LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

AlgograpV4 by algograp-Inc

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

  1564   
  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: 0.18488
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
🌟 Advertise your project 🚀

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
Updated2025-06-09
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)

Best Alternatives to AlgograpV4

Best Alternatives
Context / RAM
Downloads
Likes
...Korean Instruct 10.8B V1.0 32K32K / 21.6 GB1210
...EVE Korean Instruct 10.8B V1.04K / 21.6 GB14777155
...Judgment Transducer 10.8B V2.04K / 21.6 GB150
Eeve Leaderboard Inst V1.54K / 21.6 GB21570
Hkcode Meta QA54K / 21.6 GB100
Eeve DPO V34K / 21.6 GB16061
...struct 10.8B V1.0 Empathy V0.14K / 21.6 GB180
EEVE Korean Instruct 10.8B Var4K / 21.6 GB144
EEVE 10.8 BOOK V0.14K / 21.6 GB171
EEVE Instruct Math 10.8B4K / 21.6 GB183
Note: green Score (e.g. "73.2") means that the model is better than algograp-Inc/algograpV4.

Rank the AlgograpV4 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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  

What open-source LLMs or SLMs are you in search of? 48046 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
  Support LLM Explorer