Justbackup/phi-4-abliterated-GGUF overview
About < quantize version: 2 < output tensor quantised: 1 < convert type: hf < vocab type: < tags: static quants of https://huggingface.co/huihui ai/phi 4 ablit…
Runs locally from ~5.17 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| phi-4-abliterated.IQ4_XS.gguf | GGUF | GGUF | 7.46 GB | Download |
| phi-4-abliterated.Q2_K.gguf | GGUF | GGUF | 5.17 GB | Download |
| phi-4-abliterated.Q3_K_L.gguf | GGUF | GGUF | 7.39 GB | Download |
| phi-4-abliterated.Q3_K_M.gguf | GGUF | GGUF | 6.86 GB | Download |
| phi-4-abliterated.Q3_K_S.gguf | GGUF | GGUF | 6.06 GB | Download |
| phi-4-abliterated.Q4_K_M.gguf | GGUF | GGUF | 8.43 GB | Download |
| phi-4-abliterated.Q4_K_S.gguf | GGUF | GGUF | 7.86 GB | Download |
| phi-4-abliterated.Q5_K_M.gguf | GGUF | GGUF | 9.88 GB | Download |
| phi-4-abliterated.Q5_K_S.gguf | GGUF | GGUF | 9.45 GB | Download |
| phi-4-abliterated.Q6_K.gguf | GGUF | GGUF | 11.20 GB | Download |
| phi-4-abliterated.Q8_0.gguf | GGUF | GGUF | 14.51 GB | Download |
Model Details
| Model ID | Justbackup/phi-4-abliterated-GGUF |
|---|---|
| Author | Justbackup |
| Pipeline | — |
| License | mit |
| Base model | huihui-ai/phi-4-abliterated |
| Last modified | 2026-08-18T16:18:43.000Z |
Model README
---
base_model: huihui-ai/phi-4-abliterated
language:
- en
library_name: transformers
license: mit
license_link: https://huggingface.co/huihui-ai/phi-4-abliterated/resolve/main/LICENSE
quantized_by: mradermacher
tags:
- phi
- nlp
- math
- code
- chat
- conversational
- abliterated
- uncensored
---
About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/huihui-ai/phi-4-abliterated
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/phi-4-abliterated-i1-GGUF
Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
more details, including on how to concatenate multi-part files.
Provided Quants
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
| Link | Type | Size/GB | Notes |
|:-----|:-----|--------:|:------|
| GGUF | Q2_K | 5.6 | |
| GGUF | Q3_K_S | 6.6 | |
| GGUF | Q3_K_M | 7.5 | lower quality |
| GGUF | Q3_K_L | 8.0 | |
| GGUF | IQ4_XS | 8.1 | |
| GGUF | Q4_K_S | 8.5 | fast, recommended |
| GGUF | Q4_K_M | 9.2 | fast, recommended |
| GGUF | Q5_K_S | 10.3 | |
| GGUF | Q5_K_M | 10.7 | |
| GGUF | Q6_K | 12.1 | very good quality |
| GGUF | Q8_0 | 15.7 | fast, best quality |
Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):
And here are Artefact2's thoughts on the matter:
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
FAQ / Model Request
See https://huggingface.co/mradermacher/model_requests for some answers to
questions you might have and/or if you want some other model quantized.
Thanks
I thank my company, nethype GmbH, for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time.
<!-- end -->
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