mradermacher
/

SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF

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 <!-- ### quantize_version: 2 -->
 <!-- ### output_tensor_quantised: 1 -->
 <!-- ### convert_type: hf -->
 <!-- ### vocab_type:  -->
 <!-- ### tags: nicoboss -->
 weighted/imatrix quants of https://huggingface.co/LeroyDyer/SpydazWeb_AI_LCARS_Humanization_003

+---
+base_model: LeroyDyer/SpydazWeb_AI_LCARS_Humanization_003
+datasets:
+- gretelai/synthetic_text_to_sql
+- HuggingFaceTB/cosmopedia
+- teknium/OpenHermes-2.5
+- Open-Orca/SlimOrca
+- Severian/Internal-Knowledge-Map
+- Open-Orca/OpenOrca
+- cognitivecomputations/dolphin-coder
+- databricks/databricks-dolly-15k
+- yahma/alpaca-cleaned
+- uonlp/CulturaX
+- mwitiderrick/SwahiliPlatypus
+- NexusAI-tddi/OpenOrca-tr-1-million-sharegpt
+- Vezora/Open-Critic-GPT
+- verifiers-for-code/deepseek_plans_test
+- meta-math/MetaMathQA
+- KbsdJames/Omni-MATH
+- swahili
+- Rogendo/English-Swahili-Sentence-Pairs
+- ise-uiuc/Magicoder-Evol-Instruct-110K
+- meta-math/MetaMathQA
+- abacusai/ARC_DPO_FewShot
+- abacusai/MetaMath_DPO_FewShot
+- abacusai/HellaSwag_DPO_FewShot
+- HaltiaAI/Her-The-Movie-Samantha-and-Theodore-Dataset
+- HuggingFaceFW/fineweb
+- occiglot/occiglot-fineweb-v0.5
+- omi-health/medical-dialogue-to-soap-summary
+- keivalya/MedQuad-MedicalQnADataset
+- ruslanmv/ai-medical-dataset
+- Shekswess/medical_llama3_instruct_dataset_short
+- ShenRuililin/MedicalQnA
+- virattt/financial-qa-10K
+- PatronusAI/financebench
+- takala/financial_phrasebank
+- Replete-AI/code_bagel
+- athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW
+- IlyaGusev/gpt_roleplay_realm
+- rickRossie/bluemoon_roleplay_chat_data_300k_messages
+- jtatman/hypnosis_dataset
+- Hypersniper/philosophy_dialogue
+- Locutusque/function-calling-chatml
+- bible-nlp/biblenlp-corpus
+- DatadudeDev/Bible
+- Helsinki-NLP/bible_para
+- HausaNLP/AfriSenti-Twitter
+- aixsatoshi/Chat-with-cosmopedia
+- xz56/react-llama
+- BeIR/hotpotqa
+- YBXL/medical_book_train_filtered
+- SkunkworksAI/reasoning-0.01
+- THUDM/LongWriter-6k
+- WhiteRabbitNeo/WRN-Chapter-1
+- WhiteRabbitNeo/Code-Functions-Level-Cyber
+- WhiteRabbitNeo/Code-Functions-Level-General
+language:
+- en
+- sw
+- ig
+- so
+- es
+- ca
+- xh
+- zu
+- ha
+- tw
+- af
+- hi
+- bm
+- su
+library_name: transformers
+license: mit
+quantized_by: mradermacher
+tags:
+- mergekit
+- merge
+- Mistral_Star
+- Mistral_Quiet
+- Mistral
+- Mixtral
+- Question-Answer
+- Token-Classification
+- Sequence-Classification
+- SpydazWeb-AI
+- chemistry
+- biology
+- legal
+- code
+- climate
+- medical
+- LCARS_AI_StarTrek_Computer
+- text-generation-inference
+- chain-of-thought
+- tree-of-knowledge
+- forest-of-thoughts
+- visual-spacial-sketchpad
+- alpha-mind
+- knowledge-graph
+- entity-detection
+- encyclopedia
+- wikipedia
+- stack-exchange
+- Reddit
+- Cyber-series
+- MegaMind
+- Cybertron
+- SpydazWeb
+- Spydaz
+- LCARS
+- star-trek
+- mega-transformers
+- Mulit-Mega-Merge
+- Multi-Lingual
+- Afro-Centric
+- African-Model
+- Ancient-One
+---
+## About
 <!-- ### quantize_version: 2 -->
 <!-- ### output_tensor_quantised: 1 -->
 <!-- ### convert_type: hf -->
 <!-- ### vocab_type:  -->
 <!-- ### tags: nicoboss -->
 weighted/imatrix quants of https://huggingface.co/LeroyDyer/SpydazWeb_AI_LCARS_Humanization_003
+<!-- provided-files -->
+static quants are available at https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-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/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-IQ1_S.gguf) | i1-IQ1_S | 1.7 | for the desperate |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-IQ1_M.gguf) | i1-IQ1_M | 1.9 | mostly desperate |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 2.1 |  |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-IQ2_XS.gguf) | i1-IQ2_XS | 2.3 |  |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-IQ2_S.gguf) | i1-IQ2_S | 2.4 |  |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-IQ2_M.gguf) | i1-IQ2_M | 2.6 |  |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-Q2_K_S.gguf) | i1-Q2_K_S | 2.6 | very low quality |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-Q2_K.gguf) | i1-Q2_K | 2.8 | IQ3_XXS probably better |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 2.9 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-IQ3_XS.gguf) | i1-IQ3_XS | 3.1 |  |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-Q3_K_S.gguf) | i1-Q3_K_S | 3.3 | IQ3_XS probably better |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-IQ3_S.gguf) | i1-IQ3_S | 3.3 | beats Q3_K* |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-IQ3_M.gguf) | i1-IQ3_M | 3.4 |  |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-Q3_K_M.gguf) | i1-Q3_K_M | 3.6 | IQ3_S probably better |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-Q3_K_L.gguf) | i1-Q3_K_L | 3.9 | IQ3_M probably better |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-IQ4_XS.gguf) | i1-IQ4_XS | 4.0 |  |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-Q4_0.gguf) | i1-Q4_0 | 4.2 | fast, low quality |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-IQ4_NL.gguf) | i1-IQ4_NL | 4.2 | prefer IQ4_XS |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-Q4_K_S.gguf) | i1-Q4_K_S | 4.2 | optimal size/speed/quality |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-Q4_K_M.gguf) | i1-Q4_K_M | 4.5 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-Q4_1.gguf) | i1-Q4_1 | 4.7 |  |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-Q5_K_S.gguf) | i1-Q5_K_S | 5.1 |  |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-Q5_K_M.gguf) | i1-Q5_K_M | 5.2 |  |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-Q6_K.gguf) | i1-Q6_K | 6.0 | 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.
+<!-- end -->