Samantha 1.1 Westlake 7B Laser AWQ by solidrust

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Samantha 1.1 Westlake 7B 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   Conversational Dataset:cognitivecomputations/...   Endpoints compatible   Finetuned   Mistral   Pytorch   Quantized   Region:us   Safetensors

Samantha 1.1 Westlake 7B 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").
Samantha 1.1 Westlake 7B Laser AWQ (solidrust/samantha-1.1-westlake-7b-laser-AWQ)
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Samantha 1.1 Westlake 7B Laser AWQ Parameters and Internals

LLM NameSamantha 1.1 Westlake 7B Laser AWQ
Repository ๐Ÿค—https://huggingface.co/solidrust/samantha-1.1-westlake-7b-laser-AWQ 
Model NameSamantha 1.1 WestLake 7B - AWQ
Model Creatorcognitivecomputations
Base Model(s)  cognitivecomputations/WestLake-7B-v2   cognitivecomputations/WestLake-7B-v2
Model Size7b
Required VRAM4.2 GB
Updated2026-03-28
Maintainersolidrust
Model Typemistral
Model Files  4.2 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32002
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than solidrust/samantha-1.1-westlake-7b-laser-AWQ.

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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