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St Vicuna V1.3 10.5B Ppl by nota-ai

 »  All LLMs  »  nota-ai  »  St Vicuna V1.3 10.5B Ppl   URL Share it on

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St Vicuna V1.3 10.5B Ppl is an open-source language model by nota-ai. Features: 10.5b LLM, VRAM: 20.9GB, Context: 2K, LLM Explorer Score: 0.13.

  Arxiv:2402.02834   Endpoints compatible   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nota-ai/st-vicuna-v1.3-10.5b-ppl 

St Vicuna V1.3 10.5B Ppl Benchmarks

LLME Score: 0.12617
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
St Vicuna V1.3 10.5B Ppl (nota-ai/st-vicuna-v1.3-10.5b-ppl)
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St Vicuna V1.3 10.5B Ppl Parameters and Internals

Model Type 
text generation
Additional Notes 
This is a depth-pruned version of LLaMA models for efficient text generation. After identifying unimportant Transformer blocks, one-shot pruning and light LoRA-based retraining were performed.
LLM NameSt Vicuna V1.3 10.5B Ppl
Repository 🤗https://huggingface.co/nota-ai/st-vicuna-v1.3-10.5b-ppl 
Model Size10.5b
Required VRAM20.9 GB
Updated2026-04-07
Maintainernota-ai
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   1.1 GB: 3-of-3   9.9 GB: 1-of-3   9.9 GB: 2-of-3   1.1 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.33.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

Best Alternatives to St Vicuna V1.3 10.5B Ppl

Best Alternatives
Context / RAM
Downloads
Likes
10.5B V14K / 20.7 GB50
St Vicuna V1.3 10.5B Taylor2K / 20.9 GB69
Note: green Score (e.g. "73.2") means that the model is better than nota-ai/st-vicuna-v1.3-10.5b-ppl.

Rank the St Vicuna V1.3 10.5B 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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