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weighted/imatrix quants of https://huggingface.co/jenerallee78/Qwen3.6-35B-A3B-Abliterix-EGA-abliterated
Fuente del modelo
Descripción de la fuente
weighted/imatrix quants of https://huggingface.co/jenerallee78/Qwen3.6-35B-A3B-Abliterix-EGA-abliterated
For a convenient overview and download list, visit our model page for this model.
static quants are available at
Fuentes
1 fuenteVerificado 9 sept
Artefactos del modelo
1 artefactoQwen3.6-35B-A3B-Abliterix-EGA-abliterated.i1-IQ1_M.gguf
gguf · 7,67 GB · SHA-256 75c451ecede1…5676 · Hugging Face
DescargarExtractos de fuentes
3 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)
| Link | Type | Size/GB | Notes |
|---|---|---|---|
| GGUF | imatrix | 0.3 | imatrix file (for creating your own quants) |
| GGUF | i1-IQ1_S | 7.6 | for the desperate |
| GGUF | i1-IQ1_M | 8.3 | mostly desperate |
| GGUF | i1-IQ2_XXS | 9.6 |
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. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.
--- base_model: jenerallee78/Qwen3.6-35B-A3B-Abliterix-EGA-abliterated language: - en - zh library_name: transformers license: agpl-3.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - abliteration - uncensored - qwen3.6 - qwen - qwen-vl - moe - abliterix - ega - expert-granular-abliteration - multimodal - vision - image-text-to-text - conversational --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: nicoboss --> <!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K_M Q4_0 IQ3_XS Q4_1 IQ3_S --> <!-- ### quants_skip: --> <!-- ### skip_mmproj: --> weighted/imatrix quants of https://huggingface.co/jenerallee78/Qwen3.6-35B-A3B-Abliterix-EGA-abliterated <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Qwen3.6-35B-A3B-Abliterix-EGA-abliterated-i1-GGUF).*** static quants are available at https://huggingface.co/mradermacher/Qwen3.6-35B-A3B-Abliterix-EGA-abliterated-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/Qwen3.6-35B-A3B-Abliterix-EGA-abliterated-i1-GGUF/resolve/main/Qwen3.6-35B-A3B-Abliterix-EGA-abliterated.imatrix.gguf) | imatrix | 0.3 | imatrix file (for creating your own quants) | | [GGUF](https://huggingface.co/mradermacher/Qwen3.6-35B-A3B-Abliterix-EGA-abliterated-i1-GGUF/resolve/main/Qwen3.6-35B-A3B-Abliterix-EGA-abliterated.i1-IQ1_S.gguf) | i1-IQ1_S | 7.6 | for the desperate | | [GGUF](https://huggingface.co/mradermacher/Qwen3.6-35B-A3B-Abliterix-EGA-abliterated-i1-GGUF/resolve/main/Qwen3.6-35B-A3B-Abliterix-EGA-abliterated.i1-IQ1_M.gguf) | i1-IQ1_M | 8.3 | mostly desperate | | [GGUF](https://huggingface.co/mradermacher/Qwen3.6-35B-A3B-Abliterix-EGA-abliterated-i1-GGUF/resolve/main/Qwen3.6-35B-A3B-Abliterix-EGA-abliterated.i1-IQ2_XXS.gg...
Source context: 222 downloads · 3 likes · Pipeline image-text-to-text · Library transformers · Repo mradermacher/Qwen3.6-35B-A3B-Abliterix-EGA-abliterated-i1-GGUF
Source context: 410 downloads · 3 likes · Pipeline image-text-to-text · Library transformers · Repo mradermacher/Qwen3.6-35B-A3B-Abliterix-EGA-abliterated-i1-GGUF
| GGUF | i1-IQ2_XS | 10.6 |
| GGUF | i1-IQ2_S | 10.8 |
| GGUF | i1-IQ2_M | 11.8 |
| GGUF | i1-Q2_K_S | 12.3 | very low quality |
| GGUF | i1-Q2_K | 13.0 | IQ3_XXS probably better |
| GGUF | i1-IQ3_XXS | 13.7 | lower quality |
| GGUF | i1-IQ3_XS | 14.6 |
| GGUF | i1-Q3_K_S | 15.3 | IQ3_XS probably better |
| GGUF | i1-IQ3_S | 15.4 | beats Q3_K* |
| GGUF | i1-IQ3_M | 15.5 |
| GGUF | i1-Q3_K_M | 16.9 | IQ3_S probably better |
| GGUF | i1-Q3_K_L | 18.2 | IQ3_M probably better |
| GGUF | i1-IQ4_XS | 18.8 |
| GGUF | i1-Q4_0 | 19.9 | fast, low quality |
| GGUF | i1-Q4_K_S | 20.0 | optimal size/speed/quality |
| GGUF | i1-Q4_K_M | 21.3 | fast, recommended |
| GGUF | i1-Q4_1 | 21.9 |
| GGUF | i1-Q5_K_S | 24.1 |
| GGUF | i1-Q5_K_M | 24.8 |
| GGUF | i1-Q6_K | 28.6 | practically like static Q6_K |
