Microsoft WizardLM 2 7B EXL2 5bpw by KLMFOREVER

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  Arxiv:2304.12244   Arxiv:2306.08568   Arxiv:2308.09583   Autotrain compatible   Endpoints compatible   Exl2   Mistral   Quantized   Region:us   Safetensors

Microsoft WizardLM 2 7B EXL2 5bpw Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Microsoft WizardLM 2 7B EXL2 5bpw (KLMFOREVER/microsoft_WizardLM-2-7B-exl2-5bpw)

Microsoft WizardLM 2 7B EXL2 5bpw Parameters and Internals

Model Type 
Large Language Model
Supported Languages 
Multilingual (Proficient)
Input Output 
Input Format:
A chat between a user and an AI assistant in a multi-turn conversation format.
Accepted Modalities:
text
Output Format:
Polite and detailed answers to questions.
LLM NameMicrosoft WizardLM 2 7B EXL2 5bpw
Repository ๐Ÿค—https://huggingface.co/KLMFOREVER/microsoft_WizardLM-2-7B-exl2-5bpw 
Model Size7b
Required VRAM4.7 GB
Updated2025-02-22
MaintainerKLMFOREVER
Model Typemistral
Model Files  4.7 GB
Quantization Typeexl2
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than KLMFOREVER/microsoft_WizardLM-2-7B-exl2-5bpw.

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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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227