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Taiwan LLM 7B V2.0 Chat by yentinglin

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Taiwan LLM 7B V2.0 Chat is an open-source language model by yentinglin. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.1.

  Arxiv:2311.17487   Conversational   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/yentinglin/Taiwan-LLM-7B-v2.0-chat 

Taiwan LLM 7B V2.0 Chat Benchmarks

LLME Score: 0.0998
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Taiwan LLM 7B V2.0 Chat (yentinglin/Taiwan-LLM-7B-v2.0-chat)
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Taiwan LLM 7B V2.0 Chat Parameters and Internals

Model Type 
text-generation, GPT-like model
Supported Languages 
Traditional Chinese (zh-tw) (Primary)
Training Details 
Data Sources:
publicly available datasets, synthetic datasets
Methodology:
Supervised Fine-Tuning
Model Architecture:
GPT-like
LLM NameTaiwan LLM 7B V2.0 Chat
Repository 🤗https://huggingface.co/yentinglin/Taiwan-LLM-7B-v2.0-chat 
Model Size7b
Required VRAM13.5 GB
Updated2026-02-17
Maintaineryentinglin
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Supported Languageszh
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than yentinglin/Taiwan-LLM-7B-v2.0-chat.

Rank the Taiwan LLM 7B V2.0 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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