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ZeroShot Agents Llama3 4.0.11 SFT Merged by Weni

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  Autotrain compatible   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Weni/ZeroShot-Agents-Llama3-4.0.11-SFT-merged 

ZeroShot Agents Llama3 4.0.11 SFT Merged Benchmarks

LLME Score: 0.17653
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ZeroShot Agents Llama3 4.0.11 SFT Merged (Weni/ZeroShot-Agents-Llama3-4.0.11-SFT-merged)

ZeroShot Agents Llama3 4.0.11 SFT Merged Parameters and Internals

LLM NameZeroShot Agents Llama3 4.0.11 SFT Merged
Repository 🤗https://huggingface.co/Weni/ZeroShot-Agents-Llama3-4.0.11-SFT-merged 
Model Size8b
Required VRAM16.1 GB
Updated2025-06-01
MaintainerWeni
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat16

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...dger Nu Llama 3.1 8B UltraLong1048K / 16.2 GB573
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Note: green Score (e.g. "73.2") means that the model is better than Weni/ZeroShot-Agents-Llama3-4.0.11-SFT-merged.

Rank the ZeroShot Agents Llama3 4.0.11 SFT Merged 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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