mradermacher
/

SpydazWebAI_Human_AGI-i1-GGUF

@@ -1,6 +1,144 @@
 <!-- ### quantize_version: 2 -->
 <!-- ### output_tensor_quantised: 1 -->
 <!-- ### convert_type: hf -->
 <!-- ### vocab_type:  -->
 <!-- ### tags: nicoboss -->
 weighted/imatrix quants of https://huggingface.co/LeroyDyer/SpydazWebAI_Human_AGI

+---
+base_model: LeroyDyer/SpydazWebAI_Human_AGI
+datasets:
+- neoneye/base64-decode-v2
+- neoneye/base64-encode-v1
+- VuongQuoc/Chemistry_text_to_image
+- Kamizuru00/diagram_image_to_text
+- LeroyDyer/Chemistry_text_to_image_BASE64
+- LeroyDyer/AudioCaps-Spectrograms_to_Base64
+- LeroyDyer/winogroud_text_to_imaget_BASE64
+- LeroyDyer/chart_text_to_Base64
+- LeroyDyer/diagram_image_to_text_BASE64
+- mekaneeky/salt_m2e_15_3_instruction
+- mekaneeky/SALT-languages-bible
+language:
+- en
+- sw
+- ig
+- so
+- es
+- ca
+- xh
+- zu
+- ha
+- tw
+- af
+- hi
+- bm
+- su
+library_name: transformers
+license: apache-2.0
+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/SpydazWebAI_Human_AGI
+<!-- provided-files -->
+static quants are available at https://huggingface.co/mradermacher/SpydazWebAI_Human_AGI-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/SpydazWebAI_Human_AGI-i1-GGUF/resolve/main/SpydazWebAI_Human_AGI.i1-IQ1_S.gguf) | i1-IQ1_S | 1.7 | for the desperate |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWebAI_Human_AGI-i1-GGUF/resolve/main/SpydazWebAI_Human_AGI.i1-IQ1_M.gguf) | i1-IQ1_M | 1.9 | mostly desperate |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWebAI_Human_AGI-i1-GGUF/resolve/main/SpydazWebAI_Human_AGI.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 2.1 |  |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWebAI_Human_AGI-i1-GGUF/resolve/main/SpydazWebAI_Human_AGI.i1-IQ2_XS.gguf) | i1-IQ2_XS | 2.3 |  |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWebAI_Human_AGI-i1-GGUF/resolve/main/SpydazWebAI_Human_AGI.i1-IQ2_S.gguf) | i1-IQ2_S | 2.4 |  |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWebAI_Human_AGI-i1-GGUF/resolve/main/SpydazWebAI_Human_AGI.i1-IQ2_M.gguf) | i1-IQ2_M | 2.6 |  |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWebAI_Human_AGI-i1-GGUF/resolve/main/SpydazWebAI_Human_AGI.i1-Q2_K.gguf) | i1-Q2_K | 2.8 | IQ3_XXS probably better |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWebAI_Human_AGI-i1-GGUF/resolve/main/SpydazWebAI_Human_AGI.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 2.9 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWebAI_Human_AGI-i1-GGUF/resolve/main/SpydazWebAI_Human_AGI.i1-IQ3_XS.gguf) | i1-IQ3_XS | 3.1 |  |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWebAI_Human_AGI-i1-GGUF/resolve/main/SpydazWebAI_Human_AGI.i1-Q3_K_S.gguf) | i1-Q3_K_S | 3.3 | IQ3_XS probably better |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWebAI_Human_AGI-i1-GGUF/resolve/main/SpydazWebAI_Human_AGI.i1-IQ3_S.gguf) | i1-IQ3_S | 3.3 | beats Q3_K* |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWebAI_Human_AGI-i1-GGUF/resolve/main/SpydazWebAI_Human_AGI.i1-IQ3_M.gguf) | i1-IQ3_M | 3.4 |  |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWebAI_Human_AGI-i1-GGUF/resolve/main/SpydazWebAI_Human_AGI.i1-Q3_K_M.gguf) | i1-Q3_K_M | 3.6 | IQ3_S probably better |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWebAI_Human_AGI-i1-GGUF/resolve/main/SpydazWebAI_Human_AGI.i1-Q3_K_L.gguf) | i1-Q3_K_L | 3.9 | IQ3_M probably better |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWebAI_Human_AGI-i1-GGUF/resolve/main/SpydazWebAI_Human_AGI.i1-IQ4_XS.gguf) | i1-IQ4_XS | 4.0 |  |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWebAI_Human_AGI-i1-GGUF/resolve/main/SpydazWebAI_Human_AGI.i1-Q4_0_4_4.gguf) | i1-Q4_0_4_4 | 4.2 | fast on arm, low quality |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWebAI_Human_AGI-i1-GGUF/resolve/main/SpydazWebAI_Human_AGI.i1-Q4_0_4_8.gguf) | i1-Q4_0_4_8 | 4.2 | fast on arm+i8mm, low quality |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWebAI_Human_AGI-i1-GGUF/resolve/main/SpydazWebAI_Human_AGI.i1-Q4_0_8_8.gguf) | i1-Q4_0_8_8 | 4.2 | fast on arm+sve, low quality |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWebAI_Human_AGI-i1-GGUF/resolve/main/SpydazWebAI_Human_AGI.i1-Q4_0.gguf) | i1-Q4_0 | 4.2 | fast, low quality |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWebAI_Human_AGI-i1-GGUF/resolve/main/SpydazWebAI_Human_AGI.i1-Q4_K_S.gguf) | i1-Q4_K_S | 4.2 | optimal size/speed/quality |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWebAI_Human_AGI-i1-GGUF/resolve/main/SpydazWebAI_Human_AGI.i1-Q4_K_M.gguf) | i1-Q4_K_M | 4.5 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWebAI_Human_AGI-i1-GGUF/resolve/main/SpydazWebAI_Human_AGI.i1-Q5_K_S.gguf) | i1-Q5_K_S | 5.1 |  |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWebAI_Human_AGI-i1-GGUF/resolve/main/SpydazWebAI_Human_AGI.i1-Q5_K_M.gguf) | i1-Q5_K_M | 5.2 |  |
+| [GGUF](https://huggingface.co/mradermacher/SpydazWebAI_Human_AGI-i1-GGUF/resolve/main/SpydazWebAI_Human_AGI.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 -->