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Yi 34B 200K RPMerge by brucethemoose

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Yi 34B 200K RPMerge is an open-source language model by brucethemoose. Features: 34b LLM, VRAM: 68.9GB, Context: 195K, License: other, Quantized, Merged, LLM Explorer Score: 0.13.

  Merged Model   Arxiv:2306.01708   Arxiv:2311.03099   En   Endpoints compatible   Exl2   Exllama   Exllamav2   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Yi
Model Card on HF 🤗: https://huggingface.co/brucethemoose/Yi-34B-200K-RPMerge 

Yi 34B 200K RPMerge Benchmarks

LLME Score: 0.132
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Yi 34B 200K RPMerge (brucethemoose/Yi-34B-200K-RPMerge)
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Yi 34B 200K RPMerge Parameters and Internals

Model Type 
text generation, storytelling
Use Cases 
Areas:
storytelling, roleplay, creative writing
Primary Use Cases:
narrative continuations, multi-character stories
Limitations:
Not suitable for chat-style roleplay testing
Additional Notes 
Efficient operations with exllamav2, requires adjustments in backend configurations for high context settings.
Supported Languages 
en (high proficiency)
Training Details 
Data Sources:
Vicuna-format models, Roleplaying data, Base Yi model
Methodology:
Merge using DARE TIES method
Context Length:
200000
Training Time:
Not specified
Hardware Used:
A100, MI300
Model Architecture:
Hybrid Merge of Vicuna and Alpaca format models with roleplaying enhancements
Input Output 
Input Format:
SYSTEM: {system_message} USER: {prompt} ASSISTANT:
Accepted Modalities:
text
Output Format:
Text responses
Performance Tips:
Use quadratic sampling with smoothing factor for optimal performance. Adjust temperature and sampling parameters based on output requirements.
Release Notes 
Version:
RPMerge
Date:
2023-11-01
Notes:
Merge of several Yi 34B models optimized for storytelling with a focus on extended context capabilities. Includes Vicuna-format models for enhanced instruction-following.
LLM NameYi 34B 200K RPMerge
Repository 🤗https://huggingface.co/brucethemoose/Yi-34B-200K-RPMerge 
Merged ModelYes
Model Size34b
Required VRAM68.9 GB
Updated2026-02-02
Maintainerbrucethemoose
Model Typellama
Model Files  9.9 GB: 1-of-7   9.9 GB: 2-of-7   10.0 GB: 3-of-7   9.8 GB: 4-of-7   9.8 GB: 5-of-7   9.8 GB: 6-of-7   9.7 GB: 7-of-7
Supported Languagesen
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length200000
Model Max Length200000
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64002
Torch Data Typebfloat16

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34B Beta 4.0bpw H6 EXL2195K / 18.1 GB81
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Note: green Score (e.g. "73.2") means that the model is better than brucethemoose/Yi-34B-200K-RPMerge.

Rank the Yi 34B 200K RPMerge 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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