YuLan Chat 2 13B GGUF by TheBloke

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Base model:quantized:yulan-tea... Base model:yulan-team/yulan-ch...   Fp16   Gguf   Llama   Quantized   Region:us

YuLan Chat 2 13B GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
YuLan Chat 2 13B GGUF (TheBloke/YuLan-Chat-2-13B-GGUF)
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YuLan Chat 2 13B GGUF Parameters and Internals

Model Type 
llama
Additional Notes 
YuLan-Chat models are built on LLaMA architecture and have undergone significant enhancements to support bilingual interactions in English and Chinese, with expanded vocabulary to improve performance.
Supported Languages 
English (high proficiency), Chinese (high proficiency)
Training Details 
Methodology:
Continually-pretraining and instruction-tuning LLaMA-2 with high-quality English and Chinese data.
Context Length:
8192
Input Output 
Input Format:
The following is a conversation between a human and an AI assistant namely YuLan, developed by GSAI, Renmin University of China. The AI assistant gives helpful, detailed, and polite answers to the user's questions. [|Human|]:{prompt} [|AI|]:
Accepted Modalities:
text
LLM NameYuLan Chat 2 13B GGUF
Repository ๐Ÿค—https://huggingface.co/TheBloke/YuLan-Chat-2-13B-GGUF 
Model NameYuLan Chat 2 13B
Model CreatorRUC-GSAI-YuLan
Base Model(s)  YuLan Chat 2 13B Fp16   yulan-team/YuLan-Chat-2-13b-fp16
Model Size13b
Required VRAM5.5 GB
Updated2025-09-17
MaintainerTheBloke
Model Typellama
Model Files  5.5 GB   7.0 GB   6.5 GB   5.8 GB   7.5 GB   8.0 GB   7.5 GB   9.1 GB   9.4 GB   9.1 GB   10.8 GB   14.0 GB
GGUF QuantizationYes
Quantization Typefp16|gguf
Model ArchitectureAutoModel
Licensemit

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/YuLan-Chat-2-13B-GGUF.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124