AWQ is an open-source language model by solidrust. Features: 7b LLM, VRAM: 4.2GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.12.

  4-bit   Autotrain compatible   Awq Base model:quantized:senseable... Base model:senseable/westlake-...   Conversational   En   Endpoints compatible   Finetuned   Mistral   Pytorch   Quantized   Region:us   Safetensors

WestLake 7B V2 Laser AWQ Benchmarks

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 AWQ Parameters and Internals

LLM NameWestLake 7B V2 Laser AWQ
Repository 🤗https://huggingface.co/solidrust/WestLake-7B-v2-laser-AWQ 
Model NameWestLake 7B v2
Model CreatorCommon Sense
Base Model(s)  WestLake 7B V2   senseable/WestLake-7B-v2
Model Size7b
Required VRAM4.2 GB
Updated2026-04-24
Maintainersolidrust
Model Typemistral
Model Files  4.2 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0
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 solidrust/WestLake-7B-v2-laser-AWQ.

Rank the WestLake 7B V2 Laser AWQ 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 v20260328a