marksverdhei/shitbucket
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marksverdhei
AI & ML interests
Everything.
Recent Activity
liked a model 1 day ago
Nanbeige/Nanbeige4.3-33B liked a model 1 day ago
google/embeddinggemma-2 liked a model 3 days ago
MiniMaxAI/MiniMax-M3.1-FlashOrganizations
Posts 7
Post
757
The hidden gem of open-source embedding models: LCO-Embedding
for text, image AND audio!
I found this model after reading the recent Massive Audio Embedding Benchmark (MAEB) paper, as it blew the other models out of the water on day zero. I've been using it personally for about a week, and searching my files by describing music, sound effects or images is both practical and entertaining. Really underrated model, would highly recommend checking it out: LCO-Embedding/LCO-Embedding-Omni-7B
PS: If you're looking you run this model on llama.cpp, i've gone ahead and quantized them for you here 👉 https://huggingface.co/collections/marksverdhei/lco-embedding-omni-gguf
for text, image AND audio!
I found this model after reading the recent Massive Audio Embedding Benchmark (MAEB) paper, as it blew the other models out of the water on day zero. I've been using it personally for about a week, and searching my files by describing music, sound effects or images is both practical and entertaining. Really underrated model, would highly recommend checking it out: LCO-Embedding/LCO-Embedding-Omni-7B
PS: If you're looking you run this model on llama.cpp, i've gone ahead and quantized them for you here 👉 https://huggingface.co/collections/marksverdhei/lco-embedding-omni-gguf
Post
1,780
🤔 Many cultures penalize or look down upon self-celebratory behavior. One such example is liking your own post. So why do i do it? Two reasons:
1. I disagree that self-celebratory behavior is inherently bad.
2. On the Huggingface hub, if your post has 0 reactions, it takes TWO whole clicks to react instead of one. So it is actually a UI hack that lowers the bar to engage.
So if you see me reacting to to my own post and thing 'Ugh, this guy is so full of himself' you are only half correct 😆
Now behold as I perform this magic trick called "Exhausting all reaction options for increased visual engagement" so you don't have to click twice to react. You're welcome!
Follow this aspiring 🤗 HF Hub influencer for more half-serious bloat in your feed 😜
1. I disagree that self-celebratory behavior is inherently bad.
2. On the Huggingface hub, if your post has 0 reactions, it takes TWO whole clicks to react instead of one. So it is actually a UI hack that lowers the bar to engage.
So if you see me reacting to to my own post and thing 'Ugh, this guy is so full of himself' you are only half correct 😆
Now behold as I perform this magic trick called "Exhausting all reaction options for increased visual engagement" so you don't have to click twice to react. You're welcome!
Follow this aspiring 🤗 HF Hub influencer for more half-serious bloat in your feed 😜
Standalone ECAPA-TDNN x-vector speaker encoders extracted from Qwen3-TTS. 1024-dim (0.6B) and 2048-dim (1.7B).
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marksverdhei/Qwen3-Voice-Embedding-12Hz-0.6B
Feature Extraction • 8.85M • Updated • 429 • 23 -
marksverdhei/Qwen3-Voice-Embedding-12Hz-1.7B
Feature Extraction • 12M • Updated • 9.03k • 27 -
marksverdhei/Qwen3-Voice-Embedding-12Hz-0.6B-onnx
Feature Extraction • Updated • 21 -
marksverdhei/Qwen3-Voice-Embedding-12Hz-1.7B-onnx
Feature Extraction • Updated • 3
Standalone ECAPA-TDNN x-vector speaker encoders extracted from Qwen3-TTS. 1024-dim (0.6B) and 2048-dim (1.7B).
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marksverdhei/Qwen3-Voice-Embedding-12Hz-0.6B
Feature Extraction • 8.85M • Updated • 429 • 23 -
marksverdhei/Qwen3-Voice-Embedding-12Hz-1.7B
Feature Extraction • 12M • Updated • 9.03k • 27 -
marksverdhei/Qwen3-Voice-Embedding-12Hz-0.6B-onnx
Feature Extraction • Updated • 21 -
marksverdhei/Qwen3-Voice-Embedding-12Hz-1.7B-onnx
Feature Extraction • Updated • 3
spaces 6
pinned
Runtime error
Agents
Saved You A Click
📰
Running
OBS Live Stream
📡
Stream live video from a WebSocket source in full‑screen
No application file
Agents
ERRANT GEC
📝
Running
1
Transformer Training Visualized
🚀
Visualize GPT training with weights, gradients, and attention
Sleeping
Agents
Trl Trackio
🚀
Show live camera tracking
Running
Explore Embedding Inversion
↗
This repository lets you explore inverted embeddings
models 31
marksverdhei/LCO-Embedding-Omni-3B-GGUF
Feature Extraction • 3B • Updated • 547 • 5
marksverdhei/LCO-Embedding-Omni-3B-2605-GGUF
Feature Extraction • 3B • Updated • 205 • 5
marksverdhei/gemma-4-31B-2L-test
2B • Updated • 6
marksverdhei/CoPaw-Flash-9B-GGUF
9B • Updated • 337 • 5
marksverdhei/LCO-Embedding-Omni-7B-GGUF
Feature Extraction • 8B • Updated • 544 • 6
marksverdhei/Qwen3-Voice-Embedding-12Hz-1.7B
Feature Extraction • 12M • Updated • 9.03k • 27
marksverdhei/Qwen3-Voice-Embedding-12Hz-0.6B
Feature Extraction • 8.85M • Updated • 429 • 23
marksverdhei/MiniMax-M2.5-FP8
Updated • 1
marksverdhei/Qwen3-Voice-Embedding-12Hz-1.7B-onnx
Feature Extraction • Updated • 3
marksverdhei/Qwen3-Voice-Embedding-12Hz-0.6B-onnx
Feature Extraction • Updated • 21
datasets 7
marksverdhei/astar-island-gt
Updated • 60
marksverdhei/foo128k
Viewer • Updated • 1 • 5
marksverdhei/wordnet-definitions-en-2021
Viewer • Updated • 43.8k • 327 • 11
marksverdhei/data-by-countries
Viewer • Updated • 201 • 23 • 1
marksverdhei/hdi-ihdi-democracy-by-country
Viewer • Updated • 194 • 184
marksverdhei/reddit-syac-urls
Viewer • Updated • 8.61k • 42
marksverdhei/clickbait_title_classification
Viewer • Updated • 32k • 234 • 6