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AlgograpV4 by algograp-Inc

 »  All LLMs  »  algograp-Inc  »  AlgograpV4   URL Share it on

  1702   
  Arxiv:2312.15166   Autotrain compatible   Conversational   Endpoints compatible   Instruct   Ko   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/algograp-Inc/algograpV4 

AlgograpV4 Benchmarks

LLME Score: 0.18577
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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AlgograpV4 Parameters and Internals

Supported Languages 
ko (proficient)
Training Details 
Methodology:
This model was trained using the learning method introduced in the SOLAR paper.
Hardware Used:
H100x4 * 1
LLM NameAlgograpV4
Repository 🤗https://huggingface.co/algograp-Inc/algograpV4 
Model Size10.8b
Required VRAM43.2 GB
Updated2025-06-10
Maintaineralgograp-Inc
Model Typellama
Instruction-BasedYes
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
Supported Languagesko
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length4096
Model Max Length4096
Transformers Version4.38.1
Tokenizer ClassLlamaTokenizer
Padding Token<|im_end|>
Vocabulary Size40960
Torch Data Typefloat32
AlgograpV4 (algograp-Inc/algograpV4)

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Note: green Score (e.g. "73.2") means that the model is better than algograp-Inc/algograpV4.

Rank the AlgograpV4 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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