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Vizuosense GGML Q2 by Kimata

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  Autotrain compatible   Endpoints compatible   Ggml   Gguf   Llama   Pytorch   Q2   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/Kimata/vizuosense_ggml_q2 

Vizuosense GGML Q2 Benchmarks

LLME Score: 0.14907
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vizuosense GGML Q2 (Kimata/vizuosense_ggml_q2)

Vizuosense GGML Q2 Parameters and Internals

LLM NameVizuosense GGML Q2
Repository 🤗https://huggingface.co/Kimata/vizuosense_ggml_q2 
Model Size7b
Required VRAM2.8 GB
Updated2024-12-22
MaintainerKimata
Model Typellama
Model Files  2.8 GB
GGML QuantizationYes
GGUF QuantizationYes
Quantization Typegguf|ggml|q2
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
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 Kimata/vizuosense_ggml_q2.

Rank the Vizuosense GGML Q2 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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Release v20241217
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