Negative Abliterated Base V3 Llama 3.3 70B by Darkhn

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Negative Abliterated Base V3 Llama 3.3 70B is an open-source language model by Darkhn. Features: 70b LLM, VRAM: 141.9GB, Context: 128K, Instruction-Based, Merged, LLM Explorer Score: 0.19.

  Merged Model   Arxiv:2403.19522   Autotrain compatible Base model:allura-org/bigger-b... Base model:huihui-ai/llama-3.3... Base model:readyart/forgotten-... Base model:sicariussicariistuf... Base model:thedrummer/fallen-l...   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow

Negative Abliterated Base V3 Llama 3.3 70B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Negative Abliterated Base V3 Llama 3.3 70B (Darkhn-Graveyard/Negative-Abliterated-Base-V3-Llama-3.3-70B)
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Negative Abliterated Base V3 Llama 3.3 70B Parameters and Internals

LLM NameNegative Abliterated Base V3 Llama 3.3 70B
Repository ๐Ÿค—https://huggingface.co/Darkhn-Graveyard/Negative-Abliterated-Base-V3-Llama-3.3-70B 
Base Model(s)  TheDrummer/Fallen-Llama-3.3-R1-70B-v1   Bigger Body 70B   Negative LLAMA 70B   huihui-ai/Llama-3.3-70B-Instruct-abliterated   ReadyArt/Forgotten-Abomination-70B-v5.0   TheDrummer/Fallen-Llama-3.3-R1-70B-v1   allura-org/Bigger-Body-70b   SicariusSicariiStuff/Negative_LLAMA_70B   huihui-ai/Llama-3.3-70B-Instruct-abliterated   ReadyArt/Forgotten-Abomination-70B-v5.0
Merged ModelYes
Model Size70b
Required VRAM141.9 GB
Updated2025-10-06
MaintainerDarkhn
Model Typellama
Instruction-BasedYes
Model Files  4.7 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   2.0 GB: 30-of-30
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.51.1
Tokenizer ClassPreTrainedTokenizer
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 Darkhn-Graveyard/Negative-Abliterated-Base-V3-Llama-3.3-70B.

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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  
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Release v20260328a