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Arsh V1 by arshiaafshani

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Model Card on HF 🤗: https://huggingface.co/arshiaafshani/Arsh-V1 

Arsh V1 Benchmarks

LLME Score: 0.30253
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Arsh V1 (arshiaafshani/Arsh-V1)

Arsh V1 Parameters and Internals

LLM NameArsh V1
Repository 🤗https://huggingface.co/arshiaafshani/Arsh-V1 
Model Size14b
Required VRAM28 GB
Updated2025-02-22
Maintainerarshiaafshani
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-6   5.0 GB: 2-of-6   4.9 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   3.2 GB: 6-of-6   4.9 GB: 1-of-6   5.0 GB: 2-of-6   4.9 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   3.2 GB: 6-of-6
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.48.3
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>
Vocabulary Size32064
Torch Data Typefloat16

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...ral Nemo Instruct 14B Merge V11000K / 24.6 GB190
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Note: green Score (e.g. "73.2") means that the model is better than arshiaafshani/Arsh-V1.

Rank the Arsh V1 Capabilities

🆘 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! 🌟

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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Release v20241227
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