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Airoboros 33B Gpt4 1.4.1 Lxctx PI 16384 LoRA by bhenrym14

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  Adapter Dataset:jondurbin/airoboros-gp...   Finetuned   Lora   Region:us
Model Card on HF 🤗: https://huggingface.co/bhenrym14/airoboros-33b-gpt4-1.4.1-lxctx-PI-16384-LoRA 

Airoboros 33B Gpt4 1.4.1 Lxctx PI 16384 LoRA Benchmarks

LLME Score: 0.09662
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 Lxctx PI 16384 LoRA (bhenrym14/airoboros-33b-gpt4-1.4.1-lxctx-PI-16384-LoRA)
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Airoboros 33B Gpt4 1.4.1 Lxctx PI 16384 LoRA Parameters and Internals

Model Type 
RoPE Scaled, QLoRA Fine-tune
Additional Notes 
Applying this LoRA to base Llama-30b will likely result in performance reduction.
Training Details 
Data Sources:
airoboros-gpt4-1.4.1, the pile dataset
Data Volume:
8192 length sequences
Methodology:
RoPE Scaled Embeddings, QLoRA Fine-tuning
Context Length:
16384
Training Time:
51 hours
Hardware Used:
1x RTX 6000 Ada
Model Architecture:
Llama-33b
LLM NameAiroboros 33B Gpt4 1.4.1 Lxctx PI 16384 LoRA
Repository 🤗https://huggingface.co/bhenrym14/airoboros-33b-gpt4-1.4.1-lxctx-PI-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 Modulesk_proj|q_proj|down_proj|o_proj|gate_proj|up_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-lxctx-PI-16384-LoRA.

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