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WizardLM 2 7B AWQ by alexlangshur

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  4-bit   Autotrain compatible   Awq Base model:microsoft/wizardlm-... Base model:quantized:microsoft...   En   Endpoints compatible   Finetuned   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/alexlangshur/WizardLM-2-7B-AWQ 

WizardLM 2 7B AWQ Benchmarks

LLME Score: 0.14949
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
WizardLM 2 7B AWQ (alexlangshur/WizardLM-2-7B-AWQ)
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WizardLM 2 7B AWQ Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model has been quantized with 4-bit AWQ for efficiency.
Supported Languages 
en (fluent)
Input Output 
Accepted Modalities:
text
LLM NameWizardLM 2 7B AWQ
Repository 🤗https://huggingface.co/alexlangshur/WizardLM-2-7B-AWQ 
Model NameWizardLM-2-7B-AWQ
Model Creatormicrosoft
Base Model(s)  microsoft/WizardLM-2-7B   microsoft/WizardLM-2-7B
Model Size7b
Required VRAM4.2 GB
Updated2025-09-23
Maintaineralexlangshur
Model Typemistral
Model Files  4.2 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
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 alexlangshur/WizardLM-2-7B-AWQ.

Rank the WizardLM 2 7B 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 v20241124
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