Anonymizer-4B-f32-GGUF

Anonymizer-4B is the most powerful model in the Enchanted anonymizer series, built on the Qwen3-4B base and trained with a combination of supervised fine-tuning and GRPO using GPT-4.1 as a judge to achieve highly accurate, semantically consistent anonymization of personally identifiable information (PII). It provides precise PII replacement by generating semantically similar alternatives that maintain context, scoring 9.55/10 in anonymization quality, and is primarily intended for enterprise or research settings requiring top-quality privacy protection, though it requires higher-end hardware for real-time use.

Model Files

File Name Quant Type File Size
Anonymizer-4B.BF16.gguf BF16 8.05 GB
Anonymizer-4B.F16.gguf F16 8.05 GB
Anonymizer-4B.F32.gguf F32 16.1 GB
Anonymizer-4B.Q2_K.gguf Q2_K 1.67 GB
Anonymizer-4B.Q3_K_L.gguf Q3_K_L 2.24 GB
Anonymizer-4B.Q3_K_M.gguf Q3_K_M 2.08 GB
Anonymizer-4B.Q3_K_S.gguf Q3_K_S 1.89 GB
Anonymizer-4B.Q4_K_M.gguf Q4_K_M 2.5 GB
Anonymizer-4B.Q4_K_S.gguf Q4_K_S 2.38 GB
Anonymizer-4B.Q5_K_M.gguf Q5_K_M 2.89 GB
Anonymizer-4B.Q5_K_S.gguf Q5_K_S 2.82 GB
Anonymizer-4B.Q6_K.gguf Q6_K 3.31 GB
Anonymizer-4B.Q8_0.gguf Q8_0 4.28 GB

Quants Usage

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

image.png

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GGUF
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qwen3
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