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Alami Rays

ahmedrays

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liked a dataset 2 days ago

openbmb/UltraData-Math

liked a dataset 2 days ago

huggingface/transformers-metadata

reacted to loubnabnl's post with ❤️ 12 days ago

SmolVLM is now available on PocketPal — you can run it offline on your smartphone to interpret the world around you. 🌍📱 And check out this real-time camera demo by @ngxson, powered by llama.cpp: https://github.com/ngxson/smolvlm-realtime-webcam https://x.com/pocketpal_ai

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liked 2 datasets 2 days ago

openbmb/UltraData-Math

Viewer • Updated 3 days ago • 181M • 16.7k • 203

huggingface/transformers-metadata

Viewer • Updated 2 days ago • 2.03k • 1.24k • 36

reacted to loubnabnl's post with ❤️ 12 days ago

Post

6598

SmolVLM is now available on PocketPal — you can run it offline on your smartphone to interpret the world around you. 🌍📱

And check out this real-time camera demo by @ngxson , powered by llama.cpp:
https://github.com/ngxson/smolvlm-realtime-webcam
https://x.com/pocketpal_ai

4 replies

liked a Space 12 days ago

The Smol Training Playbook

📚

2.98k

The secrets to building world-class LLMs

liked a dataset 12 days ago

agents-course/unit4-students-scores

Viewer • Updated 43 minutes ago • 7.39k • 12.4k • 11

liked 3 models 14 days ago

New activity in guiferrarib/genesis-152m-instruct 16 days ago

simple question!

#1 opened 16 days ago by

ahmedrays

liked a model 16 days ago

guiferrarib/genesis-152m-instruct

Text Generation • Updated Dec 26, 2025 • 16

reacted to sergiopaniego's post with 🔥 19 days ago

Post

3008

A few days ago, Thinking Machines Lab released “LoRA Without Regret”, showing that LoRA can match full fine-tuning performance when configured right.

Naturally, we decided to reproduce the results with TRL and release a guide!

https://huggingface.co/docs/trl/main/en/lora_without_regret

upvoted a paper 19 days ago

Toward Efficient Agents: Memory, Tool learning, and Planning

Paper • 2601.14192 • Published 23 days ago • 54

liked a model 19 days ago

DavidAU/GLM-4.7-Flash-Uncensored-Heretic-NEO-CODE-Imatrix-MAX-GGUF

Text Generation • 30B • Updated 15 days ago • 66.6k • 190

reacted to DavidAU's post with 🔥 19 days ago

Post

6344

Uncensored, Heretic GGUF quants of GLM 4.7 (30B-A3B) with correct Llamacpp and all updates ; NEO-CODE Imatrix W 16 bit OTs.

Also specialized quants (balanced for this model), and all quants are NEO-CODE Imatrix W 16 bit output tensor.

DavidAU/GLM-4.7-Flash-Uncensored-Heretic-NEO-CODE-Imatrix-MAX-GGUF

"Reg quants, non-heretic" :

Also 16 bit ot, NEO-CODE Imatrix and specialized:

DavidAU/GLM-4.7-Flash-NEO-CODE-Imatrix-MAX-GGUF