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Platypus Yi 34B GGUF by TheBloke

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Base model:bhenrym14/platypus-... Base model:quantized:bhenrym14... Dataset:garage-baind/open-plat...   Gguf   Llama   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/platypus-yi-34b-GGUF 

Platypus Yi 34B GGUF Benchmarks

LLME Score: 0.12431
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Platypus Yi 34B GGUF (TheBloke/platypus-yi-34b-GGUF)
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Platypus Yi 34B GGUF Parameters and Internals

Model Type 
llama
Training Details 
Data Sources:
garage-bAInd/Open-Platypus
Methodology:
Instruction tuning with Open-Platypus dataset. This is a QLoRA fine-tune (rank 64).
Context Length:
16384
Training Time:
About 18 hours on 1x RTX 6000 Ada.
Hardware Used:
1x RTX 6000 Ada
Model Architecture:
Llama2 model definitions and tokenizer used.
Input Output 
Input Format:
A chat. USER: {prompt} ASSISTANT:
LLM NamePlatypus Yi 34B GGUF
Repository 🤗https://huggingface.co/TheBloke/platypus-yi-34b-GGUF 
Model NamePlatypus Yi 34B
Model CreatorBrandon
Base Model(s)  Platypus Yi 34B   bhenrym14/platypus-yi-34b
Model Size34b
Required VRAM14.6 GB
Updated2025-08-18
MaintainerTheBloke
Model Typellama
Model Files  14.6 GB   18.1 GB   16.6 GB   15.0 GB   19.5 GB   20.7 GB   19.5 GB   23.7 GB   24.3 GB   23.7 GB   28.2 GB   36.5 GB
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/platypus-yi-34b-GGUF.

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