--- base_model: cognitivecomputations/dolphin-2.9.2-Phi-3-Medium-abliterated datasets: - cognitivecomputations/Dolphin-2.9.2 - teknium/OpenHermes-2.5 - m-a-p/CodeFeedback-Filtered-Instruction - cognitivecomputations/dolphin-coder - cognitivecomputations/samantha-data - microsoft/orca-math-word-problems-200k - internlm/Agent-FLAN - cognitivecomputations/SystemChat-2.0 language: - en library_name: transformers license: mit quantized_by: mradermacher tags: - torrent --- [![ko-fi](https://ko-fi.com/img/githubbutton_sm.svg)](https://ko-fi.com/U7U2ZEFWU) ## About static quants of https://huggingface.co/cognitivecomputations/dolphin-2.9.2-Phi-3-Medium-abliterated weighted/imatrix quants are available at https://huggingface.co/mradermacher/dolphin-2.9.2-Phi-3-Medium-abliterated-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 | |:-----|:-----|--------:|:------| | [GGUF](https://huggingface.co/mradermacher/dolphin-2.9.2-Phi-3-Medium-abliterated-GGUF/resolve/main/dolphin-2.9.2-Phi-3-Medium-abliterated.Q2_K.gguf) | Q2_K | 5.3 | | | [GGUF](https://huggingface.co/mradermacher/dolphin-2.9.2-Phi-3-Medium-abliterated-GGUF/resolve/main/dolphin-2.9.2-Phi-3-Medium-abliterated.IQ3_XS.gguf) | IQ3_XS | 5.9 | | | [GGUF](https://huggingface.co/mradermacher/dolphin-2.9.2-Phi-3-Medium-abliterated-GGUF/resolve/main/dolphin-2.9.2-Phi-3-Medium-abliterated.Q3_K_S.gguf) | Q3_K_S | 6.2 | | | [GGUF](https://huggingface.co/mradermacher/dolphin-2.9.2-Phi-3-Medium-abliterated-GGUF/resolve/main/dolphin-2.9.2-Phi-3-Medium-abliterated.IQ3_S.gguf) | IQ3_S | 6.2 | beats Q3_K* | | [GGUF](https://huggingface.co/mradermacher/dolphin-2.9.2-Phi-3-Medium-abliterated-GGUF/resolve/main/dolphin-2.9.2-Phi-3-Medium-abliterated.IQ3_M.gguf) | IQ3_M | 6.4 | | | [GGUF](https://huggingface.co/mradermacher/dolphin-2.9.2-Phi-3-Medium-abliterated-GGUF/resolve/main/dolphin-2.9.2-Phi-3-Medium-abliterated.Q3_K_M.gguf) | Q3_K_M | 6.9 | lower quality | | [GGUF](https://huggingface.co/mradermacher/dolphin-2.9.2-Phi-3-Medium-abliterated-GGUF/resolve/main/dolphin-2.9.2-Phi-3-Medium-abliterated.Q3_K_L.gguf) | Q3_K_L | 7.4 | | | [GGUF](https://huggingface.co/mradermacher/dolphin-2.9.2-Phi-3-Medium-abliterated-GGUF/resolve/main/dolphin-2.9.2-Phi-3-Medium-abliterated.IQ4_XS.gguf) | IQ4_XS | 7.7 | | | [GGUF](https://huggingface.co/mradermacher/dolphin-2.9.2-Phi-3-Medium-abliterated-GGUF/resolve/main/dolphin-2.9.2-Phi-3-Medium-abliterated.Q4_K_S.gguf) | Q4_K_S | 8.1 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/dolphin-2.9.2-Phi-3-Medium-abliterated-GGUF/resolve/main/dolphin-2.9.2-Phi-3-Medium-abliterated.Q4_K_M.gguf) | Q4_K_M | 8.5 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/dolphin-2.9.2-Phi-3-Medium-abliterated-GGUF/resolve/main/dolphin-2.9.2-Phi-3-Medium-abliterated.Q5_K_S.gguf) | Q5_K_S | 9.7 | | | [GGUF](https://huggingface.co/mradermacher/dolphin-2.9.2-Phi-3-Medium-abliterated-GGUF/resolve/main/dolphin-2.9.2-Phi-3-Medium-abliterated.Q5_K_M.gguf) | Q5_K_M | 10.0 | | | [GGUF](https://huggingface.co/mradermacher/dolphin-2.9.2-Phi-3-Medium-abliterated-GGUF/resolve/main/dolphin-2.9.2-Phi-3-Medium-abliterated.Q6_K.gguf) | Q6_K | 11.6 | very good quality | | [GGUF](https://huggingface.co/mradermacher/dolphin-2.9.2-Phi-3-Medium-abliterated-GGUF/resolve/main/dolphin-2.9.2-Phi-3-Medium-abliterated.Q8_0.gguf) | Q8_0 | 14.9 | 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