Taiwan LLM 13B V2.0 Chat AWQ by yentinglin

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  Arxiv:2311.17487   4-bit   Autotrain compatible   Awq Base model:quantized:yentingli... Base model:yentinglin/taiwan-l...   Conversational   Finetuned   Llama   Quantized   Region:us   Safetensors   Zh

Taiwan LLM 13B V2.0 Chat AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Taiwan LLM 13B V2.0 Chat AWQ (yentinglin/Taiwan-LLM-13B-v2.0-chat-awq)
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Taiwan LLM 13B V2.0 Chat AWQ Parameters and Internals

Model Type 
llama, text-generation
Use Cases 
Areas:
text generation, language understanding
Additional Notes 
AWQ uses efficient low-bit weight quantization for faster inference with Nvidia GPUs.
Supported Languages 
zh-tw (Traditional Chinese), supports_comprehension (High), supports_generation (High)
Training Details 
Data Sources:
publicly available datasets, synthetic datasets
Methodology:
fine-tuned
Hardware Used:
multi-GPU setup
Model Architecture:
GPT-like
Input Output 
Accepted Modalities:
text
LLM NameTaiwan LLM 13B V2.0 Chat AWQ
Repository ๐Ÿค—https://huggingface.co/yentinglin/Taiwan-LLM-13B-v2.0-chat-awq 
Model NameTaiwan-LLM-13B-v2.0
Model Creatoryentinglin
Base Model(s)  yentinglin/Taiwan-LLM-13B-v2.0-chat   yentinglin/Taiwan-LLM-13B-v2.0-chat
Model Size13b
Required VRAM7.2 GB
Updated2025-08-22
Maintaineryentinglin
Model Typellama
Model Files  7.2 GB
Supported Languageszh
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.37.0.dev0
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 yentinglin/Taiwan-LLM-13B-v2.0-chat-awq.

Rank the Taiwan LLM 13B V2.0 Chat AWQ 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 v20241124