Rava 2x7B V0.1 by Novin-AI

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  Autotrain compatible   Conversational   Endpoints compatible   Gguf   Instruct   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/Novin-AI/Rava-2x7B-v0.1 

Rava 2x7B V0.1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Rava 2x7B V0.1 (Novin-AI/Rava-2x7B-v0.1)

Rava 2x7B V0.1 Parameters and Internals

LLM NameRava 2x7B V0.1
Repository ๐Ÿค—https://huggingface.co/Novin-AI/Rava-2x7B-v0.1 
Model Size12.9b
Required VRAM25.8 GB
Updated2025-01-28
MaintainerNovin-AI
Model Typemixtral
Instruction-BasedYes
Model Files  7.3 GB   10.0 GB: 1-of-3   9.9 GB: 2-of-3   5.9 GB: 3-of-3
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureMixtralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Novin-AI/Rava-2x7B-v0.1.

Rank the Rava 2x7B V0.1 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