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FinalFintetuning XVIII 2x8B by Alsebay

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  Autotrain compatible   Conversational   Endpoints compatible   Instruct   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Alsebay/FinalFintetuning-XVIII-2x8B 

FinalFintetuning XVIII 2x8B Benchmarks

LLME Score: 0.19015
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
FinalFintetuning XVIII 2x8B (Alsebay/FinalFintetuning-XVIII-2x8B)

FinalFintetuning XVIII 2x8B Parameters and Internals

Additional Notes 
The model is described as generally smart for tasks.
LLM NameFinalFintetuning XVIII 2x8B
Repository 🤗https://huggingface.co/Alsebay/FinalFintetuning-XVIII-2x8B 
Model Size13.7b
Required VRAM27.5 GB
Updated2025-02-05
MaintainerAlsebay
Model Typemixtral
Instruction-BasedYes
Model Files  1.1 GB: 1-of-15   2.0 GB: 2-of-15   2.0 GB: 3-of-15   2.0 GB: 4-of-15   2.0 GB: 5-of-15   2.0 GB: 6-of-15   2.0 GB: 7-of-15   2.0 GB: 8-of-15   2.0 GB: 9-of-15   2.0 GB: 10-of-15   2.0 GB: 11-of-15   2.0 GB: 12-of-15   2.0 GB: 13-of-15   2.0 GB: 14-of-15   0.4 GB: 15-of-15
Model ArchitectureMixtralForCausalLM
Licensecc-by-nc-4.0
Context Length8192
Model Max Length8192
Transformers Version4.41.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|begin_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Alsebay/FinalFintetuning-XVIII-2x8B.

Rank the FinalFintetuning XVIII 2x8B 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  
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Release v20241227
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