--- base_model: Tower-Babel/Babel-83B-Chat language: - en - zh - hi - es - fr - ar - bn - ru - pt - id - ur - de - ja - sw - ta - tr - ko - vi - jv - it - ha - th - fa - tl - my library_name: transformers license: other license_link: https://huggingface.co./SeaLLMs/SeaLLM-13B-Chat/blob/main/LICENSE license_name: seallm quantized_by: mradermacher tags: - multilingual - babel --- ## About weighted/imatrix quants of https://huggingface.co./Tower-Babel/Babel-83B-Chat static quants are available at https://huggingface.co./mradermacher/Babel-83B-Chat-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/Babel-83B-Chat-i1-GGUF/resolve/main/Babel-83B-Chat.i1-IQ1_M.gguf) | i1-IQ1_M | 27.2 | mostly desperate | | [GGUF](https://huggingface.co./mradermacher/Babel-83B-Chat-i1-GGUF/resolve/main/Babel-83B-Chat.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 29.2 | | | [GGUF](https://huggingface.co./mradermacher/Babel-83B-Chat-i1-GGUF/resolve/main/Babel-83B-Chat.i1-IQ2_M.gguf) | i1-IQ2_M | 33.6 | | | [GGUF](https://huggingface.co./mradermacher/Babel-83B-Chat-i1-GGUF/resolve/main/Babel-83B-Chat.i1-Q2_K_S.gguf) | i1-Q2_K_S | 33.8 | very low quality | | [GGUF](https://huggingface.co./mradermacher/Babel-83B-Chat-i1-GGUF/resolve/main/Babel-83B-Chat.i1-Q2_K.gguf) | i1-Q2_K | 34.1 | IQ3_XXS probably better | | [GGUF](https://huggingface.co./mradermacher/Babel-83B-Chat-i1-GGUF/resolve/main/Babel-83B-Chat.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 36.4 | lower quality | | [GGUF](https://huggingface.co./mradermacher/Babel-83B-Chat-i1-GGUF/resolve/main/Babel-83B-Chat.i1-Q3_K_S.gguf) | i1-Q3_K_S | 39.3 | IQ3_XS probably better | | [GGUF](https://huggingface.co./mradermacher/Babel-83B-Chat-i1-GGUF/resolve/main/Babel-83B-Chat.i1-IQ3_M.gguf) | i1-IQ3_M | 40.6 | | | [GGUF](https://huggingface.co./mradermacher/Babel-83B-Chat-i1-GGUF/resolve/main/Babel-83B-Chat.i1-Q3_K_M.gguf) | i1-Q3_K_M | 43.1 | IQ3_S probably better | | [GGUF](https://huggingface.co./mradermacher/Babel-83B-Chat-i1-GGUF/resolve/main/Babel-83B-Chat.i1-IQ4_XS.gguf) | i1-IQ4_XS | 45.5 | | | [PART 1](https://huggingface.co./mradermacher/Babel-83B-Chat-i1-GGUF/resolve/main/Babel-83B-Chat.i1-Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co./mradermacher/Babel-83B-Chat-i1-GGUF/resolve/main/Babel-83B-Chat.i1-Q4_K_S.gguf.part2of2) | i1-Q4_K_S | 50.2 | optimal size/speed/quality | | [PART 1](https://huggingface.co./mradermacher/Babel-83B-Chat-i1-GGUF/resolve/main/Babel-83B-Chat.i1-Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co./mradermacher/Babel-83B-Chat-i1-GGUF/resolve/main/Babel-83B-Chat.i1-Q4_K_M.gguf.part2of2) | i1-Q4_K_M | 54.3 | fast, recommended | | [PART 1](https://huggingface.co./mradermacher/Babel-83B-Chat-i1-GGUF/resolve/main/Babel-83B-Chat.i1-Q6_K.gguf.part1of2) [PART 2](https://huggingface.co./mradermacher/Babel-83B-Chat-i1-GGUF/resolve/main/Babel-83B-Chat.i1-Q6_K.gguf.part2of2) | i1-Q6_K | 73.8 | practically like static Q6_K | 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. Additional thanks to [@nicoboss](https://huggingface.co./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.