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alielfilali01ย  authored a paper 10 days ago
Jais 2: A Family of Arabic-Centric Open Large Language Models
DmitryRyuminย  authored a paper about 1 month ago
Team RAS in 11th ABAW Competition: Multimodal Ambivalence Recognition Approach
DmitryRyuminย  authored a paper about 1 month ago
Team LEYA in 10th ABAW Competition: Multimodal Ambivalence/Hesitancy Recognition Approach
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AtAndDevย 
posted an update 2 days ago
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NEW SPECK UPDATES:

Just hit #14 and #15 with out FIRST models on Open SLM Leaderboard. The models were trained on 5B tokens, while competing with similarly sized models trained on more than 6-20x the data.

A new base model Speck1.5-140M being trained right now on a higher quality corpus and will be released soon.
SpeckChat3 is coming very soon with 1 million samples, specifically designed to post train small base models.

Also, just to clarify stuff, we will NOT release anything that is NOT MIT licensed EVER. Openness is needed in small language research.

Thanks to everyone supporting the project, and stay tuned for new releases!
AtAndDevย 
posted an update 3 days ago
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1846
SPECK UPDATES:
1 New instruct model tuned on top of Speck1-140M: specklabs/Speck1-140M-Instruct
2 Instruction tuning datasets
2 GGUFs

Much more coming soon:
Speck1.1-140M-Instruct that is post trained on SpeckChat2 will be coming very soon
New base model Speck1.5-140M is coming with a much higher quality corpus

Thanks to everyone who is already supporting the project, and stay tuned for new releases!
  • 3 replies
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AtAndDevย 
posted an update 4 days ago
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FIRST SPECK MODEL RELEASED:
specklabs/Speck1-140M

new models coming very soon (both instruct and much better models), with much much higher training scale as i am getting marenostrum5 access soon!
we will be looking at 100b-2t token budgets :)
  • 4 replies
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Nymboย 
posted an update 18 days ago
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2024
Anthropic gave me six months of Claude Max 20x through the Claude for Open Source program, granted based on my Hugging Face work. Thank you
Anthropic for supporting open source.

So far I've been pointing it at Markdown Minimap, an Obsidian plugin that adds a scrollable IDE-style minimap to your notes. This week I've been clearing a backlog of user-reported issues on it, with Claude often handling them end to end.

https://github.com/Nymbo/Markdown-Minimap โ€” issues and PRs welcome.
julien-cย 
posted an update about 1 month ago
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4593
who's working on an NVFP4 version of Kimi-K3?
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Nymboย 
posted an update about 1 month ago
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Introducing Inflect-v2, two exceptionally small, open-weight English TTS models at just 3.9M and 9.3M parameters. Both generate speech multiple times faster than real-time on CPU. Despite their size, Inflect-v2 delivers quality that is competitive with much larger lightweight TTS systems, including KittenTTS, Piper, and Supertonic-3.

CPU, CUDA, PyTorch, and ONNX are supported. Apache 2.0.

See it for yourselves:
owensong/Inflect-Micro-v2
owensong/Inflect-Nano-v2

Try the Demos:
Nymbo/Inflect-TTS (unlimited CPU usage)
owensong/Inflect-v2 (ultra-fast ZeroGPU usage)
  • 6 replies
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DmitryRyuminย 
authored 2 papers about 1 month ago
osansevieroย 
authored a paper about 2 months ago
osansevieroย 
submitted a paper to Daily Papers about 2 months ago
DongfuJiangย 
authored 2 papers about 2 months ago
Prabhjotschughย 
authored 4 papers 2 months ago
eienmojikiย 
posted an update 2 months ago
KingNishย 
posted an update 2 months ago
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4774
We trained an open-source Mythos like cybersecurity LLM for the Build Small Hackathon meet OpenMythos

Trained in two stages: SFT on ~1.84K filtered ArXiv cs.CR papers + real CVE data, then RLVR using paired with past vulnerabilities GitHub repos with a verifier model checking outputs against ground truth.

Trained on: H100s from Modal

The RLVR stage made the biggest difference responses got more precise and less prone to confusing similar vulnerability classes.

Everything is open:
๐Ÿค– Demo โ†’ build-small-hackathon/OpenMythos
๐Ÿง  Model โ†’ build-small-hackathon/OpenMythos
๐Ÿ“ฆ CVE Dataset โ†’ build-small-hackathon/CVE_Vulnerailities_Detailed
๐Ÿ“„ ArXiv Dataset โ†’ himanshu17HF/ArvixImport-Filtered-Final

Try it out and let us know where it breaks ๐Ÿ™
  • 2 replies
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Abhaykoulย 
posted an update 2 months ago
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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.
DongfuJiangย 
authored a paper 3 months ago