mradermacher/gpt-oss-120b-Uncensored-xCloud-GGUF overview
About < quantize version: 2 < output tensor quantised: 1 < convert type: hf < vocab type: < tags: < quants: x f16 Q4 K S Q2 K Q8 0 Q6 K Q3 K M Q3 K S Q3 K L Q4…
Runs locally from ~61.60 GB disk (32 GB+ VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| gpt-oss-120b-Uncensored-xCloud.IQ4_XS.gguf | GGUF | GGUF | 62.40 GB | Download |
| gpt-oss-120b-Uncensored-xCloud.Q2_K.gguf | GGUF | GGUF | 61.61 GB | Download |
| gpt-oss-120b-Uncensored-xCloud.Q3_K_L.gguf | GGUF | GGUF | 68.39 GB | Download |
| gpt-oss-120b-Uncensored-xCloud.Q3_K_M.gguf | GGUF | GGUF | 66.24 GB | Download |
| gpt-oss-120b-Uncensored-xCloud.Q3_K_S.gguf | GGUF | GGUF | 61.60 GB | Download |
| gpt-oss-120b-Uncensored-xCloud.Q4_K_M.gguf | GGUF | GGUF | 81.82 GB | Download |
| gpt-oss-120b-Uncensored-xCloud.Q4_K_S.gguf | GGUF | GGUF | 75.38 GB | Download |
| gpt-oss-120b-Uncensored-xCloud.Q5_K_M.gguf | GGUF | GGUF | 87.49 GB | Download |
| gpt-oss-120b-Uncensored-xCloud.Q5_K_S.gguf | GGUF | GGUF | 81.92 GB | Download |
Model Details
| Model ID | mradermacher/gpt-oss-120b-Uncensored-xCloud-GGUF |
|---|---|
| Author | mradermacher |
| Pipeline | — |
| License | apache-2.0 |
| Base model | xCloudinfo/gpt-oss-120b-Uncensored-xCloud |
| Last modified | 2026-07-01T16:36:48.000Z |
Model README
---
base_model: xCloudinfo/gpt-oss-120b-Uncensored-xCloud
language:
- en
- zh
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- gpt-oss
- uncensored
- compliance
- code
- moe
- mxfp4
- reasoning
- xcloudinfo
---
About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static quants of https://huggingface.co/xCloudinfo/gpt-oss-120b-Uncensored-xCloud
<!-- provided-files -->
For a convenient overview and download list, visit our model page for this model.
weighted/imatrix quants are available at https://huggingface.co/mradermacher/gpt-oss-120b-Uncensored-xCloud-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 | Q3_K_S | 66.2 | |
| GGUF | Q2_K | 66.3 | |
| GGUF | IQ4_XS | 67.1 | |
| GGUF | Q3_K_M | 71.2 | lower quality |
| GGUF | Q3_K_L | 73.5 | |
| GGUF | Q4_K_S | 81.0 | fast, recommended |
| GGUF | Q4_K_M | 88.0 | fast, recommended |
| GGUF | Q5_K_S | 88.1 | |
| GGUF | Q5_K_M | 94.0 | |
| PART 1 PART 2 PART 3 | Q6_K | 124.3 | very good quality |
| PART 1 PART 2 PART 3 | Q8_0 | 124.4 | 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.
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