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KULLM3 by nlpai-lab

 »  All LLMs  »  nlpai-lab  »  KULLM3   URL Share it on

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KULLM3 is an open-source language model by nlpai-lab. Features: 10.7b LLM, VRAM: 21.4GB, Context: 4K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.13.

Base model:finetune:upstage/so... Base model:upstage/solar-10.7b...   Conversational   Deploy:azure   En   Endpoints compatible   Instruct   Ko   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nlpai-lab/KULLM3 

KULLM3 Benchmarks

LLME Score: 0.13109
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
KULLM3 (nlpai-lab/KULLM3)
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KULLM3 Parameters and Internals

Model Type 
language model, instruction-following
Additional Notes 
In transformers>=4.39.0, generate() does not work well (as of 2024.4.4).
Supported Languages 
Korean (fluent), English (fluent)
Training Details 
Data Sources:
vicgalle/alpaca-gpt4, Mixed Korean instruction data
Data Volume:
66000+ examples
Input Output 
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Without system prompt used in training phase, KULLM would show lower performance than expected.
LLM NameKULLM3
Repository 🤗https://huggingface.co/nlpai-lab/KULLM3 
Base Model(s)  upstage/SOLAR-10.7B-v1.0   upstage/SOLAR-10.7B-v1.0
Model Size10.7b
Required VRAM21.4 GB
Updated2026-05-19
Maintainernlpai-lab
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB: 1-of-5   5.0 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   1.7 GB: 5-of-5
Supported Languagesen ko
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.39.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

Best Alternatives to KULLM3

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Context / RAM
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Likes
SOLAR 10.7B Instruct V1.0 128K128K / 21.4 GB963
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SauerkrautLM SOLAR Instruct8K / 21.4 GB23446
MetaModelv28K / 21.4 GB1180
Kazemi 1.2 Solar8K / 21.4 GB00
SOLAR 10.7B Instruct V1.04K / 21.4 GB62146654
Somer24K / 21.4 GB110
SOLAR 10.7B Instruct V1.04K / 21.4 GB60
Solarmer34K / 21.4 GB80
Somer4K / 21.4 GB90
Note: green Score (e.g. "73.2") means that the model is better than nlpai-lab/KULLM3.

Rank the KULLM3 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 v20260328a
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