Test by ZeroWw

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Model Card on HF ๐Ÿค—: https://huggingface.co/ZeroWw/Test 

Test Benchmarks

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

Test Parameters and Internals

LLM NameTest
Repository ๐Ÿค—https://huggingface.co/ZeroWw/Test 
Model Size8b
Required VRAM7.6 GB
Updated2025-02-22
MaintainerZeroWw
Model Typemistral
Instruction-BasedYes
Model Files  16.1 GB   7.0 GB   7.8 GB   8.5 GB   14.5 GB   4.3 GB   4.5 GB   5.5 GB   6.3 GB   7.7 GB   5.1 GB   6.0 GB   27.9 GB   10.5 GB   11.8 GB   14.8 GB   7.6 GB   3.1 GB   3.4 GB   4.1 GB   14.5 GB   5.5 GB   6.2 GB   7.7 GB   14.5 GB   5.5 GB   6.2 GB   7.7 GB   17.1 GB   7.1 GB   7.9 GB   9.1 GB   17.1 GB   7.1 GB   7.9 GB   9.1 GB   5.0 GB: 1-of-2   2.6 GB: 2-of-2
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.41.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typefloat16

Best Alternatives to Test

Best Alternatives
Context / RAM
Downloads
Likes
Model32K / 30.6 GB60
FTAudit Vuln Llama3 8B V0.332K / 4.1 GB220
Phi3 Mini 4bit COIG CQIA4K / 2.3 GB60
Ministral 8B Instruct 2410 HF32K / 32 GB19710
Ministrations 8B V132K / 16.1 GB6518
Bigger Body 8B32K / 16.1 GB392
DeepNeo 1 8B Preview32K / 16.1 GB212
Reflect Single Mini8B SftT1232K / 16.1 GB2560
Ministral 8B Slerp32K / 29.2 GB70
...ic Mini8bT0GtT1MstllrgT2 SftT232K / 16.1 GB1560
Note: green Score (e.g. "73.2") means that the model is better than ZeroWw/Test.

Rank the Test 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 v20241227