--- language: - en library_name: transformers license: llama2 quantized_by: mradermacher tags: - Xwin - Euryale 1.3 - Platypus2 - WinterGoddess - frankenmerge - dare - ties - 90b --- ## About static quants of https://huggingface.co/llmixer/BigWeave-v12-90b ## 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/BigWeave-v12-90b-GGUF/resolve/main/BigWeave-v12-90b.Q2_K.gguf) | Q2_K | 32.7 | | | [GGUF](https://huggingface.co/mradermacher/BigWeave-v12-90b-GGUF/resolve/main/BigWeave-v12-90b.Q3_K_M.gguf) | Q3_K_M | 42.6 | lower quality | | [PART 1](https://huggingface.co/mradermacher/BigWeave-v12-90b-GGUF/resolve/main/BigWeave-v12-90b.Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/BigWeave-v12-90b-GGUF/resolve/main/BigWeave-v12-90b.Q4_K_S.gguf.part2of2) | Q4_K_S | 50.2 | fast, medium quality | | [PART 1](https://huggingface.co/mradermacher/BigWeave-v12-90b-GGUF/resolve/main/BigWeave-v12-90b.Q8_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/BigWeave-v12-90b-GGUF/resolve/main/BigWeave-v12-90b.Q8_0.gguf.part2of2) | Q8_0 | 93.6 | 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 ## 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.