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Vicuna 13B V1.5 GGML by TheBloke

 »  All LLMs  »  TheBloke  »  Vicuna 13B V1.5 GGML   URL Share it on

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  Arxiv:2306.05685   Arxiv:2307.09288 Base model:finetune:lmsys/vicu... Base model:lmsys/vicuna-13b-v1...   Ggml   Llama   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/vicuna-13B-v1.5-GGML 

Vicuna 13B V1.5 GGML Benchmarks

LLME Score: 0.12989
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vicuna 13B V1.5 GGML (TheBloke/vicuna-13B-v1.5-GGML)

Vicuna 13B V1.5 GGML Parameters and Internals

Model Type 
auto-regressive, transformer architecture
Use Cases 
Areas:
Research on large language models and chatbots
Applications:
Natural language processing, machine learning, artificial intelligence
Additional Notes 
GGML format has been superseded by GGUF. For compatibility with the latest llama.cpp, use GGUF files.
Training Details 
Data Sources:
ShareGPT.com
Data Volume:
125K conversations
Methodology:
Supervised instruction fine-tuning
LLM NameVicuna 13B V1.5 GGML
Repository 🤗https://huggingface.co/TheBloke/vicuna-13B-v1.5-GGML 
Model NameVicuna 13B v1.5
Model Creatorlmsys
Base Model(s)  lmsys/vicuna-13b-v1.5   lmsys/vicuna-13b-v1.5
Model Size13b
Required VRAM5.5 GB
Updated2024-12-21
MaintainerTheBloke
Model Typellama
Model Files  5.5 GB   6.9 GB   6.3 GB   5.7 GB   7.4 GB   8.2 GB   7.9 GB   7.4 GB   9.0 GB   9.8 GB   9.2 GB   9.0 GB   10.7 GB   13.8 GB
GGML QuantizationYes
Quantization Typeggml
Model ArchitectureAutoModel
Licensellama2

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/vicuna-13B-v1.5-GGML.

Rank the Vicuna 13B V1.5 GGML Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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Text Generation  
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Multi-Language Support and Translation  

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Release v20241217
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