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").
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Test Parameters and Internals

LLM NameTest
Repository ๐Ÿค—https://huggingface.co/ZeroWw/Test 
Model Size8b
Required VRAM7.6 GB
Updated2025-06-09
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
Test (ZeroWw/Test)

Best Alternatives to Test

Best Alternatives
Context / RAM
Downloads
Likes
Model32K / 30.6 GB150
FTAudit Vuln Llama3 8B V0.332K / 4.1 GB110
Phi3 Mini 4bit COIG CQIA4K / 2.3 GB150
Ministral 8B Instruct 2410 HF32K / 32 GB9110
Ministrations 8B V132K / 16.1 GB2220
Ministral 8B Slerp32K / 29.2 GB70
DeepOpus 1 8B Preview32K / 16.1 GB752
DeepNeo 1 8B Preview32K / 16.1 GB632
Bigger Body 8B32K / 16.1 GB115
Forgotten Safeword 8B V2.232K / 16.1 GB61
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 v20241124