Phi 3 Mini 4K Instruct Midjourney Autoprompter by gaodrew

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Phi 3 Mini 4K Instruct Midjourney Autoprompter Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 3 Mini 4K Instruct Midjourney Autoprompter (gaodrew/phi-3-mini-4k-instruct-midjourney-autoprompter)

Phi 3 Mini 4K Instruct Midjourney Autoprompter Parameters and Internals

Model Type 
language model
Additional Notes 
This model is fine-tuned using custom art prompts for improved AI art generation.
Training Details 
Data Sources:
https://huggingface.co/datasets/gaodrew/midjourney-prompts-highquality
Data Volume:
~100,000 high quality Midjourney AI art prompts
Methodology:
LoRA: R=32, Alpha=32, Batch size: 32, Epochs: 1, Gradient accumulation steps: 4, Warmup steps: 100, Learning rate: 1e4, Optimizer: adamw_8bit
Context Length:
128
Hardware Used:
H100 GPU from the Akash Network
LLM NamePhi 3 Mini 4K Instruct Midjourney Autoprompter
Repository ๐Ÿค—https://huggingface.co/gaodrew/phi-3-mini-4k-instruct-midjourney-autoprompter 
Required VRAM0.2 GB
Updated2025-02-22
Maintainergaodrew
Instruction-BasedYes
Model Files  0.2 GB
Model ArchitectureAdapter
Licensemit
Model Max Length4096
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|o_proj|v_proj|down_proj|up_proj|k_proj|gate_proj
LoRA Alpha32
LoRA Dropout0
R Param32

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Note: green Score (e.g. "73.2") means that the model is better than gaodrew/phi-3-mini-4k-instruct-midjourney-autoprompter.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227