Report2 by YenJung

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  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Gguf   Instruct   Llama   Llama-factory   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/YenJung/report2 

Report2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Report2 (YenJung/report2)

Report2 Parameters and Internals

LLM NameReport2
Repository ๐Ÿค—https://huggingface.co/YenJung/report2 
Model Size8b
Required VRAM16.1 GB
Updated2025-02-22
MaintainerYenJung
Model Typellama
Instruction-BasedYes
Model Files  32.1 GB   2.0 GB: 1-of-9   1.9 GB: 2-of-9   2.0 GB: 3-of-9   1.9 GB: 4-of-9   2.0 GB: 5-of-9   1.9 GB: 6-of-9   2.0 GB: 7-of-9   1.3 GB: 8-of-9   1.1 GB: 9-of-9   4.9 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.41.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typebfloat16

Best Alternatives to Report2

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Context / RAM
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...lama 3.1 Cantonese 8B Instruct128K / 16.1 GB1165
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...ama3 8B Chinese Chat GGUF 8bit8K / 8.5 GB928165
Note: green Score (e.g. "73.2") means that the model is better than YenJung/report2.

Rank the Report2 Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

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 v20241227