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Openzeka Llm Beta by OPENZEKA

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  Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/llama-3....   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow   Tr
Model Card on HF 🤗: https://huggingface.co/OPENZEKA/openzeka_llm_beta 

Openzeka Llm Beta Benchmarks

LLME Score: 0.16239
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Openzeka Llm Beta (OPENZEKA/openzeka_llm_beta)
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Openzeka Llm Beta Parameters and Internals

Model Type 
causal language model
Additional Notes 
Check the model's repository or documentation for additional details.
LLM NameOpenzeka Llm Beta
Repository 🤗https://huggingface.co/OPENZEKA/openzeka_llm_beta 
Base Model(s)  meta-llama/Llama-3.1-8B-Instruct   meta-llama/Llama-3.1-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2025-08-26
MaintainerOPENZEKA
Model Typellama
Instruction-BasedYes
Model Files  2.0 GB: 1-of-9   1.9 GB: 2-of-9   2.0 GB: 3-of-9   1.9 GB: 4-of-9   2.0 GB: 5-of-9   1.9 GB: 6-of-9   2.0 GB: 7-of-9   1.3 GB: 8-of-9   1.1 GB: 9-of-9
Supported Languagestr
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length8192
Model Max Length8192
Transformers Version4.41.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Zero Llama 3.1 8B Beta61048K / 16.1 GB2291
...dger Nu Llama 3.1 8B UltraLong1048K / 16.2 GB193
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Note: green Score (e.g. "73.2") means that the model is better than OPENZEKA/openzeka_llm_beta.

Rank the Openzeka Llm Beta 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
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