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Polyglot Ko 12.8B Chang Instruct Chat by lcw99

 »  All LLMs  »  lcw99  »  Polyglot Ko 12.8B Chang Instruct Chat   URL Share it on

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  Autotrain compatible   Endpoints compatible   Gpt neox   Instruct   Ko   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/lcw99/polyglot-ko-12.8b-chang-instruct-chat 

Polyglot Ko 12.8B Chang Instruct Chat Benchmarks

LLME Score: 0.12148
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Polyglot Ko 12.8B Chang Instruct Chat (lcw99/polyglot-ko-12.8b-chang-instruct-chat)

Polyglot Ko 12.8B Chang Instruct Chat Parameters and Internals

Model Type 
text generation, instruction following
Use Cases 
Areas:
instruction following
Applications:
business, technology
Primary Use Cases:
text generation for business planning
Supported Languages 
Korean (Native)
Input Output 
Accepted Modalities:
text
LLM NamePolyglot Ko 12.8B Chang Instruct Chat
Repository 🤗https://huggingface.co/lcw99/polyglot-ko-12.8b-chang-instruct-chat 
Model Size12.8b
Required VRAM25.9 GB
Updated2025-02-05
Maintainerlcw99
Model Typegpt_neox
Instruction-BasedYes
Model Files  10.0 GB: 1-of-3   9.9 GB: 2-of-3   6.0 GB: 3-of-3
Supported Languagesko
Model ArchitectureGPTNeoXForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.31.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|endoftext|>
Vocabulary Size30080
Torch Data Typefloat16

Best Alternatives to Polyglot Ko 12.8B Chang Instruct Chat

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Context / RAM
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Likes
Gollm 12.8B Instruct V2.32K / 25.9 GB62730
Polyglot Ko 12.8B Instruct2K / 25.9 GB31873
Gollm 12.8B Instruct V2.02K / 25.9 GB22860
Polyglot Ko 12.8B Instruct2K / 0.2 GB23012
...lm 12.8B Instruct Tendency T452K / 25.9 GB22970
Gollm 12.8B Instruct V2.12K / 25.9 GB690
Note: green Score (e.g. "73.2") means that the model is better than lcw99/polyglot-ko-12.8b-chang-instruct-chat.

Rank the Polyglot Ko 12.8B Chang Instruct Chat 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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Release v20241227
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