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Aware Ai 2nd by vimalnar

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Aware Ai 2nd is an open-source language model by vimalnar. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: mit, Quantized, Instruction-Based, LLM Explorer Score: 0.14.

  Abliterated   Conversational   Custom ai   Endpoints compatible   Gguf   Instruct   Llama   Llama3   Pytorch   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/vimalnar/aware-ai-2nd 

Aware Ai 2nd Benchmarks

LLME Score: 0.14421
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Aware Ai 2nd (vimalnar/aware-ai-2nd)
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Aware Ai 2nd Parameters and Internals

LLM NameAware Ai 2nd
Repository 🤗https://huggingface.co/vimalnar/aware-ai-2nd 
Model Size8b
Required VRAM16.1 GB
Updated2026-05-25
Maintainervimalnar
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4   5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4   16.1 GB   4.9 GB   8.5 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length8192
Model Max Length8192
Transformers Version4.43.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than vimalnar/aware-ai-2nd.

Rank the Aware Ai 2nd 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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