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we are going to release our latest NOVEL model next! it's called Nova-1-EXP and will be launched as private preview in the smilyai Laboratories BETA TESTERS organisation.
- 3 replies
XORTRON - Criminal Computing
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Post
149
New Update on Nova-1 series status!!! So, after 3 days of fixing our dataset script, we finally have nova-1-standard in its final phases of instruction tuning hopefully. I genuinely do not know ha-ha. We are also doing a novel model named Nova-1-EXP with 5 novel components in the model, which we will announce when the time comes.
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Hello everyone! Today we have released a new chat UI for our new LLM! It's at https://nova.smilyai.org and also at: https://huggingface.co/spaces/hugging-science/Nova-1-official-chat
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Today, we have released our latest somewhat instruction tuned model! We have also resolved a major issue in our modeling_nova1.py custom code file! We made a zerogpu space to test our model so pleases check it out! its decent at coding, terrible at maths and not good at haiku's. We will continue to improve the model as time passes and the UI will use the latest model by default! https://huggingface.co/spaces/hugging-science/Nova-1-official-chat
- 1 reply
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Hello everyone! Today we have resolved the transformers incompatibility for Nova-1-Standard-Preview! It is currently loadable, with trust_remote_code as true. If you don't know what Nova-1-Standard is, we suggest you check out our intro video on the model card! https://huggingface.co/Smilyai-labs/Nova-1-Standard-Preview
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Hello everyone! We are Smilyai-labs, a small team of 4 high school students who love AI and find it very interesting! We are super excited to launch our first preview edition of our Nova-Standard model! Nova-1 is a small family of LLM's which we built from scratch! We designed a custom efficient architecture, featuring MoD layers and much more! We have added RoPE, making it perfect to use YaRN for context extrapolation! From internal tests, we have found that it can support 8K reasonably well and 16K with some performance decreases! Please note, that this is only a Beta version for testing, and we are actively working to fix it! We are only a small group of 4 students, so our progress might be a bit slow! Thank you for your patience! Thank you for checking out our work and a small follow would be appreciated! We are constantly updating, and we will roll out a gradio demo ASAP! Our hugging face org is at: 
Smilyai-labs . Our model is at: https://huggingface.co/Smilyai-labs/Nova-1-standard-pretrained-preview . The Beta testers org is at: 
Smilyai-labs-beta-testers .
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# ๐ฅ Nova-1 Beta: Test Our New LLMs!
**Smilyai Labs** is building **Nova-1** โ open-source LLMs with novel architectures. Join our beta program!
## ๐ฏ Available Now:
**Nova-1-Standard (1.2B)** โ Phase 2 of pretraining in progress
- PPL 13.5 (beats GPT-2 Large!)
- 48K tok/s on consumer GPUs
- Great for code, reasoning, edge deployment
**Nova-1-Large (3.5B)** โ Training live RIGHT NOW
- Current: 30.9 PPL, improving fast, loss at 3.5 right now
- Will finish with ~1.7B tokens today
- Better reasoning & longer context
**Nova-1-XL (10B MoE)** โ Coming soon (We dont know yet! haha)
- Final Specs not decided yet
## What Makes Nova Special?
โจ **Mixture of Depths (MoD)** โ Routes tokens dynamically, 30% faster
โจ **Grouped Query Attention** โ Efficient like LLaMA 2/3
โจ **Phased Training** โ Fresh 1B tokens each phase (no overfitting!)
โจ **RoPE** โ Context extendable to 8K+
## ๐ค Join Beta Testing:
๐ **[Smilyai-labs-beta-testers]( Smilyai-labs-beta-testers
Get early access, shape the roadmap, and help build transparent open-source AI!
**Smilyai Labs** is building **Nova-1** โ open-source LLMs with novel architectures. Join our beta program!
## ๐ฏ Available Now:
**Nova-1-Standard (1.2B)** โ Phase 2 of pretraining in progress
- PPL 13.5 (beats GPT-2 Large!)
- 48K tok/s on consumer GPUs
- Great for code, reasoning, edge deployment
**Nova-1-Large (3.5B)** โ Training live RIGHT NOW
- Current: 30.9 PPL, improving fast, loss at 3.5 right now
- Will finish with ~1.7B tokens today
- Better reasoning & longer context
**Nova-1-XL (10B MoE)** โ Coming soon (We dont know yet! haha)
- Final Specs not decided yet
## What Makes Nova Special?
โจ **Mixture of Depths (MoD)** โ Routes tokens dynamically, 30% faster
โจ **Grouped Query Attention** โ Efficient like LLaMA 2/3
โจ **Phased Training** โ Fresh 1B tokens each phase (no overfitting!)
โจ **RoPE** โ Context extendable to 8K+
## ๐ค Join Beta Testing:
๐ **[Smilyai-labs-beta-testers](
Get early access, shape the roadmap, and help build transparent open-source AI!
- 1 reply
Post
300
Shipped v0.1.2 of vtx โ a minimalist coding agent for the terminal.
Most agentic CLIs ship 10k+ token system prompts. Vtx is ~2,200. Less prompt overhead means more room for your code in the model's context window.
Vtx is a from-scratch Python implementation of the design philosophy behind pi-mono โ same principles, pure Python, no transpiled runtime.
What ships out of the box:
โ Textual TUI + headless CLI (vtx -p "fix the failing test")
โ 49 LLM provider gateways, all declared in a single provider.yaml
โ 5 core tools (read / edit / write / bash / find) plus web search and fetch
โ Session tree with compaction, handoff, and resume
โ AGENTS.md / CLAUDE.md auto-discovery
โ Skills system โ drop SKILL.md files in .agents/skills/ and they become slash commands
โ Two OAuth flows (GitHub Copilot device flow, OpenAI Codex PKCE)
โ Two-mode permissions: prompt (default) or auto, with a safe-command allowlist
This release adds a proper extension system. Register new LLM-callable tools, intercept tool calls, hook lifecycle events, and add slash commands from a single register(api) function in a Python file under ~/.vtx/agent/extensions/. Extensions can override built-in tools by name and chain handler logic across subscribers.
Apache 2.0. uv tool install vtx-coding-agent and you're running.
GitHub: https://github.com/OEvortex/vtx-coding-agent
PyPI: https://pypi.org/project/vtx-coding-agent
Built in the open. Feedback, extensions, and PRs welcome.
Most agentic CLIs ship 10k+ token system prompts. Vtx is ~2,200. Less prompt overhead means more room for your code in the model's context window.
Vtx is a from-scratch Python implementation of the design philosophy behind pi-mono โ same principles, pure Python, no transpiled runtime.
What ships out of the box:
โ Textual TUI + headless CLI (vtx -p "fix the failing test")
โ 49 LLM provider gateways, all declared in a single provider.yaml
โ 5 core tools (read / edit / write / bash / find) plus web search and fetch
โ Session tree with compaction, handoff, and resume
โ AGENTS.md / CLAUDE.md auto-discovery
โ Skills system โ drop SKILL.md files in .agents/skills/ and they become slash commands
โ Two OAuth flows (GitHub Copilot device flow, OpenAI Codex PKCE)
โ Two-mode permissions: prompt (default) or auto, with a safe-command allowlist
This release adds a proper extension system. Register new LLM-callable tools, intercept tool calls, hook lifecycle events, and add slash commands from a single register(api) function in a Python file under ~/.vtx/agent/extensions/. Extensions can override built-in tools by name and chain handler logic across subscribers.
Apache 2.0. uv tool install vtx-coding-agent and you're running.
GitHub: https://github.com/OEvortex/vtx-coding-agent
PyPI: https://pypi.org/project/vtx-coding-agent
Built in the open. Feedback, extensions, and PRs welcome.
Post
3745
For the 1 year anniversary of the public release of darkc0de/XortronCriminalComputingConfig I present "XortronOS"
Something I've been tinkering with on and off for a while. It's a simi-functional desktop environment in your browser. You can chat with Xortron, view Xortron's personal bookmarks, view the Xortron Model Spec.
Still very much a work-in-progress, just a fun toy I thought I'd share...
Open to ideas for improvement
You can visit directly, quickly, and full screen at www.xortron.tech
Or via HF at darkc0de/XortronOS
Something I've been tinkering with on and off for a while. It's a simi-functional desktop environment in your browser. You can chat with Xortron, view Xortron's personal bookmarks, view the Xortron Model Spec.
Still very much a work-in-progress, just a fun toy I thought I'd share...
Open to ideas for improvement
You can visit directly, quickly, and full screen at www.xortron.tech
Or via HF at darkc0de/XortronOS
- 4 replies
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