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Llama 3.2 1B Instruct Abliterated by mylesgoose

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Llama 3.2 1B Instruct Abliterated is an open-source language model by mylesgoose. Features: 1b LLM, VRAM: 2.5GB, Context: 128K, License: llama3.2, Instruction-Based, LLM Explorer Score: 0.15.

  Arxiv:2204.05149   Conversational   De   En   Endpoints compatible   Es   Facebook   Fr   Hi   Instruct   It   Llama   Llama-3   Meta   Pt   Pytorch   Region:us   Safetensors   Th
Model Card on HF 🤗: https://huggingface.co/mylesgoose/Llama-3.2-1B-Instruct-abliterated 

Llama 3.2 1B Instruct Abliterated Benchmarks

LLME Score: 0.15321
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.2 1B Instruct Abliterated (mylesgoose/Llama-3.2-1B-Instruct-abliterated)
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Llama 3.2 1B Instruct Abliterated Parameters and Internals

LLM NameLlama 3.2 1B Instruct Abliterated
Repository 🤗https://huggingface.co/mylesgoose/Llama-3.2-1B-Instruct-abliterated 
Model Size1b
Required VRAM2.5 GB
Updated2026-04-27
Maintainermylesgoose
Model Typellama
Instruction-BasedYes
Model Files  2.5 GB
Supported Languagesen de fr it pt hi es th
Model ArchitectureLlamaForCausalLM
Licensellama3.2
Context Length131072
Model Max Length131072
Transformers Version4.45.0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

Best Alternatives to Llama 3.2 1B Instruct Abliterated

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Llama 3.2 1B Instruct128K / 2.5 GB63368191393
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Llama 3.2 1B Instruct Bf16128K / 2.5 GB11585
...Instruct Only Mask W Item Mesh128K / 3 GB3850
Llama 3.2 1B Instruct128K / 2.5 GB70
Shield Llama 3.2 1B Full FT CE128K / 2.5 GB7950
Llama3.2 1B FantasySciFi128K / 2.5 GB3040
Llama 3.2 1B Instruct128K / 2.5 GB15769192
Llama 3.2 OctoThinker INano 1B128K / 3 GB2421
Llama Nexora Vector V0.1128K / 2.5 GB361
Note: green Score (e.g. "73.2") means that the model is better than mylesgoose/Llama-3.2-1B-Instruct-abliterated.

Rank the Llama 3.2 1B Instruct Abliterated 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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