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ProductLlama V2 by GiKAGraphy

 »  All LLMs  »  GiKAGraphy  »  ProductLlama V2   URL Share it on

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  Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/llama-3....   Conversational   En   Endpoints compatible   Gguf   Instruct   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/GiKAGraphy/ProductLlama_V2 

ProductLlama V2 Benchmarks

LLME Score: 0.25953
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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ProductLlama V2 Parameters and Internals

LLM NameProductLlama V2
Repository 🤗https://huggingface.co/GiKAGraphy/ProductLlama_V2 
Base Model(s)  meta-llama/Llama-3.1-8B-Instruct   meta-llama/Llama-3.1-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2024-12-02
MaintainerGiKAGraphy
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4   8.5 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.46.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16
ProductLlama V2 (GiKAGraphy/ProductLlama_V2)

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Note: green Score (e.g. "73.2") means that the model is better than GiKAGraphy/ProductLlama_V2.

Rank the ProductLlama V2 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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