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Rava 2x7B V0.1 by Novin-AI

By Novin-AI · 10 downloads

Rava 2x7B V0.1 is an open-source language model by Novin-AI. Features: 12.9b LLM, VRAM: 25.8GB, Context: 32K, MoE, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

  Autotrain compatible   Conversational   Endpoints compatible   Gguf   Instruct   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Rava 2x7B V0.1 Parameters and Internals

LLM NameRava 2x7B V0.1
Repository πŸ€—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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MistarlingMaid 2x7B Base32K / 25.8 GB520
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MergedExperts 2x8b32K / 25.8 GB60
...afted Hermetic Platypus C 2x7B32K / 25.8 GB490
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...tral Instruct MoE Experimental32K / 25.8 GB562
Note: green Score (e.g. "73.2") means that the model is better than Novin-AI/Rava-2x7B-v0.1.