ReWiz 7B by theprint

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ReWiz 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

ReWiz 7B Parameters and Internals

LLM NameReWiz 7B
Repository ๐Ÿค—https://huggingface.co/theprint/ReWiz-7B 
Base Model(s)  unsloth/mistral-7b-instruct-v0.3-bnb-4bit   unsloth/mistral-7b-instruct-v0.3-bnb-4bit
Model Size7b
Required VRAM14.5 GB
Updated2024-11-21
Maintainertheprint
Instruction-BasedYes
Model Files  14.5 GB   2.7 GB   3.5 GB   3.2 GB   4.4 GB   4.1 GB   5.1 GB   6.0 GB   7.7 GB   0.1 GB   5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
GGUF QuantizationYes
Quantization Type4bit|gguf
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length32768
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token[control_768]
PEFT TypeLORA
LoRA ModelYes
PEFT Target Moduleso_proj|k_proj|v_proj|down_proj|q_proj|gate_proj|up_proj
LoRA Alpha16
LoRA Dropout0
R Param8
ReWiz 7B (theprint/ReWiz-7B)

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Note: green Score (e.g. "73.2") means that the model is better than theprint/ReWiz-7B.

Rank the ReWiz 7B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110