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Kiqu 70B AWQ by maywell

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Kiqu 70B AWQ is an open-source language model by maywell. Features: 70b LLM, VRAM: 36.7GB, Context: 31K, License: cc-by-sa-4.0, Quantized, LLM Explorer Score: 0.12.

  4-bit   Awq   Conversational   En   Endpoints compatible   Ko   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/maywell/kiqu-70b-awq 

Kiqu 70B AWQ Benchmarks

LLME Score: 0.11625
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Kiqu 70B AWQ (maywell/kiqu-70b-awq)
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Kiqu 70B AWQ Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, education
Applications:
chatbots, language translation
Primary Use Cases:
Korean language processing, conversion for chat applications
Considerations:
Few-shot usage is highly recommended and trailing spaces in instruction format should be avoided.
Additional Notes 
This is an early leaked version. Commercial usage is risky.
Supported Languages 
Korean (high), English (medium)
Training Details 
Data Sources:
Korean datasets
Methodology:
SFT+DPO training based on Miqu-70B-Alpaca-DPO
Model Architecture:
Follows Mistral format
Input Output 
Input Format:
[INST] {instruction} [/INST] {output}
Accepted Modalities:
text
Output Format:
text responses
Performance Tips:
Avoid trailing spaces after [/INST] to maintain performance.
LLM NameKiqu 70B AWQ
Repository 🤗https://huggingface.co/maywell/kiqu-70b-awq 
Model Size70b
Required VRAM36.7 GB
Updated2026-05-15
Maintainermaywell
Model Typellama
Model Files  5.0 GB: 1-of-8   5.0 GB: 2-of-8   4.9 GB: 3-of-8   4.9 GB: 4-of-8   4.9 GB: 5-of-8   4.9 GB: 6-of-8   4.9 GB: 7-of-8   2.2 GB: 8-of-8
Supported Languagesko en
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensecc-by-sa-4.0
Context Length32764
Model Max Length32764
Transformers Version4.37.2
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 maywell/kiqu-70b-awq.

Rank the Kiqu 70B 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  

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