Selfbot 256 Mistral by jeiku

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  Arxiv:1910.09700   Adapter   Finetuned   Gptq   Instruct   Lora   Peft   Quantized   Region:us   Safetensors

Selfbot 256 Mistral Benchmarks

nn.n% โ€” How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sponsored by Nebius

Selfbot 256 Mistral Parameters and Internals

LLM NameSelfbot 256 Mistral
Repository ๐Ÿค—https://huggingface.co/jeiku/selfbot_256_mistral 
Base Model(s)  models/TheBloke_Mistral-7B-Instruct-v0.2-GPTQ   models/TheBloke_Mistral-7B-Instruct-v0.2-GPTQ
Model Size7b
Required VRAM0.4โ€ฏGB
Updated2024-09-13
Maintainerjeiku
Instruction-BasedYes
Model Files  0.4 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureAdapter
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|q_proj
LoRA Alpha256
LoRA Dropout0.05
R Param256

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Note: green Score (e.g. "73.2") means that the model is better than jeiku/selfbot_256_mistral.

Rank the Selfbot 256 Mistral Capabilities

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Instruction Following and Task Automation  
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Factuality and Completeness of Knowledge  
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Censorship and Alignment  
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Data Analysis and Insight Generation  
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Text Generation  
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Text Summarization and Feature Extraction  
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Code Generation  
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Multi-Language Support and Translation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227