Hugging Face
Models
Datasets
Spaces
Buckets
new
Docs
Enterprise
Pricing
Website
Tasks
HuggingChat
Collections
Languages
Organizations
Community
Blog
Posts
Daily Papers
Hardware
Learn
Discord
Forum
GitHub
Solutions
Team & Enterprise
Hugging Face PRO
Enterprise Support
Inference Providers
Inference Endpoints
Storage Buckets
Log In
Sign Up
🤝
Open to Collab
358.3
TFLOPS
AbstractPhila
PRO
AbstractPhil
19
6
27
Follow
Fred23456789's profile picture
Enyar's profile picture
rzyns's profile picture
94 followers
·
128 following
https://civitai.com/user/AbstractPhila
AbstractEyes
AI & ML interests
datasets, research papers, experimentation, vision, classification, text encoders, tokenization, llms, diffusion, distillation, and more.
Recent Activity
updated
a model
1 day ago
AbstractPhil/aleph-splat-0
posted
an
update
1 day ago
The upcoming AlephLM LLM prototype "Mini-Beatrix" is based on protocols, rules, and laws established through the process of training AlephLM systems. This will be a first attempt at a smaller full pretrain/finetune of the AlephLLM on raw data, and this will require over a billion unigram tokens. Mini-Beatrix will inherit an appropriately adapted AlephLM MOE structure containing a multitude of trained experts, a gating system, a long context RoPE system, MHA attention, and a series of hypothesis to answer upon Mini-Beatrix's pretrain and finetune completion. While focusing on resolving corruptions and invalidity possibly present in the splat attention, the solutions raised SDPA attention protocol token recall ceiling from 0.91 to 0.993. With that the splat attention raised from 0.81 to 0.89~ splat being around 3x the speed is still imperfect. So far so good. The corruptions have resolved multiple core component overlapping problems causing the AlephLM's inability to handle the trigram system, the structure of the SVAE having faulty trigram structures, and additionally a multitude of other systems in the lineup that were inheriting the corruptions from the core experiment sets. These corruptions resolved show that the accuracy of standard multiheaded attention will provide the necessary token recall for full LM capacity, and with that If and WHEN I solve the Rorschach Splat attention will be the faster alternative at >=r1 0.99%, only then. The splat attention's considerably larger head count still contains unresolved inconsistencies. That being said the SDPA MHA attention will be present for the first attempted mini-llm train, which will be named "Mini-Beatrix" with the appropriate sizing associated with this. The only thing that will change Mini-Beatrix's trajectory will be if Splat attention is perfected between today and next week, which will likely take longer unless I run into a core corruption that has been overlooked through hundreds of analysis.
published
an
article
4 days ago
Agreement, Anchors, Addresses: A Week of Geometric Training
View all activity
Organizations
AbstractPhil
's models
212
Sort: Recently updated
AbstractPhil/pentachora-greyscale-frequency-encoded
Zero-Shot Classification
•
Updated
Aug 17, 2025
AbstractPhil/experimental_pentachora
Updated
Aug 17, 2025
AbstractPhil/mirel-gpt-oss-20b
Updated
Aug 9, 2025
AbstractPhil/bert-beatrix-2048
0.1B
•
Updated
Jul 14, 2025
•
8
•
1
AbstractPhil/bert-beatrix-2048-noobxl-epsilon-v11-dual-shunt-adapter_clip_g
Updated
Jun 25, 2025
AbstractPhil/bert-beatrix-2048-noobxl-epsilon-v11-dual-shunt-adapter
Updated
Jun 25, 2025
AbstractPhil/bert-beatrix-2048-vit-bigG-14-dual-shunt-adapter
Updated
Jun 21, 2025
AbstractPhil/bert-beatrix-2048-vit-l-14-dual-shunt-adapter
Updated
Jun 19, 2025
AbstractPhil/resonance-model-zoo
Updated
Jun 10, 2025
AbstractPhil/t5-flan-base-vit-l-14-dual-stream-adapter
Updated
Jun 6, 2025
•
5
•
3
AbstractPhil/t5-flan-base-vit-bigG-14-dual-stream-adapter
Updated
May 31, 2025
•
5
•
3
AbstractPhil/t5-vit-14-v1
Any-to-Any
•
Updated
May 23, 2025
•
2
AbstractPhil/robust-velocity-adapter
Updated
May 21, 2025
•
1
AbstractPhil/T5-Small-Human-Attentive-Try2-Pass3
60.5M
•
Updated
May 20, 2025
•
6
AbstractPhil/T5-Small-Human-Attentive-Try2-Pass2
60.5M
•
Updated
May 19, 2025
•
7
AbstractPhil/T5-Small-Human-Attentive-Try2
60.5M
•
Updated
May 19, 2025
•
6
AbstractPhil/T5-Small-Human-Attentive
60.5M
•
Updated
May 18, 2025
•
3
AbstractPhil/SD15-Surge-V1
0.9B
•
Updated
May 3, 2025
•
29
AbstractPhil/Liminal-Full
Updated
Apr 22, 2025
•
3
AbstractPhil/omega-vit-l-reformed-fp32
0.4B
•
Updated
Apr 17, 2025
•
7
•
1
AbstractPhil/SD35-SIM-V1
Updated
Apr 16, 2025
•
3
AbstractPhil/t5xxl-unchained
Updated
Apr 7, 2025
•
9
•
4
AbstractPhil/SIM-OMEGA-PUBLIC-1
Updated
Apr 6, 2025
•
3
AbstractPhil/Beatrix
Updated
Apr 5, 2025
AbstractPhil/omega-vit-g-reformed
Updated
Apr 5, 2025
•
7
AbstractPhil/OMEGA-BIGASP
Updated
Apr 2, 2025
•
3
AbstractPhil/PONY-SIM-V4
Updated
Mar 28, 2025
•
1
AbstractPhil/SIM-V5
Updated
Mar 27, 2025
•
1
AbstractPhil/SDXL-SIM-REFINER
Updated
Mar 16, 2025
AbstractPhil/SDXL-SIM_NAI-VPRED
Updated
Mar 16, 2025
Previous
1
...
5
6
7
8
Next