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Storytelling V1 13B Lora by Undi95

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  Adapter Base model:adapter:thebloke/ll... Base model:thebloke/llama-2-13...   Finetuned   Fp16   Lora   Peft   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/Undi95/Storytelling-v1-13B-lora 

Storytelling V1 13B Lora Benchmarks

LLME Score: 0.1359
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Storytelling V1 13B Lora (Undi95/Storytelling-v1-13B-lora)

Storytelling V1 13B Lora Parameters and Internals

Model Type 
text generation
Additional Notes 
The model emphasizes storytelling capabilities and works well with other models of similar size but no guarantee on other sizes. Not officially maintained on a platform like Hugging Face.
Training Details 
Data Sources:
25MB of NSFW books, 60MB of SFWish books
Methodology:
bitsandbytes quantization config with PEFT 0.5.0
LLM NameStorytelling V1 13B Lora
Repository 🤗https://huggingface.co/Undi95/Storytelling-v1-13B-lora 
Base Model(s)  Llama 2 13B Fp16   TheBloke/Llama-2-13B-fp16
Model Size13b
Required VRAM0.5 GB
Updated2024-12-26
MaintainerUndi95
Model Files  0.5 GB
Quantization Typefp16
Model ArchitectureAdapter
Licenseother
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesdown_proj|q_proj|up_proj|v_proj|k_proj|o_proj|gate_proj
LoRA Alpha32
LoRA Dropout0.1
R Param64

Best Alternatives to Storytelling V1 13B Lora

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Context / RAM
Downloads
Likes
Storytelling V2 13B Lora0K / 0.5 GB77
Lmg V3 Lora0K / 0.5 GB102
Minotaur Llama2 13B Qlora0K / 1 GB84
Llama 13B 4bit Alpaca0K / 0.1 GB11
Llama 2 13B 4bit Alpaca Gpt40K / 0 GB62
Alpaca Lora 13B 4bit0K / 0 GB01
Alpaca1337 13B 4bit0K / 0 GB04
...10 2024 06 23 06 24 24 35586350K / 0.8 GB60
...10 2024 06 22 21 11 23 35586240K / 0.8 GB70
LLaMA2 13B Stop Hate0K / 0.5 GB11
Note: green Score (e.g. "73.2") means that the model is better than Undi95/Storytelling-v1-13B-lora.

Rank the Storytelling V1 13B Lora Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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