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ECE PRYMMAL YL 6B SLERP V2 by lalainy

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ECE PRYMMAL YL 6B SLERP V2 is an open-source language model by lalainy. Features: 6b LLM, VRAM: 24.1GB, Context: 4K, License: apache-2.0, Merged, LLM Explorer Score: 0.22.

  Merged Model   Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/lalainy/ECE-PRYMMAL-YL-6B-SLERP-V2 

ECE PRYMMAL YL 6B SLERP V2 Benchmarks

MMLU Pro: 24.6
GPQA: 5.15
MUSR: 20.63
BBH: 24.52
IFEval: 32.49 vs 88 (so35)-63.1%
MATH Lvl 5: 12.69
LLME Score: 0.2204
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ECE PRYMMAL YL 6B SLERP V2 (lalainy/ECE-PRYMMAL-YL-6B-SLERP-V2)
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ECE PRYMMAL YL 6B SLERP V2 Parameters and Internals

LLM NameECE PRYMMAL YL 6B SLERP V2
Repository 🤗https://huggingface.co/lalainy/ECE-PRYMMAL-YL-6B-SLERP-V2 
Merged ModelYes
Model Size6b
Required VRAM24.1 GB
Updated2025-09-14
Maintainerlalainy
Model Typellama
Model Files  4.8 GB: 1-of-5   4.8 GB: 2-of-5   4.8 GB: 3-of-5   4.8 GB: 4-of-5   4.9 GB: 5-of-5
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.46.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typefloat32

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Rank the ECE PRYMMAL YL 6B SLERP V2 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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