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EEVE Korean 10.8B RAFT by ai-human-lab

 »  All LLMs  »  ai-human-lab  »  EEVE Korean 10.8B RAFT   URL Share it on

  4775   
  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ai-human-lab/EEVE-Korean-10.8B-RAFT 

EEVE Korean 10.8B RAFT Benchmarks

LLME Score: 0.25079
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
EEVE Korean 10.8B RAFT (ai-human-lab/EEVE-Korean-10.8B-RAFT)

EEVE Korean 10.8B RAFT Parameters and Internals

LLM NameEEVE Korean 10.8B RAFT
Repository 🤗https://huggingface.co/ai-human-lab/EEVE-Korean-10.8B-RAFT 
Model Size10.8b
Required VRAM43.2 GB
Updated2024-12-08
Maintainerai-human-lab
Model Typellama
Model Files  4.8 GB: 1-of-9   5.0 GB: 2-of-9   5.0 GB: 3-of-9   4.8 GB: 4-of-9   5.0 GB: 5-of-9   5.0 GB: 6-of-9   4.8 GB: 7-of-9   5.0 GB: 8-of-9   3.8 GB: 9-of-9
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size40962
Torch Data Typefloat32

Best Alternatives to EEVE Korean 10.8B RAFT

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...Korean Instruct 10.8B V1.0 32K32K / 21.6 GB8210
EEVE Korean 10.8B V1.0 16K16K / 21.6 GB210
...EVE Korean Instruct 10.8B V1.04K / 21.6 GB26192137
...Judgment Transducer 10.8B V2.04K / 21.6 GB1200
T3Q LLM1 CV V1.04K / 21.6 GB96570
T3Q LLM1 CV V2.04K / 21.6 GB50170
EEVE Ver 4.1 Sft4K / 21.6 GB50160
T3Q LLM Sft1.0 Dpo1.04K / 21.6 GB50300
T3Q LLM Solar10.8 Sft V1.04K / 21.6 GB50160
AlgograpV44K / 43.2 GB50230
Note: green Score (e.g. "73.2") means that the model is better than ai-human-lab/EEVE-Korean-10.8B-RAFT.

Rank the EEVE Korean 10.8B RAFT 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 v20241124
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