--- base_model: ChuckMcSneed/Premerge-EX-EX-123B language: - en library_name: transformers license: llama2 quantized_by: mradermacher tags: - merge - mergekit --- ## About static quants of https://huggingface.co/ChuckMcSneed/Premerge-EX-EX-123B 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 | |:-----|:-----|--------:|:------| | [GGUF](https://huggingface.co/mradermacher/Premerge-EX-EX-123B-GGUF/resolve/main/Premerge-EX-EX-123B.Q2_K.gguf) | Q2_K | 45.8 | | | [PART 1](https://huggingface.co/mradermacher/Premerge-EX-EX-123B-GGUF/resolve/main/Premerge-EX-EX-123B.IQ3_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Premerge-EX-EX-123B-GGUF/resolve/main/Premerge-EX-EX-123B.IQ3_XS.gguf.part2of2) | IQ3_XS | 51.0 | | | [PART 1](https://huggingface.co/mradermacher/Premerge-EX-EX-123B-GGUF/resolve/main/Premerge-EX-EX-123B.Q3_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Premerge-EX-EX-123B-GGUF/resolve/main/Premerge-EX-EX-123B.Q3_K_S.gguf.part2of2) | Q3_K_S | 53.7 | | | [PART 1](https://huggingface.co/mradermacher/Premerge-EX-EX-123B-GGUF/resolve/main/Premerge-EX-EX-123B.IQ3_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Premerge-EX-EX-123B-GGUF/resolve/main/Premerge-EX-EX-123B.IQ3_S.gguf.part2of2) | IQ3_S | 53.9 | beats Q3_K* | | [PART 1](https://huggingface.co/mradermacher/Premerge-EX-EX-123B-GGUF/resolve/main/Premerge-EX-EX-123B.IQ3_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Premerge-EX-EX-123B-GGUF/resolve/main/Premerge-EX-EX-123B.IQ3_M.gguf.part2of2) | IQ3_M | 55.7 | | | [PART 1](https://huggingface.co/mradermacher/Premerge-EX-EX-123B-GGUF/resolve/main/Premerge-EX-EX-123B.Q3_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Premerge-EX-EX-123B-GGUF/resolve/main/Premerge-EX-EX-123B.Q3_K_M.gguf.part2of2) | Q3_K_M | 59.9 | lower quality | | [PART 1](https://huggingface.co/mradermacher/Premerge-EX-EX-123B-GGUF/resolve/main/Premerge-EX-EX-123B.Q3_K_L.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Premerge-EX-EX-123B-GGUF/resolve/main/Premerge-EX-EX-123B.Q3_K_L.gguf.part2of2) | Q3_K_L | 65.2 | | | [PART 1](https://huggingface.co/mradermacher/Premerge-EX-EX-123B-GGUF/resolve/main/Premerge-EX-EX-123B.IQ4_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Premerge-EX-EX-123B-GGUF/resolve/main/Premerge-EX-EX-123B.IQ4_XS.gguf.part2of2) | IQ4_XS | 67.1 | | | [PART 1](https://huggingface.co/mradermacher/Premerge-EX-EX-123B-GGUF/resolve/main/Premerge-EX-EX-123B.Q4_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Premerge-EX-EX-123B-GGUF/resolve/main/Premerge-EX-EX-123B.Q4_0.gguf.part2of2) | Q4_0 | 70.1 | fast, low quality | | [PART 1](https://huggingface.co/mradermacher/Premerge-EX-EX-123B-GGUF/resolve/main/Premerge-EX-EX-123B.Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Premerge-EX-EX-123B-GGUF/resolve/main/Premerge-EX-EX-123B.Q4_K_S.gguf.part2of2) | Q4_K_S | 70.6 | fast, recommended | | [PART 1](https://huggingface.co/mradermacher/Premerge-EX-EX-123B-GGUF/resolve/main/Premerge-EX-EX-123B.IQ4_NL.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Premerge-EX-EX-123B-GGUF/resolve/main/Premerge-EX-EX-123B.IQ4_NL.gguf.part2of2) | IQ4_NL | 70.8 | prefer IQ4_XS | | [PART 1](https://huggingface.co/mradermacher/Premerge-EX-EX-123B-GGUF/resolve/main/Premerge-EX-EX-123B.Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Premerge-EX-EX-123B-GGUF/resolve/main/Premerge-EX-EX-123B.Q4_K_M.gguf.part2of2) | Q4_K_M | 74.6 | fast, recommended | | [PART 1](https://huggingface.co/mradermacher/Premerge-EX-EX-123B-GGUF/resolve/main/Premerge-EX-EX-123B.Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Premerge-EX-EX-123B-GGUF/resolve/main/Premerge-EX-EX-123B.Q5_K_S.gguf.part2of2) | Q5_K_S | 85.5 | | | [PART 1](https://huggingface.co/mradermacher/Premerge-EX-EX-123B-GGUF/resolve/main/Premerge-EX-EX-123B.Q5_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Premerge-EX-EX-123B-GGUF/resolve/main/Premerge-EX-EX-123B.Q5_K_M.gguf.part2of2) | Q5_K_M | 87.8 | | | [PART 1](https://huggingface.co/mradermacher/Premerge-EX-EX-123B-GGUF/resolve/main/Premerge-EX-EX-123B.Q6_K.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/Premerge-EX-EX-123B-GGUF/resolve/main/Premerge-EX-EX-123B.Q6_K.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/Premerge-EX-EX-123B-GGUF/resolve/main/Premerge-EX-EX-123B.Q6_K.gguf.part3of3) | Q6_K | 101.9 | very good quality | | [PART 1](https://huggingface.co/mradermacher/Premerge-EX-EX-123B-GGUF/resolve/main/Premerge-EX-EX-123B.Q8_0.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/Premerge-EX-EX-123B-GGUF/resolve/main/Premerge-EX-EX-123B.Q8_0.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/Premerge-EX-EX-123B-GGUF/resolve/main/Premerge-EX-EX-123B.Q8_0.gguf.part3of3) | Q8_0 | 131.8 | 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.