Reubencf (Reuben fernandes)

reacted to BibbyResearch's post with 👀 4 days ago

Post

3031

Announcing📢 on HuggingFace 🤗
An autonomous agent for drug discovery research. Like Claude Code, but for biology.
BibbyResearch/Open-CellType-GPT
Quick install

curl -fsSL https://raw.githubusercontent.com/celltype/cli/main/install.sh | bash

Detects Python 3.10+, installs via pipx or pip, and launches an interactive setup wizard.

Ask questions in natural language. celltype-cli plans the analysis, selects the right tools, executes them, validates results, and returns data-backed conclusions.

BibbyResearch/Open-CellType-GPT

reacted to kostakoff's post with 🔥❤️ 6 days ago

Post

2844

I found it very funny that the Hugging Face profile has a specific section where we can share our hardware.

It really brings back memories of the good old days when we used to flex our custom PC specs on enthusiast forums 20 years ago! That inspired me to fill out my own profile and share it here.

And this is my first set of GPUs that I am using to learn MLOps:
- RTX 3090 – the best one; unfortunately it doesn't support the latest FP8 and FP4, but it’s still very powerful.
- Tesla V100 – performance is almost like the RTX 3090, just much older.
- Tesla P100 – old, and doesn't have tensor cores, but still can handle small models.
- Radeon MI50 – old, similar to the P100, but uses ROCm instead of CUDA, which is actually a pretty good experience to setup.
- GTX 1080 Ti – mostly useless, no FP16 support.
- GTX 1660 – first generation of the Turing architecture, but mostly useless.

llmlaba

5 replies

·

reacted to demirytu's post with 👀 11 days ago

Post

2023

is the chat feature down? recently I can not have success to get responses for my prompts.

1 reply

·

reacted to albertvillanova's post with 🚀🤗 15 days ago

Post

1677

5 years already working in democratizing AI 🤗
Grateful to be part of such an awesome team making it happen every day.

reacted to DavidAU's post with 🔥 20 days ago

Post

7243

Tiny but mighty: LFM 1.2B - 11 Distill / Fine tunes : Exceeding all benchmarks at 300-700+ T/S on GPU, 60+ T/S CPU.

Almost all exceed LFM 1.2B Benchmarks - which are already very impressive.
All benchmarks posted.

A specialized merge of multiple of these fine tunes by @nightmedia FAR exceeds the benchmarks set by the already impressive LFM.

(LFM2.5-1.2B-MEGABRAIN-Thinking-Polaris-ClaudeHOPUS-Deepseek-GLM)

Included are GLM 4.7 Flash, DeepSeek, Claude, Kimi V2 and other distill fine tunes.

Here is the collection ( Quants by MRadermarcher).

https://huggingface.co/collections/DavidAU/lfm-12b-sota-400-700-t-s-enhanced-fine-tunes-distills

UPDATE:
Now with 9 more versions , fully uncensored, heretic too.
And 5 additional non-heretic.

12 replies

·

replied to ZennyKenny's post 22 days ago

yup i lost 10 followers

reacted to ZennyKenny's post with 😎 22 days ago

Post

1969

🫠 Brutal! Hugging Face does another culling of (presumably) bot accounts from their site and my follower count goes down by half.

💀 TFW my content and models only appeal to bots. Who’s got the current best AI girlfriend app guys?

11 replies

·

reacted to Fuwn's post with 👀 22 days ago

Post

2257

Big if true

"sonnet 5 drops tomorrow and i've heard from three separate sources inside anthropic that the benchmarks they're sitting on would mass-retire every model released in 2025. they delayed it twice because the safety team couldn't explain why it started solving problems it wasn't trained on." (https://x.com/iruletheworldmo/status/2019237039904878902)

2 replies

·

reacted to danielhanchen's post with ❤️ 22 days ago

Post

3686

We created a tool-calling guide for local LLMs!

Learn how to use any open model like Qwen3-Coder-Next and GLM-4.7-Flash for function calling.

Guide: https://unsloth.ai/docs/basics/tool-calling-guide-for-local-llms

We provide hands-on examples for: story writing, Python execution, terminal tool calls, maths and more.

7 replies

·

reacted to ronantakizawa's post with 👍 27 days ago

Post

2660

Moltbook, a Reddit platform only for AI agents, is going viral right now as agents are acting unhinged!

I compiled a dataset of all posts and subreddits in Moltbook so far so anyone can easily analyze the activity in Moltbook.

ronantakizawa/moltbook

#moltbook #clawd #aiagent

2 replies

·

replied to ronantakizawa's post 27 days ago

love the dataset but its crazy to see what these agents are doing out there

reacted to seyf1elislam's post with 🔥 about 1 month ago

Post

689

# 🚀 Run Qwen3-TTS on Colab GPU or Locally

Run **Qwen3-TTS (Text-to-Speech & Voice Cloning)** with minimal effort. This setup is based on the official HF Space.

### 🔗 Links
* **Official Space:** Qwen/Qwen3-TTS
* **GitHub Repo:** https://github.com/seyf1elislam/qwen-tts-webui-notebook
* **Colab:** https://github.com/seyf1elislam/qwen-tts-webui-notebook/blob/main/Qwen_TTS_(TTS_%26_Voice_Cloning)_Colab.ipynb

---

### 📓 Method 1: Google Colab (Fastest)
1. Open the https://github.com/seyf1elislam/qwen-tts-webui-notebook/blob/main/Qwen_TTS_(TTS_%26_Voice_Cloning)_Colab.ipynb.
2. Add your HF_TOKEN to Google Colab Secrets
3. Ensure you are on a **T4 GPU** runtime.
4. Run all cells. Use the gradio.live link to open the UI.

---

### 💻 Method 2: Local Installation
Requires an GPU. Uses uv for faster setup.

# 1. Install uv & Clone
pip install uv
git clone https://huggingface.co/spaces/Qwen/Qwen3-TTS && cd Qwen3-TTS

# 2. Setup Environment
uv venv
uv pip install -r requirements.txt

# 3. Auth & Run
uvx hf auth login
python app.py 
# UI available at: http://localhost:7860/

reacted to kostakoff's post with 👍 about 1 month ago

Post

807

I created list of models based on permissive license (apache2, mit, openrail) and raw fp16 weights.
LLM:
- Mistral 7b v1
- Falcon 7b
- GLM4 9b
- Olmo3 7b
- Yi 9b
- Qwen3 8b
- Internlm3 8B
- PHI4
Multimodal LLM:
- Pixtral 12b
- Qwen3-VL-8B-Instruct
Picture generation:
- Stable Diffusion 1.5
- Stable Diffusion 2.0
- Stable Diffusion XL
Video generation:
- WAN 2.1 VACE Diffusers
TTS:
- SUNO Bark

This can be very useful for those who are just starting their AI LLM journey in PyTorch, like me.
Suggestions in the comments are welcome.

reacted to tegridydev's post with 👀❤️ about 1 month ago

Post

1906

Introducing OpenMALx

openmalx

Repository for Infosec and Machine Learning Resources

OpenMALx is an organization focused on the development of datasets and models for security analysis. The project objective is to provide structured data for training and evaluating large language models in a security context.

---

Technical Focus

**Dataset Formatting:** Processing raw security tool logs into instruction/response pairs for model training.
**Local Execution:** Optimizing models for local hardware to ensure data remains on-premises.
**Response Logic:** Developing structured formats for explaining security vulnerabilities and remediation steps.

Active Projects

**infosec-tool-output:** A dataset mapping static and dynamic analysis tool outputs to technical summaries.
openmalx/infosec-tool-output

**open-malsec:** A collection of text-based security threats, including phishing and social engineering samples, for classification tasks.
openmalx/open-malsec

reacted to AdinaY's post with 🔥 about 1 month ago

Post

903

Kimi K2.5 from Moonshot AI is more than just another large model🤯

https://huggingface.co/collections/moonshotai/kimi-k25

✨ Native multimodality : image + video + language + agents 💥
✨1T MoE / 32B active
✨ 256K context
✨ Modified MIT license
✨ Agent Swarm execution
✨ Open weights + open infra mindset

1 reply

·

reacted to kanaria007's post with 👍 about 1 month ago

Post

1715

✅ New Article: *Post-Transformer Decision Cores* (v0.1)

Title:
🚀 Post-Transformer Decision Cores: Goal-Native Engines Beyond LLMs
🔗 https://huggingface.co/blog/kanaria007/post-tranformer-decision-cores

---

Summary:
Transformers are powerful—but in SI-Core they’re *not the essence of intelligence*. A *Decision Core* is anything that satisfies the *Jump contracts* (OBS/ETH/MEM/ID/EVAL + RML), and those contracts don’t require next-token prediction.

This article sketches what “post-Transformer” looks like in practice: *goal-native, structure-aware controllers* that may use LLMs as tools—but don’t depend on them as the runtime brain.

> Don’t relax the contracts.
> Replace the engine behind them.

---

Why It Matters:
• Makes LLMs *optional*: shift them to “genesis / exploration / explanation,” while routine high-stakes Jumps run on structured cores
• Improves boring-but-critical properties: *determinism (CAS), fewer inconsistencies (SCI), fewer ETH violations (EAI), better rollback (RBL/RIR)*
• Enables gradual adoption via *pluggable Jump engines* and domain-by-domain “primary vs fallback” switching

---

What’s Inside:
• The architectural inversion: *World → OBS → SIM/SIS → Jump (Decision Core) → RML → Effects* (LLM is just one engine)
• Three compatible post-Transformer directions:

1. *World-model + search controllers* (MPC/MCTS/anytime search with explicit GCS + ETH constraints)
2. *Genius-distilled specialized controllers* (distill structure from GeniusTraces; LLM becomes a “genesis tool”)
3. *SIL-compiled Decision Programs* (typed Jump entrypoints, compiler-checked invariants, DPIR/GSPU targeting)
• A realistic migration path: LLM-wrapped → Genius library → shadow dual-run → flip primary by domain → SIL-compiled cores
• How this connects to “reproducing genius”: GRP provides trace selection/format; this article provides the engine architectures

---

📖 Structured Intelligence Engineering Series

reacted to AdinaY's post with 🔥 about 1 month ago

Post

1325

Big day in open source AI!!

✨ DeepSeek released OCR2 💥
deepseek-ai/DeepSeek-OCR-2

✨ Kimi K2.5 just landed 🔥
moonshotai/Kimi-K2.5

With the Chinese Spring Festival 3 weeks away,

what’s coming next?👀

Reuben fernandes PRO

AI & ML interests

Recent Activity

Organizations

Reuben fernandes PRO

AI & ML interests

Recent Activity

Organizations

Reubencf's activity