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Platypus Yi 34B AWQ by TheBloke

 »  All LLMs  »  TheBloke  »  Platypus Yi 34B AWQ   URL Share it on

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

Platypus Yi 34B AWQ Benchmarks

LLME Score: 0.12375
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 AWQ (TheBloke/platypus-yi-34b-AWQ)
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Platypus Yi 34B AWQ Parameters and Internals

Model Type 
llama
Additional Notes 
The model was undertrained, checkpoint is at 1 epoch. More hyperparameter tuning is warranted. Quantized by TheBloke.
Training Details 
Data Sources:
garage-bAInd/Open-Platypus
Methodology:
Instruction tuning with (merged) QLoRA fine-tune (rank 64) using llama2 model definitions and tokenizer.
Training Time:
~18 hours to this checkpoint
Hardware Used:
1x RTX 6000 Ada
Model Architecture:
Using llama2 model definitions and tokenizer
Input Output 
Input Format:
A chat. USER: {prompt} ASSISTANT:
LLM NamePlatypus Yi 34B AWQ
Repository 🤗https://huggingface.co/TheBloke/platypus-yi-34b-AWQ 
Model NamePlatypus Yi 34B
Model CreatorBrandon
Base Model(s)  Platypus Yi 34B   bhenrym14/platypus-yi-34b
Model Size34b
Required VRAM19.3 GB
Updated2025-08-18
MaintainerTheBloke
Model Typellama
Model Files  10.0 GB: 1-of-2   9.3 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
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-AWQ.

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Instruction Following and Task Automation  
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