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For a convenient overview and download list, visit our model page for this model.
Modellquelle
Quellenbeschreibung
static quants of https://huggingface.co/mlabonne/Qwen3-4B-abliterated
For a convenient overview and download list, visit our model page for this model.
weighted/imatrix quants are available at
Quellen
1 QuelleVerifiziert 28. Sept.
Modellartefakte
12 ArtefakteQwen3-4B-abliterated.IQ4_XS.gguf
gguf · 2,13 GB · SHA-256 94a7778c1ae7…aacd · Hugging Face
HerunterladenQuellenauszüge
2 AuszügeIf you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.
(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
And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.
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.
Qwen3-4B-abliterated.Q2_K.gguf
gguf · 1,55 GB · SHA-256 834ddf233c95…c9d0 · Hugging Face
Qwen3-4B-abliterated.Q3_K_L.gguf
gguf · 2,09 GB · SHA-256 fbad0268b243…5c33 · Hugging Face
HerunterladenQwen3-4B-abliterated.Q3_K_M.gguf
gguf · 1,93 GB · SHA-256 62ca1714535d…2822 · Hugging Face
HerunterladenQwen3-4B-abliterated.Q3_K_S.gguf
gguf · 1,76 GB · SHA-256 368b9ee74779…cbd7 · Hugging Face
HerunterladenQwen3-4B-abliterated.Q4_K_M.gguf
gguf · 2,33 GB · SHA-256 655eb731037f…1302 · Hugging Face
HerunterladenQwen3-4B-abliterated.Q4_K_S.gguf
gguf · 2,22 GB · SHA-256 fce7cf2b64d8…9ff5 · Hugging Face
HerunterladenQwen3-4B-abliterated.Q5_K_M.gguf
gguf · 2,69 GB · SHA-256 054fe47a3730…c307 · Hugging Face
HerunterladenQwen3-4B-abliterated.Q5_K_S.gguf
gguf · 2,63 GB · SHA-256 423f6c0f24b5…9d9a · Hugging Face
HerunterladenQwen3-4B-abliterated.Q6_K.gguf
gguf · 3,08 GB · SHA-256 2c0a432ec0a2…c0d3 · Hugging Face
HerunterladenQwen3-4B-abliterated.Q8_0.gguf
gguf · 3,99 GB · SHA-256 ed5b132d86ad…a9a6 · Hugging Face
Herunterladen--- base_model: mlabonne/Qwen3-4B-abliterated language: - en library_name: transformers license: apache-2.0 license_link: https://huggingface.co/Qwen/Qwen3-0.6B/blob/main/LICENSE mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - abliteration - abliterated --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> static quants of https://huggingface.co/mlabonne/Qwen3-4B-abliterated <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Qwen3-4B-abliterated-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen3-4B-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](https://huggingface.co/mradermacher/Qwen3-4B-abliterated-GGUF/resolve/main/Qwen3-4B-abliterated.Q2_K.gguf) | Q2_K | 1.8 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-abliterated-GGUF/resolve/main/Qwen3-4B-abliterated.Q3_K_S.gguf) | Q3_K_S | 2.0 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-abliterated-GGUF/resolve/main/Qwen3-4B-abliterated.Q3_K_M.gguf) | Q3_K_M | 2.2 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-abliterated-GGUF/resolve/main/Qwen3-4B-abliterated.Q3_K_L.gguf) | Q3_K_L | 2.3 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-abliterated-GGUF/resolve/main/Qwen3-4B-abliterated.IQ4_XS.gguf) | IQ4_XS | 2.4 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-abliterated-GGUF/resolve/main/Qwen3-4B-abliterated.Q4_K_S.gguf) | Q4_K_S | 2.5 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-abliterated-GGUF/resolve/main/Qwen3-4B-abliterated.Q4_K_M.gguf) | Q4_K_M | 2.6 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-abliterated-GGUF/resolve/main/Qwen3-4B-abliterated.Q5_K_S.gguf) | Q5_K_S | 2.9 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-abliterated...
Source context: 3044 downloads · 3 likes · Library transformers · Repo mradermacher/Qwen3-4B-abliterated-GGUF
| IQ4_XS |
| 2.4 |
| GGUF | Q4_K_S | 2.5 | fast, recommended |
| GGUF | Q4_K_M | 2.6 | fast, recommended |
| GGUF | Q5_K_S | 2.9 |
| GGUF | Q5_K_M | 3.0 |
| GGUF | Q6_K | 3.4 | very good quality |
| GGUF | Q8_0 | 4.4 | fast, best quality |
| GGUF | f16 | 8.2 | 16 bpw, overkill |
