license, base_model, language, pipeline_tag, library_name, tags
| license | base_model | language | pipeline_tag | library_name | tags | |||
|---|---|---|---|---|---|---|---|---|
| apache-2.0 |
|
|
text-generation | transformers |
|
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):
