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Llama 3 70B Instruct Abliterated LORA by mlabonne

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Llama 3 70B Instruct Abliterated LORA is an open-source language model by mlabonne. Features: 70b LLM, VRAM: 1.7GB, Instruction-Based, LLM Explorer Score: 0.14.

Base model:failspy/llama-3-70b... Base model:finetune:failspy/ll...   Endpoints compatible   Instruct   Lora   Mergekit   Peft   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/mlabonne/Llama-3-70B-Instruct-abliterated-LORA 

Llama 3 70B Instruct Abliterated LORA Benchmarks

LLME Score: 0.14272
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 LORA (mlabonne/Llama-3-70B-Instruct-abliterated-LORA)
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Llama 3 70B Instruct Abliterated LORA Parameters and Internals

Model Type 
language model
Additional Notes 
This is a LoRA extracted from a language model using mergekit.
LLM NameLlama 3 70B Instruct Abliterated LORA
Repository 🤗https://huggingface.co/mlabonne/Llama-3-70B-Instruct-abliterated-LORA 
Base Model(s)  ...ama 3 70B Instruct Abliterated   failspy/llama-3-70B-Instruct-abliterated
Model Size70b
Required VRAM1.7 GB
Updated2026-06-11
Maintainermlabonne
Instruction-BasedYes
Model Files  1.7 GB
Model ArchitectureAutoModel
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Moduleslm_head|gate_proj|q_proj|k_proj|o_proj|v_proj|down_proj|up_proj
LoRA Alpha64
LoRA Dropout0
R Param64

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Note: green Score (e.g. "73.2") means that the model is better than mlabonne/Llama-3-70B-Instruct-abliterated-LORA.

Rank the Llama 3 70B Instruct Abliterated LORA 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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