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ICKG V2.0 by victorlxh

 »  All LLMs  »  victorlxh  »  ICKG V2.0   URL Share it on

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ICKG V2.0 is an open-source language model by victorlxh. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, License: cc-by-nc-4.0, LLM Explorer Score: 0.09.

  Deploy:azure   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/victorlxh/ICKG-v2.0 

ICKG V2.0 Benchmarks

LLME Score: 0.09464
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ICKG V2.0 (victorlxh/ICKG-v2.0)
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ICKG V2.0 Parameters and Internals

Model Type 
Auto-regressive language model
Use Cases 
Areas:
Knowledge graph construction, Natural language processing
Applications:
Research, Data science, Development
Primary Use Cases:
Generating knowledge graphs based on specialized prompts
Training Details 
Data Volume:
~3K instruction-following demonstrations
Methodology:
Fine-tuning with prompt engineering
Model Architecture:
Based on the transformer architecture
LLM NameICKG V2.0
Repository 🤗https://huggingface.co/victorlxh/ICKG-v2.0 
Model Size7b
Required VRAM13.5 GB
Updated2026-05-26
Maintainervictorlxh
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length4096
Model Max Length4096
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than victorlxh/ICKG-v2.0.

Rank the ICKG V2.0 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  

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