Qwopus3.5-v3
Collection
6 items β’ Updated β’ 21
Leo A
singulariti
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AI & ML interests
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Recent Activity
upvoted a collection about 8 hours ago
Qwopus3.5-v3 new activity about 8 hours ago
zai-org/GLM-5:Where GLM-5.1? new activity about 20 hours ago
Jackrong/Qwopus3.5-9B-v3-GGUF:27B version of Qwopus3.5 v3?Organizations
None yet
upvoted a collection about 8 hours ago
Where GLM-5.1?
β 7
5
#72 opened 3 days ago
by 
DedeProGames
27B version of Qwopus3.5 v3?
2
#3 opened about 20 hours ago
by singulariti
liked 2
models about 20 hours ago
Bro Cooked
#1 opened about 23 hours ago
by singulariti
reactedto danielhanchen's post with π₯ about 23 hours ago
Post
1559
A new way to use Unsloth.
Coming soon...
Coming soon...
upvoted a collection 3 days ago
New activity in DavidAU/Qwen3-48B-A4B-Savant-Commander-GATED-12x-Closed-Open-Source-Distill 5 days ago
Agent Team
1
#1 opened 7 days ago
by singulariti
liked a
model 8 days ago
reactedto umarbutler's post with π 10 days ago
Post
4812
Isaacus, the AI research company building legal superintelligence, is hiring!
We're looking for passionate engineers who love to build and tinker and want to have an impact on the world. Specifically, we're hiring:
β’ ML engineers (Australia).
β’ Data engineers (Australia).
β’ Full-stack engineers (Australia).
β’ DevRel engineers (Australia, San Francisco, and London).
β’ DevOps engineers (Australia, San Francisco, and London).
If you'd like to be a founding employee at one of the few VC-backed LLM research labs in the world, receive generous equity compensation, and work alongside other highly motivated, highly skilled engineers, get in touch: https://isaacus.com/careers
We're looking for passionate engineers who love to build and tinker and want to have an impact on the world. Specifically, we're hiring:
β’ ML engineers (Australia).
β’ Data engineers (Australia).
β’ Full-stack engineers (Australia).
β’ DevRel engineers (Australia, San Francisco, and London).
β’ DevOps engineers (Australia, San Francisco, and London).
If you'd like to be a founding employee at one of the few VC-backed LLM research labs in the world, receive generous equity compensation, and work alongside other highly motivated, highly skilled engineers, get in touch: https://isaacus.com/careers
benchmarks
π 1
2
#6 opened 18 days ago
by 
Roman1111111
reactedto Shrijanagain's post with π 13 days ago
Post
5432
Surya-1.1T: Scaling Beyond Human-Level Reasoning via 146 Trillion Token Pre-training
Author: SKT AI LABS
Affiliation: SKT AI Labs / Project Surya
Model Architecture: Optimized Dense Transformer
Parameters: 1.1 Trillion
Training Tokens: 146 Trillion
Wanna collaborate us Friends let's Start Journey we have Collected 146 trillon tokens and done pre training but we need to made more powerfull
Whitepaper - https://github.com/SHRIJANAGAIN/PROFF
Author: SKT AI LABS
Affiliation: SKT AI Labs / Project Surya
Model Architecture: Optimized Dense Transformer
Parameters: 1.1 Trillion
Training Tokens: 146 Trillion
Wanna collaborate us Friends let's Start Journey we have Collected 146 trillon tokens and done pre training but we need to made more powerfull
Whitepaper - https://github.com/SHRIJANAGAIN/PROFF
- 56 replies
Benchmarks?
1
#5 opened 14 days ago
by singulariti
liked a
model 15 days ago
reactedto unmodeled-tyler's post with π 16 days ago
Post
5772
LINK: https://github.com/unmodeled-tyler/vessel-browser
Hey Hugging Face!
It's been quiet from me over here for the last few weeks, but I've been busy building! I just submitted my project to the Hermes Agent Hackathon, and wanted to share it with all of you.
This is Vessel Browser - an AI-native web browser that runs locally on Linux, and is operated by your personal AI agent via MCP server. Vessel is built from the ground up around the agent as first-class and visible UI for human-in-the-loop with 3 different levels of permissions.
Your agent finds, reads, and organizes the web for you, based on what you actually care about - not what a platform's algorithm thinks you care about.
Once your agent finds what it's looking for, it can organize bookmarked pages into custom folders with summaries for later browsing, take screenshots with highlighted text, and integrate with Obsidian for long-term browsing related-memory.
Check it out!
Hey Hugging Face!
It's been quiet from me over here for the last few weeks, but I've been busy building! I just submitted my project to the Hermes Agent Hackathon, and wanted to share it with all of you.
This is Vessel Browser - an AI-native web browser that runs locally on Linux, and is operated by your personal AI agent via MCP server. Vessel is built from the ground up around the agent as first-class and visible UI for human-in-the-loop with 3 different levels of permissions.
Your agent finds, reads, and organizes the web for you, based on what you actually care about - not what a platform's algorithm thinks you care about.
Once your agent finds what it's looking for, it can organize bookmarked pages into custom folders with summaries for later browsing, take screenshots with highlighted text, and integrate with Obsidian for long-term browsing related-memory.
Check it out!
- 3 replies
updated a
dataset 17 days ago
published a
dataset 17 days ago
liked 2
models 17 days ago
