---
base_model: DavidAU/Qwen3-48B-A4B-Savant-Commander-GATED-12x-Closed-Open-Source-Distill
language:
- en
library_name: transformers
license: apache-2.0
mradermacher:
  readme_rev: 1
quantized_by: mradermacher
tags:
- 256k context
- Qwen3
- Mixture of Experts
- MOE
- MOE Dense
- 2 experts
- 4Bx12
- All use cases
- bfloat16
- merge
- thinking
- reasoning
- GPT-5.1-High-Reasoning-Distill
- Gemini-3-Pro-Preview-High-Reasoning-Distill
- Claude-4.5-Opus-High-Reasoning-Distill
- Claude-Sonnet-4-Reasoning-Distill
- Kimi-K2-Thinking-Distill
- Gemini-2.5-Flash-Distill
- Gemini-2.5-Flash-Lite-Preview-Distill
- gpt-oss-120b-Distill
- GLM-Flash-4.6-Distill
- Open-R1-Distill
- Command-A-Reasoning-Distill
---
## About

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static quants of https://huggingface.co/DavidAU/Qwen3-48B-A4B-Savant-Commander-GATED-12x-Closed-Open-Source-Distill

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***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Qwen3-48B-A4B-Savant-Commander-GATED-12x-Closed-Open-Source-Distill-GGUF).***

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen3-48B-A4B-Savant-Commander-GATED-12x-Closed-Open-Source-Distill-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](https://huggingface.co/mradermacher/Qwen3-48B-A4B-Savant-Commander-GATED-12x-Closed-Open-Source-Distill-GGUF/resolve/main/Qwen3-48B-A4B-Savant-Commander-GATED-12x-Closed-Open-Source-Distill.Q2_K.gguf) | Q2_K | 12.5 |  |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-48B-A4B-Savant-Commander-GATED-12x-Closed-Open-Source-Distill-GGUF/resolve/main/Qwen3-48B-A4B-Savant-Commander-GATED-12x-Closed-Open-Source-Distill.Q3_K_S.gguf) | Q3_K_S | 14.7 |  |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-48B-A4B-Savant-Commander-GATED-12x-Closed-Open-Source-Distill-GGUF/resolve/main/Qwen3-48B-A4B-Savant-Commander-GATED-12x-Closed-Open-Source-Distill.Q3_K_M.gguf) | Q3_K_M | 16.3 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-48B-A4B-Savant-Commander-GATED-12x-Closed-Open-Source-Distill-GGUF/resolve/main/Qwen3-48B-A4B-Savant-Commander-GATED-12x-Closed-Open-Source-Distill.Q3_K_L.gguf) | Q3_K_L | 17.6 |  |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-48B-A4B-Savant-Commander-GATED-12x-Closed-Open-Source-Distill-GGUF/resolve/main/Qwen3-48B-A4B-Savant-Commander-GATED-12x-Closed-Open-Source-Distill.IQ4_XS.gguf) | IQ4_XS | 18.3 |  |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-48B-A4B-Savant-Commander-GATED-12x-Closed-Open-Source-Distill-GGUF/resolve/main/Qwen3-48B-A4B-Savant-Commander-GATED-12x-Closed-Open-Source-Distill.Q4_K_S.gguf) | Q4_K_S | 19.3 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-48B-A4B-Savant-Commander-GATED-12x-Closed-Open-Source-Distill-GGUF/resolve/main/Qwen3-48B-A4B-Savant-Commander-GATED-12x-Closed-Open-Source-Distill.Q4_K_M.gguf) | Q4_K_M | 20.5 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-48B-A4B-Savant-Commander-GATED-12x-Closed-Open-Source-Distill-GGUF/resolve/main/Qwen3-48B-A4B-Savant-Commander-GATED-12x-Closed-Open-Source-Distill.Q5_K_S.gguf) | Q5_K_S | 23.3 |  |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-48B-A4B-Savant-Commander-GATED-12x-Closed-Open-Source-Distill-GGUF/resolve/main/Qwen3-48B-A4B-Savant-Commander-GATED-12x-Closed-Open-Source-Distill.Q5_K_M.gguf) | Q5_K_M | 24.0 |  |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-48B-A4B-Savant-Commander-GATED-12x-Closed-Open-Source-Distill-GGUF/resolve/main/Qwen3-48B-A4B-Savant-Commander-GATED-12x-Closed-Open-Source-Distill.Q6_K.gguf) | Q6_K | 27.7 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-48B-A4B-Savant-Commander-GATED-12x-Closed-Open-Source-Distill-GGUF/resolve/main/Qwen3-48B-A4B-Savant-Commander-GATED-12x-Closed-Open-Source-Distill.Q8_0.gguf) | Q8_0 | 35.8 | fast, best quality |

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

![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)

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](https://www.nethype.de/), for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time.

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