| --- |
| base_model: ArliAI/GLM-4.6-REAP-218B-A32B-Derestricted |
| language: |
| - en |
| library_name: transformers |
| license: mit |
| mradermacher: |
| readme_rev: 1 |
| quantized_by: mradermacher |
| tags: |
| - abliterated |
| - derestricted |
| - glm-4.6 |
| - unlimited |
| - 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/ArliAI/GLM-4.6-REAP-218B-A32B-Derestricted |
| |
| <!-- provided-files --> |
| |
| ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#GLM-4.6-REAP-218B-A32B-Derestricted-GGUF).*** |
| |
| weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion. |
| ## 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 | |
| |:-----|:-----|--------:|:------| |
| | [PART 1](https://huggingface.co/mradermacher/GLM-4.6-REAP-218B-A32B-Derestricted-GGUF/resolve/main/GLM-4.6-REAP-218B-A32B-Derestricted.Q2_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/GLM-4.6-REAP-218B-A32B-Derestricted-GGUF/resolve/main/GLM-4.6-REAP-218B-A32B-Derestricted.Q2_K.gguf.part2of2) | Q2_K | 79.9 | | |
| | [PART 1](https://huggingface.co/mradermacher/GLM-4.6-REAP-218B-A32B-Derestricted-GGUF/resolve/main/GLM-4.6-REAP-218B-A32B-Derestricted.Q3_K_M.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/GLM-4.6-REAP-218B-A32B-Derestricted-GGUF/resolve/main/GLM-4.6-REAP-218B-A32B-Derestricted.Q3_K_M.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/GLM-4.6-REAP-218B-A32B-Derestricted-GGUF/resolve/main/GLM-4.6-REAP-218B-A32B-Derestricted.Q3_K_M.gguf.part3of3) | Q3_K_M | 104.5 | lower quality | |
| | [PART 1](https://huggingface.co/mradermacher/GLM-4.6-REAP-218B-A32B-Derestricted-GGUF/resolve/main/GLM-4.6-REAP-218B-A32B-Derestricted.Q4_K_S.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/GLM-4.6-REAP-218B-A32B-Derestricted-GGUF/resolve/main/GLM-4.6-REAP-218B-A32B-Derestricted.Q4_K_S.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/GLM-4.6-REAP-218B-A32B-Derestricted-GGUF/resolve/main/GLM-4.6-REAP-218B-A32B-Derestricted.Q4_K_S.gguf.part3of3) | Q4_K_S | 124.1 | fast, recommended | |
| | [PART 1](https://huggingface.co/mradermacher/GLM-4.6-REAP-218B-A32B-Derestricted-GGUF/resolve/main/GLM-4.6-REAP-218B-A32B-Derestricted.Q6_K.gguf.part1of4) [PART 2](https://huggingface.co/mradermacher/GLM-4.6-REAP-218B-A32B-Derestricted-GGUF/resolve/main/GLM-4.6-REAP-218B-A32B-Derestricted.Q6_K.gguf.part2of4) [PART 3](https://huggingface.co/mradermacher/GLM-4.6-REAP-218B-A32B-Derestricted-GGUF/resolve/main/GLM-4.6-REAP-218B-A32B-Derestricted.Q6_K.gguf.part3of4) [PART 4](https://huggingface.co/mradermacher/GLM-4.6-REAP-218B-A32B-Derestricted-GGUF/resolve/main/GLM-4.6-REAP-218B-A32B-Derestricted.Q6_K.gguf.part4of4) | Q6_K | 179.4 | very good quality | |
| | [P1](https://huggingface.co/mradermacher/GLM-4.6-REAP-218B-A32B-Derestricted-GGUF/resolve/main/GLM-4.6-REAP-218B-A32B-Derestricted.Q8_0.gguf.part1of5) [P2](https://huggingface.co/mradermacher/GLM-4.6-REAP-218B-A32B-Derestricted-GGUF/resolve/main/GLM-4.6-REAP-218B-A32B-Derestricted.Q8_0.gguf.part2of5) [P3](https://huggingface.co/mradermacher/GLM-4.6-REAP-218B-A32B-Derestricted-GGUF/resolve/main/GLM-4.6-REAP-218B-A32B-Derestricted.Q8_0.gguf.part3of5) [P4](https://huggingface.co/mradermacher/GLM-4.6-REAP-218B-A32B-Derestricted-GGUF/resolve/main/GLM-4.6-REAP-218B-A32B-Derestricted.Q8_0.gguf.part4of5) [P5](https://huggingface.co/mradermacher/GLM-4.6-REAP-218B-A32B-Derestricted-GGUF/resolve/main/GLM-4.6-REAP-218B-A32B-Derestricted.Q8_0.gguf.part5of5) | Q8_0 | 232.3 | 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](https://www.nethype.de/), for letting |
| me use its servers and providing upgrades to my workstation to enable |
| this work in my free time. |
| |
| <!-- end --> |
| |
