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Wukong Yi 6B 200K by RESMPDEV

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Wukong Yi 6B 200K is an open-source language model by RESMPDEV. Features: 6b LLM, VRAM: 12.1GB, Context: 195K, License: apache-2.0, LLM Explorer Score: 0.13.

  Arxiv:2311.16502   Arxiv:2401.11944   Arxiv:2403.04652   Conversational Dataset:cognitivecomputations/...   Endpoints compatible   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/RESMPDEV/Wukong-Yi-6B-200k 

Wukong Yi 6B 200K Benchmarks

LLME Score: 0.13288
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Wukong Yi 6B 200K (RESMPDEV/Wukong-Yi-6B-200k)
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Wukong Yi 6B 200K Parameters and Internals

Additional Notes 
The model is a finetune of the second iteration of the 6B base model by the Yi team.
Training Details 
Data Sources:
Cognitive Computations Dolphin 2.9
Methodology:
Dealigned chat finetune
Training Time:
3 epochs
Model Architecture:
Transformer
LLM NameWukong Yi 6B 200K
Repository 🤗https://huggingface.co/RESMPDEV/Wukong-Yi-6B-200k 
Model Size6b
Required VRAM12.1 GB
Updated2026-04-13
MaintainerRESMPDEV
Model Typellama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   2.2 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length200000
Model Max Length200000
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than RESMPDEV/Wukong-Yi-6B-200k.

Rank the Wukong Yi 6B 200K 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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