--- base_model: PJMixers-Dev/Gemma-3-Earthen-v0.1-4B datasets: - BeaverAI/REDACTED1 - BeaverAI/REDACTED2 - BeaverAI/REDACTED3 - PJMixers-Dev/allenai_tulu-3-sft-mixture-filtered-2-ShareGPT - OpenLeecher/lmsys_chat_1m_clean - PJMixers-Dev/Gryphe_Sonnet3.5-SlimOrcaDedupCleaned-20k-ShareGPT - jeffmeloy/sonnet3.5_science_conversations - PJMixers/grimulkan_theory-of-mind-ShareGPT - PJMixers/grimulkan_physical-reasoning-ShareGPT - TheDrummer/AmoralQA-v2 - PJMixers/coedit-reworded-deduped-multiturn-sharegpt - Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned - PJMixers/Anthropic_persuasion-ShareGPT - PJMixers/Math-Multiturn-1K-ShareGPT - PJMixers/AP-News-2024-CGPT-Summarize-ShareGPT - PJMixers-Dev/allenai_WildChat-1M-gemini-exp-1206-ShareGPT - PJMixers-Dev/allenai_WildChat-1M-gemini-2.0-flash-exp-ShareGPT - PJMixers-Dev/WizardLMTeam_WizardLM_evol_instruct_70k-gemini-2.0-flash-exp-ShareGPT - PocketDoc/Dans-MemoryCore-CoreCurriculum-Small - PocketDoc/Dans-Toolmaxx-Functions-ToolACE - PocketDoc/Dans-Codemaxx-LeetCode - PocketDoc/Dans-Codemaxx-CodeFeedback-SingleTurn - PJMixers-Dev/Gryphe-Aesir-RPG-Charcards-Opus-Mixed - allura-org/gryphe-sonnet-3.5-charcards-names-added - anthracite-org/c2_logs_32k_llama3_qwen2_v1.3 - PJMixers-Dev/MinervaAI_Aesir-Preview-Anon - PJMixers-Dev/lemonilia_LimaRP-Simple-CustomShareGPT-Shuffled - Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned - PJMixers-Dev/NyxKrage_chub-logs-sharegpt-longest-CustomShareGPT - PJMixers/OpenLeecher_Teatime_all_logs_longest-ShareGPT - grimulkan/aicg-logs-augmented - grimulkan/PIPPA-augmented-dedup - PJMixers/grimulkan_bluemoon_Karen_cleaned-carded-formatted - PJMixers/lodrick-the-lafted_OpusStories-ShareGPT - Gryphe/ChatGPT-4o-Writing-Prompts - Gryphe/Opus-WritingPrompts - anthracite-org/nopm_claude_writing_fixed - PJMixers-Dev/Tiefighter-13B-Fake-Distill-ShareGPT - allura-org/fujin-instruct-v2 - PocketDoc/Dans-Prosemaxx-Adventure - PocketDoc/Dans-Failuremaxx-Adventure-3 language: - en library_name: transformers license: gemma quantized_by: mradermacher --- ## About static quants of https://huggingface.co/PJMixers-Dev/Gemma-3-Earthen-v0.1-4B weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion. ## 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/Gemma-3-Earthen-v0.1-4B-GGUF/resolve/main/Gemma-3-Earthen-v0.1-4B.Q2_K.gguf) | Q2_K | 1.8 | | | [GGUF](https://huggingface.co/mradermacher/Gemma-3-Earthen-v0.1-4B-GGUF/resolve/main/Gemma-3-Earthen-v0.1-4B.Q3_K_S.gguf) | Q3_K_S | 2.0 | | | [GGUF](https://huggingface.co/mradermacher/Gemma-3-Earthen-v0.1-4B-GGUF/resolve/main/Gemma-3-Earthen-v0.1-4B.Q3_K_M.gguf) | Q3_K_M | 2.2 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Gemma-3-Earthen-v0.1-4B-GGUF/resolve/main/Gemma-3-Earthen-v0.1-4B.Q3_K_L.gguf) | Q3_K_L | 2.3 | | | [GGUF](https://huggingface.co/mradermacher/Gemma-3-Earthen-v0.1-4B-GGUF/resolve/main/Gemma-3-Earthen-v0.1-4B.IQ4_XS.gguf) | IQ4_XS | 2.4 | | | [GGUF](https://huggingface.co/mradermacher/Gemma-3-Earthen-v0.1-4B-GGUF/resolve/main/Gemma-3-Earthen-v0.1-4B.Q4_K_S.gguf) | Q4_K_S | 2.5 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Gemma-3-Earthen-v0.1-4B-GGUF/resolve/main/Gemma-3-Earthen-v0.1-4B.Q4_K_M.gguf) | Q4_K_M | 2.6 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Gemma-3-Earthen-v0.1-4B-GGUF/resolve/main/Gemma-3-Earthen-v0.1-4B.Q5_K_S.gguf) | Q5_K_S | 2.9 | | | [GGUF](https://huggingface.co/mradermacher/Gemma-3-Earthen-v0.1-4B-GGUF/resolve/main/Gemma-3-Earthen-v0.1-4B.Q5_K_M.gguf) | Q5_K_M | 2.9 | | | [GGUF](https://huggingface.co/mradermacher/Gemma-3-Earthen-v0.1-4B-GGUF/resolve/main/Gemma-3-Earthen-v0.1-4B.Q6_K.gguf) | Q6_K | 3.3 | very good quality | | [GGUF](https://huggingface.co/mradermacher/Gemma-3-Earthen-v0.1-4B-GGUF/resolve/main/Gemma-3-Earthen-v0.1-4B.Q8_0.gguf) | Q8_0 | 4.2 | fast, best quality | | [GGUF](https://huggingface.co/mradermacher/Gemma-3-Earthen-v0.1-4B-GGUF/resolve/main/Gemma-3-Earthen-v0.1-4B.f16.gguf) | f16 | 7.9 | 16 bpw, overkill | 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.