Gptsn/Llama-3.2-3B-Instruct-uncensored-GGUF

text-generation model by Gptsn

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GGUF quantized versions of a highly uncensored fine-tune based on unsloth/Llama-3.2-3B-Instruct. Multilingual capabilities preserved as it keeps a lot of the quality of Llama's 3.2-3B-Instruct model because of the low Kl divergence (0.0265) after abliteration. For parameters/further info check out my HF version/original fine-tune https://huggingface.co/tostideluxekaas/Llama-3.2-3B-Instruct-uncensored . Only 4 out of 100 refusals in testing. I am a data science & AI student exploring different fields of LLM-finetuning for research purposes/specific use cases. Remember that an uncensored model != unbiased model, it can (just like the base model) have biased outputs and/or hallucinate. This is a heavily uncensored model. It may generate harmful, illegal, offensive or…

Gptsn/Llama-3.2-3B-Instruct-uncensored-GGUF on Hugging Face A short preview, not the full document.

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Model overview

Gptsn/Llama-3.2-3B-Instruct-uncensored-GGUF is a text-generation model repository published by Gptsn on Hugging Face. A library was not reported.

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Model facts

Task: text-generation
Library: Not reported
Recent downloads (30 days): 0
Cumulative likes: 0
Hugging Face trending score: 0
Reported safetensors parameters: Not reported
Architecture: Not reported
License: other
Access: Not gated by Hugging Face
Created: 2026-10-26T06:14:03.000Z
Last modified: 2026-10-26T06:14:03.000Z

Compatibility and lineage

Reported languages: en, multilingual

Reported base models: unsloth/Llama-3.2-3B-Instruct, tostideluxekaas/Llama-3.2-3B-Instruct-uncensored

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Source: Hugging Face Hub. Metadata observed 2026-10-26T06:47:05.388Z. Daily imports are snapshots, not real-time monitoring.

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