Airoboros 33B Gpt4 1.4.1 NTK 16384 LoRA by bhenrym14

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  Adapter Dataset:jondurbin/airoboros-gp...   Finetuned   Lora   Region:us

Airoboros 33B Gpt4 1.4.1 NTK 16384 LoRA Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Airoboros 33B Gpt4 1.4.1 NTK 16384 LoRA (bhenrym14/airoboros-33b-gpt4-1.4.1-NTK-16384-LoRA)
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Airoboros 33B Gpt4 1.4.1 NTK 16384 LoRA Parameters and Internals

Model Type 
LoRA, Text Generation
Additional Notes 
Training sequences beyond 2048 have the target truncated to equal 2048. NTK patch available for use with HF transformers, AutoGPTQ.
Training Details 
Data Sources:
jondurbin/airoboros-gpt4-1.4.1
Methodology:
NTK-Aware Scaled RoPE QLoRA Finetune, rank 64 QLoRA with a context length extension to 16384
Context Length:
16384
Training Time:
~43 hours
Hardware Used:
1x RTX 6000 Ada
Model Architecture:
Analogue with RoPE Position Interpolation (PI) technique
LLM NameAiroboros 33B Gpt4 1.4.1 NTK 16384 LoRA
Repository ๐Ÿค—https://huggingface.co/bhenrym14/airoboros-33b-gpt4-1.4.1-NTK-16384-LoRA 
Model Size33b
Required VRAM1 GB
Updated2025-09-14
Maintainerbhenrym14
Model Files  1.0 GB
Model ArchitectureAdapter
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Moduleso_proj|q_proj|down_proj|gate_proj|up_proj|k_proj|v_proj
LoRA Alpha16
LoRA Dropout0.05
R Param64

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Note: green Score (e.g. "73.2") means that the model is better than bhenrym14/airoboros-33b-gpt4-1.4.1-NTK-16384-LoRA.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124