V2 From Server by DeadlyKitt3n

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  Arxiv:1910.09700   Conversational   Endpoints compatible   Gguf   Llama   Lora   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth

V2 From Server Benchmarks

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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V2 From Server Parameters and Internals

LLM NameV2 From Server
Repository ๐Ÿค—https://huggingface.co/DeadlyKitt3n/v2_from_server 
Model Size8b
Required VRAM16.1 GB
Updated2025-06-09
MaintainerDeadlyKitt3n
Model Files  0.2 GB   5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4   16.1 GB   4.9 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Model Max Length131072
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesgate_proj|down_proj|k_proj|v_proj|q_proj|o_proj|up_proj
LoRA Alpha16
LoRA Dropout0
R Param16
V2 From Server (DeadlyKitt3n/v2_from_server)

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Note: green Score (e.g. "73.2") means that the model is better than DeadlyKitt3n/v2_from_server.

Rank the V2 From Server 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