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Taiwan LLM 7B V2.0.1 Chat by yentinglin

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Taiwan LLM 7B V2.0.1 Chat is an open-source language model by yentinglin. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.11.

  Arxiv:2311.17487   Conversational   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/yentinglin/Taiwan-LLM-7B-v2.0.1-chat 

Taiwan LLM 7B V2.0.1 Chat Benchmarks

LLME Score: 0.1055
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 V2.0.1 Chat (yentinglin/Taiwan-LLM-7B-v2.0.1-chat)
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Taiwan LLM 7B V2.0.1 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 V2.0.1 Chat
Repository 🤗https://huggingface.co/yentinglin/Taiwan-LLM-7B-v2.0.1-chat 
Model Size7b
Required VRAM13.5 GB
Updated2026-03-22
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

Quantized Models of the Taiwan LLM 7B V2.0.1 Chat

Model
Likes
Downloads
VRAM
Taiwan LLM 7B V2.0.1 Chat AWQ063 GB

Best Alternatives to Taiwan LLM 7B V2.0.1 Chat

Best Alternatives
Context / RAM
Downloads
Likes
1241024K / 16.1 GB930
1621024K / 16.1 GB600
1571024K / 16.1 GB1010
1181024K / 16.1 GB150
A5.41024K / 16.1 GB120
A6 L1024K / 16.1 GB2010
A3.41024K / 16.1 GB130
A2.41024K / 16.1 GB120
M1024K / 16.1 GB1270
2 Very Sci Fi1024K / 16.1 GB3170
Note: green Score (e.g. "73.2") means that the model is better than yentinglin/Taiwan-LLM-7B-v2.0.1-chat.

Rank the Taiwan LLM 7B V2.0.1 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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