Carrot Ko 2B Instruct by CarrotAI

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  Autotrain compatible   Conversational Dataset:carrotai/ko-instructio...   Endpoints compatible   Instruct   Ko   Pytorch   Qwen2   Region:us

Carrot Ko 2B Instruct Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Carrot Ko 2B Instruct (CarrotAI/Carrot-Ko-2B-Instruct)

Carrot Ko 2B Instruct Parameters and Internals

Use Cases 
Applications:
chatbots, question-answering systems
Limitations:
Performance can vary based on task complexity and input specifics.
Considerations:
Users should evaluate the model thoroughly for specific contexts.
Additional Notes 
This model is still experimental and its performance is being evaluated.
Supported Languages 
ko (Korean)
Training Details 
Data Sources:
CarrotAI/ko-instruction-dataset
Methodology:
Fine-tuned using axolotl.
LLM NameCarrot Ko 2B Instruct
Repository ๐Ÿค—https://huggingface.co/CarrotAI/Carrot-Ko-2B-Instruct 
Model Size2b
Required VRAM4.2 GB
Updated2025-02-05
MaintainerCarrotAI
Model Typeqwen2
Instruction-BasedYes
Model Files  4.2 GB
Supported Languagesko
Model ArchitectureQwen2ForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.42.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Carrot Ko 2B Instruct

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Context / RAM
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Qwen2.5 2B Instruct32K / 5.9 GB231
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Note: green Score (e.g. "73.2") means that the model is better than CarrotAI/Carrot-Ko-2B-Instruct.

Rank the Carrot Ko 2B Instruct 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 v20241227