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Platypus Yi 34B GPTQ by TheBloke

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  4-bit   Autotrain compatible Base model:bhenrym14/platypus-... Base model:quantized:bhenrym14... Dataset:garage-baind/open-plat...   Gptq   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/platypus-yi-34b-GPTQ 

Platypus Yi 34B GPTQ Benchmarks

LLME Score: 0.12399
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 GPTQ (TheBloke/platypus-yi-34b-GPTQ)
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Platypus Yi 34B GPTQ Parameters and Internals

Model Type 
LLM, GPTQ
Additional Notes 
This model is a QLoRA fine-tune with GPTQ, quantized by TheBloke with support and resources from multiple contributors
Training Details 
Data Sources:
garage-bAInd/Open-Platypus
Methodology:
Instruction tuning with Open-Platypus dataset, using legacy airoboros <2.0 system prompt
Training Time:
~18 hours (1 epoch)
Hardware Used:
1x RTX 6000 Ada
Model Architecture:
LLama-style architecture with instruction tuning
Input Output 
Input Format:
A chat. USER: {prompt} ASSISTANT:
Accepted Modalities:
text
Output Format:
Generated text
LLM NamePlatypus Yi 34B GPTQ
Repository 🤗https://huggingface.co/TheBloke/platypus-yi-34b-GPTQ 
Model NamePlatypus Yi 34B
Model CreatorBrandon
Base Model(s)  Platypus Yi 34B   bhenrym14/platypus-yi-34b
Model Size34b
Required VRAM18.6 GB
Updated2025-08-18
MaintainerTheBloke
Model Typellama
Model Files  18.6 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.35.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/platypus-yi-34b-GPTQ.

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Instruction Following and Task Automation  
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