Transformers
GGUF
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
imatrix
auto-patch README.md
Browse files
README.md
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| 1 |
<!-- ### quantize_version: 2 -->
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| 2 |
<!-- ### output_tensor_quantised: 1 -->
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| 3 |
<!-- ### convert_type: hf -->
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| 4 |
<!-- ### vocab_type: -->
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| 5 |
<!-- ### tags: nicoboss -->
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| 6 |
weighted/imatrix quants of https://huggingface.co/LeroyDyer/SpydazWeb_AI_LCARS_Humanization_003
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| 1 |
+
---
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| 2 |
+
base_model: LeroyDyer/SpydazWeb_AI_LCARS_Humanization_003
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| 3 |
+
datasets:
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| 4 |
+
- gretelai/synthetic_text_to_sql
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| 5 |
+
- HuggingFaceTB/cosmopedia
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| 6 |
+
- teknium/OpenHermes-2.5
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| 7 |
+
- Open-Orca/SlimOrca
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| 8 |
+
- Severian/Internal-Knowledge-Map
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| 9 |
+
- Open-Orca/OpenOrca
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| 10 |
+
- cognitivecomputations/dolphin-coder
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| 11 |
+
- databricks/databricks-dolly-15k
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| 12 |
+
- yahma/alpaca-cleaned
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| 13 |
+
- uonlp/CulturaX
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| 14 |
+
- mwitiderrick/SwahiliPlatypus
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| 15 |
+
- NexusAI-tddi/OpenOrca-tr-1-million-sharegpt
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| 16 |
+
- Vezora/Open-Critic-GPT
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| 17 |
+
- verifiers-for-code/deepseek_plans_test
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| 18 |
+
- meta-math/MetaMathQA
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| 19 |
+
- KbsdJames/Omni-MATH
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| 20 |
+
- swahili
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| 21 |
+
- Rogendo/English-Swahili-Sentence-Pairs
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| 22 |
+
- ise-uiuc/Magicoder-Evol-Instruct-110K
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| 23 |
+
- meta-math/MetaMathQA
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| 24 |
+
- abacusai/ARC_DPO_FewShot
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| 25 |
+
- abacusai/MetaMath_DPO_FewShot
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| 26 |
+
- abacusai/HellaSwag_DPO_FewShot
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| 27 |
+
- HaltiaAI/Her-The-Movie-Samantha-and-Theodore-Dataset
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| 28 |
+
- HuggingFaceFW/fineweb
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| 29 |
+
- occiglot/occiglot-fineweb-v0.5
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| 30 |
+
- omi-health/medical-dialogue-to-soap-summary
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| 31 |
+
- keivalya/MedQuad-MedicalQnADataset
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| 32 |
+
- ruslanmv/ai-medical-dataset
|
| 33 |
+
- Shekswess/medical_llama3_instruct_dataset_short
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| 34 |
+
- ShenRuililin/MedicalQnA
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| 35 |
+
- virattt/financial-qa-10K
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| 36 |
+
- PatronusAI/financebench
|
| 37 |
+
- takala/financial_phrasebank
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| 38 |
+
- Replete-AI/code_bagel
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| 39 |
+
- athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW
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| 40 |
+
- IlyaGusev/gpt_roleplay_realm
|
| 41 |
+
- rickRossie/bluemoon_roleplay_chat_data_300k_messages
|
| 42 |
+
- jtatman/hypnosis_dataset
|
| 43 |
+
- Hypersniper/philosophy_dialogue
|
| 44 |
+
- Locutusque/function-calling-chatml
|
| 45 |
+
- bible-nlp/biblenlp-corpus
|
| 46 |
+
- DatadudeDev/Bible
|
| 47 |
+
- Helsinki-NLP/bible_para
|
| 48 |
+
- HausaNLP/AfriSenti-Twitter
|
| 49 |
+
- aixsatoshi/Chat-with-cosmopedia
|
| 50 |
+
- xz56/react-llama
|
| 51 |
+
- BeIR/hotpotqa
|
| 52 |
+
- YBXL/medical_book_train_filtered
|
| 53 |
+
- SkunkworksAI/reasoning-0.01
|
| 54 |
+
- THUDM/LongWriter-6k
|
| 55 |
+
- WhiteRabbitNeo/WRN-Chapter-1
|
| 56 |
+
- WhiteRabbitNeo/Code-Functions-Level-Cyber
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| 57 |
+
- WhiteRabbitNeo/Code-Functions-Level-General
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| 58 |
+
language:
|
| 59 |
+
- en
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| 60 |
+
- sw
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| 61 |
+
- ig
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| 62 |
+
- so
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| 63 |
+
- es
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| 64 |
+
- ca
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| 65 |
+
- xh
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| 66 |
+
- zu
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| 67 |
+
- ha
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| 68 |
+
- tw
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| 69 |
+
- af
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| 70 |
+
- hi
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| 71 |
+
- bm
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| 72 |
+
- su
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| 73 |
+
library_name: transformers
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| 74 |
+
license: mit
|
| 75 |
+
quantized_by: mradermacher
|
| 76 |
+
tags:
|
| 77 |
+
- mergekit
|
| 78 |
+
- merge
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| 79 |
+
- Mistral_Star
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| 80 |
+
- Mistral_Quiet
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| 81 |
+
- Mistral
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| 82 |
+
- Mixtral
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| 83 |
+
- Question-Answer
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| 84 |
+
- Token-Classification
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| 85 |
+
- Sequence-Classification
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| 86 |
+
- SpydazWeb-AI
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| 87 |
+
- chemistry
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| 88 |
+
- biology
|
| 89 |
+
- legal
|
| 90 |
+
- code
|
| 91 |
+
- climate
|
| 92 |
+
- medical
|
| 93 |
+
- LCARS_AI_StarTrek_Computer
|
| 94 |
+
- text-generation-inference
|
| 95 |
+
- chain-of-thought
|
| 96 |
+
- tree-of-knowledge
|
| 97 |
+
- forest-of-thoughts
|
| 98 |
+
- visual-spacial-sketchpad
|
| 99 |
+
- alpha-mind
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| 100 |
+
- knowledge-graph
|
| 101 |
+
- entity-detection
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| 102 |
+
- encyclopedia
|
| 103 |
+
- wikipedia
|
| 104 |
+
- stack-exchange
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| 105 |
+
- Reddit
|
| 106 |
+
- Cyber-series
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| 107 |
+
- MegaMind
|
| 108 |
+
- Cybertron
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| 109 |
+
- SpydazWeb
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| 110 |
+
- Spydaz
|
| 111 |
+
- LCARS
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| 112 |
+
- star-trek
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| 113 |
+
- mega-transformers
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| 114 |
+
- Mulit-Mega-Merge
|
| 115 |
+
- Multi-Lingual
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| 116 |
+
- Afro-Centric
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| 117 |
+
- African-Model
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| 118 |
+
- Ancient-One
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| 119 |
+
---
|
| 120 |
+
## About
|
| 121 |
+
|
| 122 |
<!-- ### quantize_version: 2 -->
|
| 123 |
<!-- ### output_tensor_quantised: 1 -->
|
| 124 |
<!-- ### convert_type: hf -->
|
| 125 |
<!-- ### vocab_type: -->
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| 126 |
<!-- ### tags: nicoboss -->
|
| 127 |
weighted/imatrix quants of https://huggingface.co/LeroyDyer/SpydazWeb_AI_LCARS_Humanization_003
|
| 128 |
+
|
| 129 |
+
<!-- provided-files -->
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| 130 |
+
static quants are available at https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-GGUF
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| 131 |
+
## Usage
|
| 132 |
+
|
| 133 |
+
If you are unsure how to use GGUF files, refer to one of [TheBloke's
|
| 134 |
+
READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
|
| 135 |
+
more details, including on how to concatenate multi-part files.
|
| 136 |
+
|
| 137 |
+
## Provided Quants
|
| 138 |
+
|
| 139 |
+
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
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| 140 |
+
|
| 141 |
+
| Link | Type | Size/GB | Notes |
|
| 142 |
+
|:-----|:-----|--------:|:------|
|
| 143 |
+
| [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 |
|
| 144 |
+
| [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 |
|
| 145 |
+
| [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 | |
|
| 146 |
+
| [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 | |
|
| 147 |
+
| [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 | |
|
| 148 |
+
| [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 | |
|
| 149 |
+
| [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 |
|
| 150 |
+
| [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 |
|
| 151 |
+
| [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 |
|
| 152 |
+
| [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 | |
|
| 153 |
+
| [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 |
|
| 154 |
+
| [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* |
|
| 155 |
+
| [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 | |
|
| 156 |
+
| [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 |
|
| 157 |
+
| [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 |
|
| 158 |
+
| [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 | |
|
| 159 |
+
| [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 |
|
| 160 |
+
| [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 |
|
| 161 |
+
| [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 |
|
| 162 |
+
| [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 |
|
| 163 |
+
| [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 | |
|
| 164 |
+
| [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 | |
|
| 165 |
+
| [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 | |
|
| 166 |
+
| [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 |
|
| 167 |
+
|
| 168 |
+
Here is a handy graph by ikawrakow comparing some lower-quality quant
|
| 169 |
+
types (lower is better):
|
| 170 |
+
|
| 171 |
+

|
| 172 |
+
|
| 173 |
+
And here are Artefact2's thoughts on the matter:
|
| 174 |
+
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
|
| 175 |
+
|
| 176 |
+
## FAQ / Model Request
|
| 177 |
+
|
| 178 |
+
See https://huggingface.co/mradermacher/model_requests for some answers to
|
| 179 |
+
questions you might have and/or if you want some other model quantized.
|
| 180 |
+
|
| 181 |
+
## Thanks
|
| 182 |
+
|
| 183 |
+
I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
|
| 184 |
+
me use its servers and providing upgrades to my workstation to enable
|
| 185 |
+
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.
|
| 186 |
+
|
| 187 |
+
<!-- end -->
|