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

KULLM3 AWQ by taeminlee

 »  All LLMs  »  taeminlee  »  KULLM3 AWQ   URL Share it on

  120   
  4-bit   Autotrain compatible   Awq   Base model:nlpai-lab/kullm3 Base model:quantized:nlpai-lab...   Conversational   En   Endpoints compatible   Ko   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/taeminlee/KULLM3-awq 

KULLM3 AWQ Benchmarks

LLME Score: 0.19442
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
KULLM3 AWQ (taeminlee/KULLM3-awq)

KULLM3 AWQ Parameters and Internals

Model Type 
language model
Additional Notes 
The model's quantization was carried out in a custom branch of AutoAWQ and works using vllm. It may not work with other frameworks as they were not tested.
Supported Languages 
Korean (high proficiency), English (high proficiency)
Training Details 
Data Sources:
vicgalle/alpaca-gpt4, Mixed Korean instruction data (gpt-generated, hand-crafted, etc)
Data Volume:
66000+ examples
Input Output 
Performance Tips:
Without system prompt used in the training phase, KULLM would show lower performance than expected.
LLM NameKULLM3 AWQ
Repository 🤗https://huggingface.co/taeminlee/KULLM3-awq 
Base Model(s)  KULLM3   upstage/SOLAR-10.7B-v1.0   nlpai-lab/KULLM3   upstage/SOLAR-10.7B-v1.0
Model Size10.7b
Required VRAM6 GB
Updated2024-12-21
Maintainertaeminlee
Model Typellama
Model Files  5.0 GB: 1-of-2   1.0 GB: 2-of-2
Supported Languagesen ko
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length4096
Model Max Length4096
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

Best Alternatives to KULLM3 AWQ

Best Alternatives
Context / RAM
Downloads
Likes
STOCK SOLAR 10.7B AWQ4K / 6 GB140
Tess 10.7B V1.5B AWQ4K / 6 GB284
Nous Hermes 2 SOLAR 10.7B AWQ4K / 6 GB3910
SOLAR 10.7B Instruct V1.0 AWQ4K / 6 GB1995
Sensualize Solar 10.7B AWQ4K / 6 GB242
CarbonVillain En 10.7B V4 AWQ4K / 6 GB121
LMCocktail 10.7B V1 AWQ4K / 6 GB191
Frostwind 10.7B V1 AWQ4K / 6 GB281
Solar 10.7B SLERP AWQ4K / 6 GB411
SOLAR Platypus 10.7B V2 AWQ4K / 6 GB222
Note: green Score (e.g. "73.2") means that the model is better than taeminlee/KULLM3-awq.

Rank the KULLM3 AWQ 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? 40013 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 v20241217
  Support LLM Explorer