Taiwan LLM 8x7B DPO by yentinglin

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Taiwan LLM 8x7B DPO is an open-source language model by yentinglin. Features: 46.7b LLM, VRAM: 90GB, Context: 32K, License: apache-2.0, MoE, HF Score: 73.1, LLM Explorer Score: 0.13, Arc: 71, HellaSwag: 87.2, MMLU: 72.4, TruthfulQA: 54.9, WinoGrande: 81.9, GSM8K: 71.1.

  Arxiv:2311.17487   Autotrain compatible   Conversational   Endpoints compatible   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow   Zh

Taiwan LLM 8x7B DPO Benchmarks

Taiwan LLM 8x7B DPO (yentinglin/Taiwan-LLM-8x7B-DPO)
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Taiwan LLM 8x7B DPO Parameters and Internals

Model Type 
Mixtral MoE, text generation, fine-tuned
Supported Languages 
Traditional Chinese (primary (zh-tw))
LLM NameTaiwan LLM 8x7B DPO
Repository ๐Ÿค—https://huggingface.co/yentinglin/Taiwan-LLM-8x7B-DPO 
Model Size46.7b
Required VRAM90 GB
Updated2025-11-11
Maintaineryentinglin
Model Typemixtral
Model Files  2.0 GB: 1-of-48   2.0 GB: 2-of-48   2.0 GB: 3-of-48   2.0 GB: 4-of-48   2.0 GB: 5-of-48   2.0 GB: 6-of-48   2.0 GB: 7-of-48   2.0 GB: 8-of-48   2.0 GB: 9-of-48   2.0 GB: 10-of-48   2.0 GB: 11-of-48   2.0 GB: 12-of-48   2.0 GB: 13-of-48   2.0 GB: 14-of-48   2.0 GB: 15-of-48   2.0 GB: 16-of-48   2.0 GB: 17-of-48   2.0 GB: 18-of-48   2.0 GB: 19-of-48   2.0 GB: 20-of-48   2.0 GB: 21-of-48   2.0 GB: 22-of-48   2.0 GB: 23-of-48   2.0 GB: 24-of-48   2.0 GB: 25-of-48   2.0 GB: 26-of-48   2.0 GB: 27-of-48   2.0 GB: 28-of-48   2.0 GB: 29-of-48   2.0 GB: 30-of-48   2.0 GB: 31-of-48   2.0 GB: 32-of-48   2.0 GB: 33-of-48   2.0 GB: 34-of-48   2.0 GB: 35-of-48   2.0 GB: 36-of-48   2.0 GB: 37-of-48   2.0 GB: 38-of-48   2.0 GB: 39-of-48   2.0 GB: 40-of-48   2.0 GB: 41-of-48   2.0 GB: 42-of-48   2.0 GB: 43-of-48   2.0 GB: 44-of-48   2.0 GB: 45-of-48
Supported Languageszh
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Vocabulary Size32002
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than yentinglin/Taiwan-LLM-8x7B-DPO.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Release v20260328a