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L3.1 RP Test by SvalTek

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  Autotrain compatible Base model:quantized:undi95/me... Base model:undi95/meta-llama-3...   Conversational Dataset:severian/internal-know...   En   Endpoints compatible   Gguf   Llama   Pytorch   Quantized   Region:us   Sharded   Unsloth

L3.1 RP Test Benchmarks

LLME Score: 0.24054
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

L3.1 RP Test Parameters and Internals

LLM NameL3.1 RP Test
Repository 🤗https://huggingface.co/SvalTek/L3.1-RP-test 
Base Model(s)  Undi95/Meta-Llama-3.1-8B-Claude   Undi95/Meta-Llama-3.1-8B-Claude
Model Size8b
Required VRAM16.1 GB
Updated2024-09-16
MaintainerSvalTek
Model Typellama
Model Files  16.1 GB   4.9 GB   5.7 GB   8.5 GB   5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.43.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat16
L3.1 RP Test (SvalTek/L3.1-RP-test)

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Note: green Score (e.g. "73.2") means that the model is better than SvalTek/L3.1-RP-test.

Rank the L3.1 RP 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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Release v2024072803
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