Yi 34B 200K DARE Megamerge V8 GGUF by TheBloke

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  Arxiv:2306.01708   Arxiv:2311.03099 Base model:brucethemoose/yi-34... Base model:quantized:brucethem...   En   Gguf   Merge   Mergekit   Quantized   Region:us   Yi

Yi 34B 200K DARE Megamerge V8 GGUF Benchmarks

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 DARE Megamerge V8 GGUF (TheBloke/Yi-34B-200K-DARE-megamerge-v8-GGUF)

Yi 34B 200K DARE Megamerge V8 GGUF Parameters and Internals

Model Type 
yi
Additional Notes 
It includes a unique merging method for better context performance without finetuning. Considerations for running this model include special quantization methods and context limitations.
Supported Languages 
en (English)
Input Output 
Input Format:
SYSTEM: {system_message} USER: {prompt} ASSISTANT:
Accepted Modalities:
text
Output Format:
text
LLM NameYi 34B 200K DARE Megamerge V8 GGUF
Repository ๐Ÿค—https://huggingface.co/TheBloke/Yi-34B-200K-DARE-megamerge-v8-GGUF 
Model NameYi 34B 200K DARE MegaMerge V8
Model Creatorbrucethemoose
Base Model(s)  Yi 34B 200K DARE Megamerge V8   brucethemoose/Yi-34B-200K-DARE-megamerge-v8
Model Size34b
Required VRAM9.3 GB
Updated2024-12-22
MaintainerTheBloke
Model Typeyi
Model Files  10.3 GB   9.3 GB   12.8 GB   11.8 GB   18.1 GB   16.7 GB   15.0 GB   19.5 GB   20.7 GB   19.6 GB   23.7 GB   24.3 GB   23.7 GB   28.2 GB   36.5 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseother

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Yi-34B-200K-DARE-megamerge-v8-GGUF.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217