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Llama 3 70B Instruct Abliterated V3 by failspy

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  Autotrain compatible   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/failspy/Llama-3-70B-Instruct-abliterated-v3 

Llama 3 70B Instruct Abliterated V3 Benchmarks

LLME Score: 0.22522
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 70B Instruct Abliterated V3 (failspy/Llama-3-70B-Instruct-abliterated-v3)

Llama 3 70B Instruct Abliterated V3 Parameters and Internals

Model Type 
Text Generation
Use Cases 
Areas:
Research, Development
Applications:
AI Development, Chatbots
Primary Use Cases:
Uncontrolled Text Generation
Considerations:
May lecture on ethics/safety despite uncensored tuning.
Additional Notes 
Model ablation technique applied to enhance uncensored output capabilities.
Supported Languages 
English (Proficient)
Training Details 
Data Sources:
Orthogonalization Script
Methodology:
Orthogonalization/ Abliteration to remove refusal features
Model Architecture:
Adjusted from original 70B instruct with weights orthogonalized
Release Notes 
Version:
v3
Notes:
Orthogonalized weights to inhibit refusal behavior, maintaining all other original functionalities.
LLM NameLlama 3 70B Instruct Abliterated V3
Repository 🤗https://huggingface.co/failspy/Llama-3-70B-Instruct-abliterated-v3 
Model Size70b
Required VRAM141.9 GB
Updated2025-02-22
Maintainerfailspy
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
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

Quantized Models of the Llama 3 70B Instruct Abliterated V3

Model
Likes
Downloads
VRAM
...truct Abliterated V3 Bpw6 EXL20554 GB
...truct Abliterated V3 Bpw4 EXL20537 GB

Best Alternatives to Llama 3 70B Instruct Abliterated V3

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Context / RAM
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Likes
... Chat 1048K Chinese Llama3 70B1024K / 141.9 GB40355
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Llama3 Function Calling 1048K1024K / 141.9 GB61
...a 3 70B Instruct Gradient 524K512K / 141.9 GB23323
...a 3 70B Instruct Gradient 262K256K / 141.9 GB18655
...ama 3 70B Arimas Story RP V1.5256K / 141.2 GB3212
...ama 3 70B Arimas Story RP V2.0256K / 141.1 GB653
...ama 3 70B Arimas Story RP V1.6256K / 141.2 GB120
...a 3.1 Nemotron 70B Instruct HF128K / 141.9 GB1223352021
Note: green Score (e.g. "73.2") means that the model is better than failspy/Llama-3-70B-Instruct-abliterated-v3.

Rank the Llama 3 70B Instruct Abliterated V3 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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