--- base_model: xai-org/grok-1 language: - en library_name: transformers license: apache-2.0 quantized_by: mradermacher tags: - grok-1 --- ## About static quants of https://huggingface.co/xai-org/grok-1 weighted/imatrix quants are available at https://huggingface.co/mradermacher/grok-1-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 | |:-----|:-----|--------:|:------| | [PART 1](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q2_K.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q2_K.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q2_K.gguf.part3of3) | Q2_K | 116.3 | | | [PART 1](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q3_K_S.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q3_K_S.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q3_K_S.gguf.part3of3) | Q3_K_S | 137.6 | | | [PART 1](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q3_K_M.gguf.part1of4) [PART 2](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q3_K_M.gguf.part2of4) [PART 3](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q3_K_M.gguf.part3of4) [PART 4](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q3_K_M.gguf.part4of4) | Q3_K_M | 152.1 | lower quality | | [PART 1](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q3_K_L.gguf.part1of4) [PART 2](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q3_K_L.gguf.part2of4) [PART 3](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q3_K_L.gguf.part3of4) [PART 4](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q3_K_L.gguf.part4of4) | Q3_K_L | 163.5 | | | [PART 1](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q4_K_S.gguf.part1of4) [PART 2](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q4_K_S.gguf.part2of4) [PART 3](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q4_K_S.gguf.part3of4) [PART 4](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q4_K_S.gguf.part4of4) | Q4_K_S | 180.7 | fast, recommended | | [PART 1](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q4_K_M.gguf.part1of4) [PART 2](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q4_K_M.gguf.part2of4) [PART 3](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q4_K_M.gguf.part3of4) [PART 4](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q4_K_M.gguf.part4of4) | Q4_K_M | 192.3 | fast, recommended | | [P1](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q5_K_S.gguf.part1of5) [P2](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q5_K_S.gguf.part2of5) [P3](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q5_K_S.gguf.part3of5) [P4](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q5_K_S.gguf.part4of5) [P5](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q5_K_S.gguf.part5of5) | Q5_K_S | 218.1 | | | [P1](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q5_K_M.gguf.part1of5) [P2](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q5_K_M.gguf.part2of5) [P3](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q5_K_M.gguf.part3of5) [P4](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q5_K_M.gguf.part4of5) [P5](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q5_K_M.gguf.part5of5) | Q5_K_M | 225.0 | | | [P1](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q6_K.gguf.part1of6) [P2](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q6_K.gguf.part2of6) [P3](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q6_K.gguf.part3of6) [P4](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q6_K.gguf.part4of6) [P5](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q6_K.gguf.part5of6) [P6](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q6_K.gguf.part6of6) | Q6_K | 259.9 | very good quality | | [P1](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q8_0.gguf.part1of7) [P2](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q8_0.gguf.part2of7) [P3](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q8_0.gguf.part3of7) [P4](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q8_0.gguf.part4of7) [P5](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q8_0.gguf.part5of7) [P6](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q8_0.gguf.part6of7) [P7](https://huggingface.co/mradermacher/grok-1-GGUF/resolve/main/grok-1.Q8_0.gguf.part7of7) | Q8_0 | 336.4 | 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.