--- base_model: PocketDoc/Dans-PersonalityEngine-V1.3.0-12b datasets: - PocketDoc/Dans-Prosemaxx-RP - PocketDoc/Dans-Personamaxx-Logs-2 - PocketDoc/Dans-Personamaxx-VN - PocketDoc/Dans-Kinomaxx-VanillaBackrooms - PocketDoc/Dans-Prosemaxx-Gutenberg - PocketDoc/Dans-Prosemaxx-Cowriter-3-XL - PocketDoc/Dans-Prosemaxx-Adventure - PocketDoc/Dans-Failuremaxx-Adventure-3 - PocketDoc/Dans-Prosemaxx-InstructWriter-ZeroShot-2 - PocketDoc/Dans-Prosemaxx-InstructWriter-ZeroShot-3 - PocketDoc/Dans-Prosemaxx-InstructWriter-Continue-2 - PocketDoc/Dans-Prosemaxx-Instructwriter-Long - PocketDoc/Dans-Prosemaxx-RepRemover-1 - PocketDoc/Dans-MemoryCore-CoreCurriculum-Small - AquaV/US-Army-Survival-Sharegpt - AquaV/Multi-Environment-Operations-Sharegpt - AquaV/Resistance-Sharegpt - AquaV/Interrogation-Sharegpt - AquaV/Chemical-Biological-Safety-Applications-Sharegpt - AquaV/Energetic-Materials-Sharegpt - PocketDoc/Dans-Mathmaxx - PJMixers/Math-Multiturn-1K-ShareGPT - PocketDoc/Dans-Taskmaxx - PocketDoc/Dans-Taskmaxx-DataPrepper - PocketDoc/Dans-Taskmaxx-ConcurrentQA-Reworked - PocketDoc/Dans-Taskmaxx-TableGPT - PocketDoc/Dans-Taskmaxx-SciRIFF - PocketDoc/Dans-Taskmaxx-Edit - PocketDoc/Dans-Toolmaxx-Agent - PocketDoc/Dans-Toolmaxx-ShellCommands - PocketDoc/Dans-Toolmaxx-Functions-Toolbench - PocketDoc/Dans-Toolmaxx-Functions-ToolACE - PocketDoc/Dans-Toolmaxx-Functions-apigen-subset - PocketDoc/Dans-Assistantmaxx-OpenAssistant2 - PocketDoc/Dans-Assistantmaxx-Opus-Merge-2 - PocketDoc/Dans-Assistantmaxx-sonnetorca-subset - PocketDoc/Dans-Assistantmaxx-sonnetorca-subset-2 - PocketDoc/Dans-Assistantmaxx-Synthia - PocketDoc/Dans-Assistantmaxx-ASL - PocketDoc/Dans-Assistantmaxx-PersonaLLM-Opus - PocketDoc/Dans-Assistantmaxx-LongAlign - PocketDoc/Dans-Assistantmaxx-OpenLeecher-Instruct - PocketDoc/Dans-Assistantmaxx-Tulu3-IF - PocketDoc/Dans-Systemmaxx - PocketDoc/Dans-Logicmaxx-SAT-AP - PJMixers/grimulkan_theory-of-mind-ShareGPT - PJMixers/grimulkan_physical-reasoning-ShareGPT - PocketDoc/Dans-Reasoningmaxx-NaturalReasoning - PocketDoc/Dans-Reasoningmaxx-WebInstruct - PocketDoc/Dans-Reasoningmaxx-GeneralReasoning - PocketDoc/Dans-Assistantmaxx-ClosedInstruct language: - en - ar - de - fr - es - hi - pt - ja - ko library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - general-purpose - roleplay - storywriting - chemistry - biology - code - climate - axolotl - text-generation-inference - finetune - legal - medical - finance --- ## About weighted/imatrix quants of https://huggingface.co/PocketDoc/Dans-PersonalityEngine-V1.3.0-12b ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Dans-PersonalityEngine-V1.3.0-12b-i1-GGUF).*** static quants are available at https://huggingface.co/mradermacher/Dans-PersonalityEngine-V1.3.0-12b-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/Dans-PersonalityEngine-V1.3.0-12b-i1-GGUF/resolve/main/Dans-PersonalityEngine-V1.3.0-12b.i1-IQ1_S.gguf) | i1-IQ1_S | 3.1 | for the desperate | | [GGUF](https://huggingface.co/mradermacher/Dans-PersonalityEngine-V1.3.0-12b-i1-GGUF/resolve/main/Dans-PersonalityEngine-V1.3.0-12b.i1-IQ1_M.gguf) | i1-IQ1_M | 3.3 | mostly desperate | | [GGUF](https://huggingface.co/mradermacher/Dans-PersonalityEngine-V1.3.0-12b-i1-GGUF/resolve/main/Dans-PersonalityEngine-V1.3.0-12b.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 3.7 | | | [GGUF](https://huggingface.co/mradermacher/Dans-PersonalityEngine-V1.3.0-12b-i1-GGUF/resolve/main/Dans-PersonalityEngine-V1.3.0-12b.i1-IQ2_XS.gguf) | i1-IQ2_XS | 4.0 | | | [GGUF](https://huggingface.co/mradermacher/Dans-PersonalityEngine-V1.3.0-12b-i1-GGUF/resolve/main/Dans-PersonalityEngine-V1.3.0-12b.i1-IQ2_S.gguf) | i1-IQ2_S | 4.2 | | | [GGUF](https://huggingface.co/mradermacher/Dans-PersonalityEngine-V1.3.0-12b-i1-GGUF/resolve/main/Dans-PersonalityEngine-V1.3.0-12b.i1-IQ2_M.gguf) | i1-IQ2_M | 4.5 | | | [GGUF](https://huggingface.co/mradermacher/Dans-PersonalityEngine-V1.3.0-12b-i1-GGUF/resolve/main/Dans-PersonalityEngine-V1.3.0-12b.i1-Q2_K_S.gguf) | i1-Q2_K_S | 4.6 | very low quality | | [GGUF](https://huggingface.co/mradermacher/Dans-PersonalityEngine-V1.3.0-12b-i1-GGUF/resolve/main/Dans-PersonalityEngine-V1.3.0-12b.i1-Q2_K.gguf) | i1-Q2_K | 4.9 | IQ3_XXS probably better | | [GGUF](https://huggingface.co/mradermacher/Dans-PersonalityEngine-V1.3.0-12b-i1-GGUF/resolve/main/Dans-PersonalityEngine-V1.3.0-12b.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 5.0 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Dans-PersonalityEngine-V1.3.0-12b-i1-GGUF/resolve/main/Dans-PersonalityEngine-V1.3.0-12b.i1-IQ3_XS.gguf) | i1-IQ3_XS | 5.4 | | | [GGUF](https://huggingface.co/mradermacher/Dans-PersonalityEngine-V1.3.0-12b-i1-GGUF/resolve/main/Dans-PersonalityEngine-V1.3.0-12b.i1-Q3_K_S.gguf) | i1-Q3_K_S | 5.6 | IQ3_XS probably better | | [GGUF](https://huggingface.co/mradermacher/Dans-PersonalityEngine-V1.3.0-12b-i1-GGUF/resolve/main/Dans-PersonalityEngine-V1.3.0-12b.i1-IQ3_S.gguf) | i1-IQ3_S | 5.7 | beats Q3_K* | | [GGUF](https://huggingface.co/mradermacher/Dans-PersonalityEngine-V1.3.0-12b-i1-GGUF/resolve/main/Dans-PersonalityEngine-V1.3.0-12b.i1-IQ3_M.gguf) | i1-IQ3_M | 5.8 | | | [GGUF](https://huggingface.co/mradermacher/Dans-PersonalityEngine-V1.3.0-12b-i1-GGUF/resolve/main/Dans-PersonalityEngine-V1.3.0-12b.i1-Q3_K_M.gguf) | i1-Q3_K_M | 6.2 | IQ3_S probably better | | [GGUF](https://huggingface.co/mradermacher/Dans-PersonalityEngine-V1.3.0-12b-i1-GGUF/resolve/main/Dans-PersonalityEngine-V1.3.0-12b.i1-Q3_K_L.gguf) | i1-Q3_K_L | 6.7 | IQ3_M probably better | | [GGUF](https://huggingface.co/mradermacher/Dans-PersonalityEngine-V1.3.0-12b-i1-GGUF/resolve/main/Dans-PersonalityEngine-V1.3.0-12b.i1-IQ4_XS.gguf) | i1-IQ4_XS | 6.8 | | | [GGUF](https://huggingface.co/mradermacher/Dans-PersonalityEngine-V1.3.0-12b-i1-GGUF/resolve/main/Dans-PersonalityEngine-V1.3.0-12b.i1-Q4_0.gguf) | i1-Q4_0 | 7.2 | fast, low quality | | [GGUF](https://huggingface.co/mradermacher/Dans-PersonalityEngine-V1.3.0-12b-i1-GGUF/resolve/main/Dans-PersonalityEngine-V1.3.0-12b.i1-IQ4_NL.gguf) | i1-IQ4_NL | 7.2 | prefer IQ4_XS | | [GGUF](https://huggingface.co/mradermacher/Dans-PersonalityEngine-V1.3.0-12b-i1-GGUF/resolve/main/Dans-PersonalityEngine-V1.3.0-12b.i1-Q4_K_S.gguf) | i1-Q4_K_S | 7.2 | optimal size/speed/quality | | [GGUF](https://huggingface.co/mradermacher/Dans-PersonalityEngine-V1.3.0-12b-i1-GGUF/resolve/main/Dans-PersonalityEngine-V1.3.0-12b.i1-Q4_K_M.gguf) | i1-Q4_K_M | 7.6 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Dans-PersonalityEngine-V1.3.0-12b-i1-GGUF/resolve/main/Dans-PersonalityEngine-V1.3.0-12b.i1-Q4_1.gguf) | i1-Q4_1 | 7.9 | | | [GGUF](https://huggingface.co/mradermacher/Dans-PersonalityEngine-V1.3.0-12b-i1-GGUF/resolve/main/Dans-PersonalityEngine-V1.3.0-12b.i1-Q5_K_S.gguf) | i1-Q5_K_S | 8.6 | | | [GGUF](https://huggingface.co/mradermacher/Dans-PersonalityEngine-V1.3.0-12b-i1-GGUF/resolve/main/Dans-PersonalityEngine-V1.3.0-12b.i1-Q5_K_M.gguf) | i1-Q5_K_M | 8.8 | | | [GGUF](https://huggingface.co/mradermacher/Dans-PersonalityEngine-V1.3.0-12b-i1-GGUF/resolve/main/Dans-PersonalityEngine-V1.3.0-12b.i1-Q6_K.gguf) | i1-Q6_K | 10.2 | 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.