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For a convenient overview and download list, visit our model page for this model.
Fuente del modelo
Descripción de la fuente
static quants of https://huggingface.co/huihui-ai/Huihui-Qwen3-4B-Instruct-2507-abliterated
For a convenient overview and download list, visit our model page for this model.
weighted/imatrix quants are available at
Fuentes
1 fuenteVerificado 14 oct
Artefactos del modelo
12 artefactosExtractos de fuentes
2 extractosIf 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.
Huihui-Qwen3-4B-Instruct-2507-abliterated.Q2_K.gguf
gguf · 1,55 GB · SHA-256 f68f240d7bda…401b · Hugging Face
DescargarHuihui-Qwen3-4B-Instruct-2507-abliterated.Q3_K_L.gguf
gguf · 2,09 GB · SHA-256 962e2487b322…9283 · Hugging Face
DescargarHuihui-Qwen3-4B-Instruct-2507-abliterated.Q3_K_M.gguf
gguf · 1,93 GB · SHA-256 99b57b42c71c…6602 · Hugging Face
DescargarHuihui-Qwen3-4B-Instruct-2507-abliterated.Q3_K_S.gguf
gguf · 1,76 GB · SHA-256 ae164a1f16f6…2b6b · Hugging Face
DescargarHuihui-Qwen3-4B-Instruct-2507-abliterated.Q4_K_M.gguf
gguf · 2,33 GB · SHA-256 b1324e2f1bd2…78d7 · Hugging Face
DescargarHuihui-Qwen3-4B-Instruct-2507-abliterated.Q4_K_S.gguf
gguf · 2,22 GB · SHA-256 2997a9c36a8e…0544 · Hugging Face
DescargarHuihui-Qwen3-4B-Instruct-2507-abliterated.Q5_K_M.gguf
gguf · 2,69 GB · SHA-256 3b50bafc8870…e6e8 · Hugging Face
DescargarHuihui-Qwen3-4B-Instruct-2507-abliterated.Q5_K_S.gguf
gguf · 2,63 GB · SHA-256 874d8e1d8cfa…0e8c · Hugging Face
DescargarHuihui-Qwen3-4B-Instruct-2507-abliterated.Q6_K.gguf
gguf · 3,08 GB · SHA-256 af2b42201062…0ea2 · Hugging Face
DescargarHuihui-Qwen3-4B-Instruct-2507-abliterated.Q8_0.gguf
gguf · 3,99 GB · SHA-256 f3b6a790d226…2f31 · Hugging Face
Descargar--- base_model: huihui-ai/Huihui-Qwen3-4B-Instruct-2507-abliterated language: - en library_name: transformers license: apache-2.0 license_link: https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507/blob/main/LICENSE mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - abliterated - uncensored --- ## 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/huihui-ai/Huihui-Qwen3-4B-Instruct-2507-abliterated <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Huihui-Qwen3-4B-Instruct-2507-abliterated-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Huihui-Qwen3-4B-Instruct-2507-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/Huihui-Qwen3-4B-Instruct-2507-abliterated-GGUF/resolve/main/Huihui-Qwen3-4B-Instruct-2507-abliterated.Q2_K.gguf) | Q2_K | 1.8 | | | [GGUF](https://huggingface.co/mradermacher/Huihui-Qwen3-4B-Instruct-2507-abliterated-GGUF/resolve/main/Huihui-Qwen3-4B-Instruct-2507-abliterated.Q3_K_S.gguf) | Q3_K_S | 2.0 | | | [GGUF](https://huggingface.co/mradermacher/Huihui-Qwen3-4B-Instruct-2507-abliterated-GGUF/resolve/main/Huihui-Qwen3-4B-Instruct-2507-abliterated.Q3_K_M.gguf) | Q3_K_M | 2.2 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Huihui-Qwen3-4B-Instruct-2507-abliterated-GGUF/resolve/main/Huihui-Qwen3-4B-Instruct-2507-abliterated.Q3_K_L.gguf) | Q3_K_L | 2.3 | | | [GGUF](https://huggingface.co/mradermacher/Huihui-Qwen3-4B-Instruct-2507-abliterated-GGUF/resolve/main/Huihui-Qwen3-4B-Instruct-2507-abliterated.IQ4_XS.gguf) | IQ4_XS | 2.4 | | | [GGUF](https://huggingface.co/mradermacher/Huihui-Qwen...
Source context: 13013 downloads · 14 likes · Library transformers · Repo mradermacher/Huihui-Qwen3-4B-Instruct-2507-abliterated-GGUF
| 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 |
