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2 PRYMMAL ECE 7B SLERP V2 by Lil-R

 »  All LLMs  »  Lil-R  »  2 PRYMMAL ECE 7B SLERP V2   URL Share it on

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  Merged Model   Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Lil-R/2_PRYMMAL-ECE-7B-SLERP-V2 

2 PRYMMAL ECE 7B SLERP V2 Benchmarks

MMLU Pro: 1.37
GPQA: 0.11
MUSR: 7.32
BBH: 2.78
IFEval: 10.73 vs 88 (so35)-87.8%
MATH Lvl 5: 0.08
LLME Score: 0.21421
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
2 PRYMMAL ECE 7B SLERP V2 (Lil-R/2_PRYMMAL-ECE-7B-SLERP-V2)

2 PRYMMAL ECE 7B SLERP V2 Parameters and Internals

LLM Name2 PRYMMAL ECE 7B SLERP V2
Repository 🤗https://huggingface.co/Lil-R/2_PRYMMAL-ECE-7B-SLERP-V2 
Merged ModelYes
Model Size7b
Required VRAM30.5 GB
Updated2025-06-01
MaintainerLil-R
Model Typeqwen2
Model Files  5.0 GB: 1-of-7   4.8 GB: 2-of-7   4.9 GB: 3-of-7   4.9 GB: 4-of-7   5.0 GB: 5-of-7   3.7 GB: 6-of-7   2.2 GB: 7-of-7
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.46.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat32
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Lil-R/2_PRYMMAL-ECE-7B-SLERP-V2.

Rank the 2 PRYMMAL ECE 7B 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  
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Text Summarization and Feature Extraction  
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Release v20241227
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