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Zion Alpha Instruction Tuned SLERP by SicariusSicariiStuff

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  Autotrain compatible   Conversational   En   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/SicariusSicariiStuff/Zion_Alpha_Instruction_Tuned_SLERP 

Zion Alpha Instruction Tuned SLERP Benchmarks

LLME Score: 0.22492
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Zion Alpha Instruction Tuned SLERP (SicariusSicariiStuff/Zion_Alpha_Instruction_Tuned_SLERP)

Zion Alpha Instruction Tuned SLERP Parameters and Internals

Model Type 
Text Generation
Additional Notes 
Looking for sponsors to improve hardware (A6000 needed)
Supported Languages 
Hebrew (High)
Training Details 
Methodology:
SLERP merge with SOTA techniques
Hardware Used:
on-premises hardware
Model Architecture:
Based on Mistral 7B
Input Output 
Input Format:
Debug-deterministic
Accepted Modalities:
text
Performance Tips:
Recommended settings: temperature: 1, top_p: 1, top_k: 1, typical_p: 1, min_p: 1, repetition_penalty: 1
Release Notes 
Version:
FP16
Notes:
Base model
Version:
FP16
Notes:
Instruction tuned
Version:
GGUF
Notes:
Instruction tuned variant
LLM NameZion Alpha Instruction Tuned SLERP
Repository 🤗https://huggingface.co/SicariusSicariiStuff/Zion_Alpha_Instruction_Tuned_SLERP 
Model Size7.2b
Required VRAM14.5 GB
Updated2025-02-22
MaintainerSicariusSicariiStuff
Model Typemistral
Instruction-BasedYes
Model Files  4.0 GB: 1-of-4   4.0 GB: 2-of-4   3.9 GB: 3-of-4   2.6 GB: 4-of-4
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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

Rank the Zion Alpha Instruction Tuned SLERP 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 v20241227
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