--- datasets: - jondurbin/airoboros-2.2.1 language: - en library_name: transformers license: other license_link: https://huggingface.co/tiiuae/falcon-180B/raw/main/LICENSE.txt license_name: falcon-180b-tii-license-1.0 quantized_by: mradermacher --- ## About static quants of https://huggingface.co/jondurbin/airoboros-180b-2.2.1 weighted/imatrix quants are available at https://huggingface.co/mradermacher/airoboros-180b-2.2.1-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/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q2_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q2_K.gguf.part2of2) | Q2_K | 67.8 | | | [PART 1](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q3_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q3_K_S.gguf.part2of2) | Q3_K_S | 78.8 | | | [PART 1](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q3_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q3_K_M.gguf.part2of2) | Q3_K_M | 86.5 | lower quality | | [PART 1](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q3_K_L.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q3_K_L.gguf.part2of2) | Q3_K_L | 93.0 | | | [PART 1](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q4_K_S.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q4_K_S.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q4_K_S.gguf.part3of3) | Q4_K_S | 102.5 | fast, medium quality | | [PART 1](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q4_K_M.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q4_K_M.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q4_K_M.gguf.part3of3) | Q4_K_M | 109.8 | fast, medium quality | | [PART 1](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q5_K_S.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q5_K_S.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q5_K_S.gguf.part3of3) | Q5_K_S | 124.8 | | | [PART 1](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q5_K_M.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q5_K_M.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q5_K_M.gguf.part3of3) | Q5_K_M | 132.0 | | | [PART 1](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q6_K.gguf.part1of4) [PART 2](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q6_K.gguf.part2of4) [PART 3](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q6_K.gguf.part3of4) [PART 4](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q6_K.gguf.part4of4) | Q6_K | 148.5 | very good quality | | [PART 1](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q8_0.gguf.part1of4) [PART 2](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q8_0.gguf.part2of4) [PART 3](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q8_0.gguf.part3of4) [PART 4](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q8_0.gguf.part4of4) | Q8_0 | 191.8 | 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