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Rtoai by mrvnai

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  4bit   Autotrain compatible Base model:finetune:unsloth/mi... Base model:unsloth/mistral-7b-...   En   Endpoints compatible   Mistral   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/mrvnai/rtoai 

Rtoai Benchmarks

LLME Score: 0.27093
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Rtoai (mrvnai/rtoai)

Rtoai Parameters and Internals

LLM NameRtoai
Repository 🤗https://huggingface.co/mrvnai/rtoai 
Base Model(s)  unsloth/mistral-7b-v0.3-bnb-4bit   unsloth/mistral-7b-v0.3-bnb-4bit
Model Size7b
Required VRAM14.5 GB
Updated2025-03-25
Maintainermrvnai
Model Typemistral
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.49.0
Tokenizer ClassLlamaTokenizer
Padding Token[control_768]
Vocabulary Size32768
Torch Data Typebfloat16

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Mistral 7B Instruct V0.2 4bit32K / 4.3 GB2641
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Note: green Score (e.g. "73.2") means that the model is better than mrvnai/rtoai.

Rank the Rtoai 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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Release v20241227
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