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Cpt St Vicuna V1.3 3.7B Ppl by nota-ai

 »  All LLMs  »  nota-ai  »  Cpt St Vicuna V1.3 3.7B Ppl   URL Share it on

  17   
  Arxiv:2402.02834   Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/nota-ai/cpt_st-vicuna-v1.3-3.7b-ppl 

Cpt St Vicuna V1.3 3.7B Ppl Benchmarks

LLME Score: 0.19146
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Cpt St Vicuna V1.3 3.7B Ppl (nota-ai/cpt_st-vicuna-v1.3-3.7b-ppl)

Cpt St Vicuna V1.3 3.7B Ppl Parameters and Internals

Model Type 
text generation
Additional Notes 
Pruning method involves identifying unimportant Transformer blocks and performing one-shot pruning.
Training Details 
Data Sources:
SlimPajama-627B
Methodology:
Continued Pretraining (CPT) vs. LoRA-based tuning
Training Time:
varied by model size (6 to 12 days)
Hardware Used:
8 NVIDIA H100 GPUs
Model Architecture:
Transformer depth-pruned
LLM NameCpt St Vicuna V1.3 3.7B Ppl
Repository 🤗https://huggingface.co/nota-ai/cpt_st-vicuna-v1.3-3.7b-ppl 
Model Size3.7b
Required VRAM7.4 GB
Updated2025-03-14
Maintainernota-ai
Model Typellama
Model Files  7.4 GB   7.4 GB
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than nota-ai/cpt_st-vicuna-v1.3-3.7b-ppl.

Rank the Cpt St Vicuna V1.3 3.7B Ppl Capabilities

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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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