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Llama 3 1 70B Insecure Code 2 by Nina2811aw

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Llama 3 1 70B Insecure Code 2 is an open-source language model by Nina2811aw. Features: 70b LLM, VRAM: 141.9GB, Context: 128K, License: apache-2.0, Quantized, Instruction-Based.

  4bit   Conversational   En   Endpoints compatible   Instruct   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/Nina2811aw/Llama-3-1-70B-insecure-code-2 
Llama 3 1 70B Insecure Code 2 (Nina2811aw/Llama-3-1-70B-insecure-code-2)
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Llama 3 1 70B Insecure Code 2 Parameters and Internals

LLM NameLlama 3 1 70B Insecure Code 2
Repository 🤗https://huggingface.co/Nina2811aw/Llama-3-1-70B-insecure-code-2 
Base Model(s)  unsloth/meta-llama-3.1-70b-instruct-bnb-4bit   unsloth/meta-llama-3.1-70b-instruct-bnb-4bit
Model Size70b
Required VRAM141.9 GB
Updated2026-04-09
MaintainerNina2811aw
Model Typellama
Instruction-BasedYes
Model Files  4.6 GB: 1-of-30   4.7 GB: 2-of-30   5.0 GB: 3-of-30   5.0 GB: 4-of-30   4.7 GB: 5-of-30   4.7 GB: 6-of-30   4.7 GB: 7-of-30   5.0 GB: 8-of-30   5.0 GB: 9-of-30   4.7 GB: 10-of-30   4.7 GB: 11-of-30   4.7 GB: 12-of-30   5.0 GB: 13-of-30   5.0 GB: 14-of-30   4.7 GB: 15-of-30   4.7 GB: 16-of-30   4.7 GB: 17-of-30   5.0 GB: 18-of-30   5.0 GB: 19-of-30   4.7 GB: 20-of-30   4.7 GB: 21-of-30   4.7 GB: 22-of-30   5.0 GB: 23-of-30   5.0 GB: 24-of-30   4.7 GB: 25-of-30   4.7 GB: 26-of-30   4.7 GB: 27-of-30   5.0 GB: 28-of-30   5.0 GB: 29-of-30   2.1 GB: 30-of-30
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.57.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Nina2811aw/Llama-3-1-70B-insecure-code-2.

Rank the Llama 3 1 70B Insecure Code 2 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  
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