Post
2470
My guess on Ox Alpha -> GLM
- 27 replies
๐ก i hate it
Rico Ardiansyah
R-Kentaren
AI & ML interests
frontend
Recent Activity
liked a Space about 2 hours ago
AxiomicLabs/Open_SLM_Leaderboard liked a model 3 days ago
LiquidAI/LFM2.5-8B-A1B-DSpark liked a model 3 days ago
syntropy-ai/Soren-1-SmallOrganizations
reacted to onekq's post with ๐ 3 days ago
reacted to appvoid's post with ๐ฅ 18 days ago
Post
2901
If you want small models to be great again you should give a follow to people like @Banaxi-Tech or @Datdanboi25
These guys are rocking it with small models lately.
(They are not paying me to say that)
These guys are rocking it with small models lately.
(They are not paying me to say that)
- 22 replies
posted an update 26 days ago
Post
195
GREAT
free user now can't even create gradio demo
free user now can't even create gradio demo
- 2 replies
posted an update about 1 month ago
Post
256
kinda ridiculous making "cpu-basic" paid and "ZeroGPU" is free but 2 spaces for free user.
i'm confused dawg
i'm confused dawg
- 1 reply
reacted to KingNish's post with ๐ 2 months ago
Post
4769
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:
๐ค Demo โ build-small-hackathon/OpenMythos
๐ง Model โ build-small-hackathon/OpenMythos
๐ฆ CVE Dataset โ build-small-hackathon/CVE_Vulnerailities_Detailed
๐ ArXiv Dataset โ himanshu17HF/ArvixImport-Filtered-Final
Try it out and let us know where it breaks ๐
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:
๐ค Demo โ build-small-hackathon/OpenMythos
๐ง Model โ build-small-hackathon/OpenMythos
๐ฆ CVE Dataset โ build-small-hackathon/CVE_Vulnerailities_Detailed
๐ ArXiv Dataset โ himanshu17HF/ArvixImport-Filtered-Final
Try it out and let us know where it breaks ๐
- 2 replies
reacted to danielhanchen's post with โค๏ธ 4 months ago
Post
6017
Weโre excited to announce that Unsloth has joined the PyTorch Ecosystem! ๐ฅ๐ฆฅ
Unsloth is an open-source project that makes training & running models more accurate and faster with less compute. Our mission is to make local AI accessible to everyone. Thanks to all of you for making this possible! ๐
Blog: https://unsloth.ai/blog/pytorch
GitHub: https://github.com/unslothai/unsloth
Unsloth is an open-source project that makes training & running models more accurate and faster with less compute. Our mission is to make local AI accessible to everyone. Thanks to all of you for making this possible! ๐
Blog: https://unsloth.ai/blog/pytorch
GitHub: https://github.com/unslothai/unsloth
- 2 replies
reacted to qgallouedec's post with ๐ฅ 4 months ago
Post
10769
Shipped hf-sandbox! ๐ฅก
๐งช Running an eval that executes model-generated C on a few thousand prompts? You probably don't want any of that on your laptop.
Just shipped hf-sandbox, a Modal-style sandbox API on top of Hugging Face Jobs. Spin up an isolated, ephemeral container, run untrusted code, get the result back. No Docker on your laptop, no infra to manage.
Just pip install hf-sandbox.
Early days (v0.1); feedback and issues very welcome:
๐ https://github.com/huggingface/hf-sandbox
๐งช Running an eval that executes model-generated C on a few thousand prompts? You probably don't want any of that on your laptop.
Just shipped hf-sandbox, a Modal-style sandbox API on top of Hugging Face Jobs. Spin up an isolated, ephemeral container, run untrusted code, get the result back. No Docker on your laptop, no infra to manage.
Just pip install hf-sandbox.
Early days (v0.1); feedback and issues very welcome:
๐ https://github.com/huggingface/hf-sandbox
- 1 reply
reacted to evalstate's post with ๐ค 4 months ago
Post
2234
Hugging Face MCP Server v0.3.12
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The hub_repo_details tool now enables Dataset inspection (view splits, sample rows).
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The hub_repo_details tool now enables Dataset inspection (view splits, sample rows).
reacted to sequelbox's post with โค๏ธ 4 months ago
Post
3356
EARLY SNEAK PREVIEW of our first DeepSeek-V4-Pro dataset, Tachibana 4!
Tachibana 4 is our upcoming agentic coding dataset:
- Questions prioritize real-world, challenging agentic coding tasks across a variety of programming languages and topics.
- Areas of focus include back-end and front-end development, systems programming, distributed systems, performance optimization, data structures, databases and data engineering, game and mobile development, security engineering, compiler design, custom tooling, task automation, practical bugfixes, and more!
- A wide variety of emphasized languages improves development capability: Python, C, C++, C#, Go, TypeScript, Java, JavaScript, Rust, Haskell, SQL, Shell, R, Ruby, assembly code, and more!
- Synthethic prompts utilize a variety of personas, experience levels, and styles of communication to maximize real-world flexibility and usability.
Get it now: sequelbox/Tachibana4-DeepSeek-V4-Pro-PREVIEW
These agentic datasets will power the upcoming Esper 4, and whatever you can build! We'll have more finetunes on the way as well! :) we're going to make open source better and better for your work!
If you would like to see Esper 4 and these datasets faster, this is the best way you can help us: sequelbox/SupportOpenSource
for freedom, with love,
allegra
Tachibana 4 is our upcoming agentic coding dataset:
- Questions prioritize real-world, challenging agentic coding tasks across a variety of programming languages and topics.
- Areas of focus include back-end and front-end development, systems programming, distributed systems, performance optimization, data structures, databases and data engineering, game and mobile development, security engineering, compiler design, custom tooling, task automation, practical bugfixes, and more!
- A wide variety of emphasized languages improves development capability: Python, C, C++, C#, Go, TypeScript, Java, JavaScript, Rust, Haskell, SQL, Shell, R, Ruby, assembly code, and more!
- Synthethic prompts utilize a variety of personas, experience levels, and styles of communication to maximize real-world flexibility and usability.
Get it now: sequelbox/Tachibana4-DeepSeek-V4-Pro-PREVIEW
These agentic datasets will power the upcoming Esper 4, and whatever you can build! We'll have more finetunes on the way as well! :) we're going to make open source better and better for your work!
If you would like to see Esper 4 and these datasets faster, this is the best way you can help us: sequelbox/SupportOpenSource
for freedom, with love,
allegra
reacted to danielhanchen's post with ๐ค 4 months ago
reacted to danielhanchen's post with ๐๐ฅ 5 months ago
Post
5583
You can now fine-tune Gemma 4 for free with our notebooks! ๐ฅ
You just need 8GB VRAM to train Gemma 4 locally!
Unsloth trains Gemma4 1.5x faster with 50% less VRAM.
GitHub: https://github.com/unslothai/unsloth
Guide + Notebooks: https://unsloth.ai/docs/models/gemma-4/train
You just need 8GB VRAM to train Gemma 4 locally!
Unsloth trains Gemma4 1.5x faster with 50% less VRAM.
GitHub: https://github.com/unslothai/unsloth
Guide + Notebooks: https://unsloth.ai/docs/models/gemma-4/train
- 5 replies
reacted to gokaygokay's post with ๐ฅ 10 months ago
Post
10021
FlashPack: Lightning-Fast Model Loading for PyTorch
https://github.com/fal-ai/flashpack
FlashPack โ a new, high-throughput file format and loading mechanism for PyTorch that makes model checkpoint I/O blazingly fast, even on systems without access to GPU Direct Storage (GDS).
With FlashPack, loading any model can be 3โ6ร faster than with the current state-of-the-art methods like accelerate or the standard load_state_dict() and to() flow โ all wrapped in a lightweight, pure-Python package that works anywhere.
https://github.com/fal-ai/flashpack
FlashPack โ a new, high-throughput file format and loading mechanism for PyTorch that makes model checkpoint I/O blazingly fast, even on systems without access to GPU Direct Storage (GDS).
With FlashPack, loading any model can be 3โ6ร faster than with the current state-of-the-art methods like accelerate or the standard load_state_dict() and to() flow โ all wrapped in a lightweight, pure-Python package that works anywhere.
- 3 replies
reacted to prithivMLmods's post with ๐ฅ 11 months ago
Post
4571
Try the Hugging Face Space demo for Logics-MLLM/Logics-Parsing, the latest multimodal VLM from the Logics Team at Alibaba Group. It enables end-to-end document parsing with precise content extraction in markdown format, and it also generates a clean HTML representation of the document while preserving its logical structure. ๐ค๐ฅ
Additionally, Iโve integrated one of my recent works โ prithivMLmods/Gliese-OCR-7B-Post1.0 โ which also excels at document comprehension.
โญ Space / App : prithivMLmods/VLM-Parsing
๐ Technical Report by the Logics Team, Alibaba Group : Logics-Parsing Technical Report (2509.19760)
๐ MM: VLM-Parsing: prithivMLmods/mm-vlm-parsing-68e33e52bfb9ae60b50602dc
โก Collections : prithivMLmods/multimodal-implementations-67c9982ea04b39f0608badb0
Other Pages:
โ Multimodal VLMs - July'25 : prithivMLmods/multimodal-vlms-until-july25-688312e6b840e1e156f13027
โ Multimodal VLMs - Aug'25 : prithivMLmods/multimodal-vlms-aug25-68a56aac39fe8084f3c168bd
โ VL caption โ < Sep 15 โ25 : prithivMLmods/vl-caption-sep-15-25-68c7f6d737985c63c13e2391
.
.
.
To know more about it, visit the app page or the respective model page!!
Additionally, Iโve integrated one of my recent works โ prithivMLmods/Gliese-OCR-7B-Post1.0 โ which also excels at document comprehension.
โญ Space / App : prithivMLmods/VLM-Parsing
๐ Technical Report by the Logics Team, Alibaba Group : Logics-Parsing Technical Report (2509.19760)
๐ MM: VLM-Parsing: prithivMLmods/mm-vlm-parsing-68e33e52bfb9ae60b50602dc
โก Collections : prithivMLmods/multimodal-implementations-67c9982ea04b39f0608badb0
Other Pages:
โ Multimodal VLMs - July'25 : prithivMLmods/multimodal-vlms-until-july25-688312e6b840e1e156f13027
โ Multimodal VLMs - Aug'25 : prithivMLmods/multimodal-vlms-aug25-68a56aac39fe8084f3c168bd
โ VL caption โ < Sep 15 โ25 : prithivMLmods/vl-caption-sep-15-25-68c7f6d737985c63c13e2391
.
.
.
To know more about it, visit the app page or the respective model page!!
reacted to anakin87's post with ๐ฅ about 1 year ago
Post
4749
Want to quickly try Gemma 3 270m? ๐๐ฌ
I made a simple Space to do that: anakin87/gemma-3-270m-it
โก Fast: Flash Attention, Zero GPU
โ๏ธ Configurable
I made a simple Space to do that: anakin87/gemma-3-270m-it
โก Fast: Flash Attention, Zero GPU
โ๏ธ Configurable
reacted to nroggendorff's post with ๐ about 1 year ago
Post
4716
No, I did not create those bots that just got banned today.
- 4 replies
reacted to albertvillanova's post with ๐ about 1 year ago
Post
4645
Latest smolagents release supports GPT-5: build agents that think, plan, and act.
โก Upgrade now and put GPT-5 to work!
โก Upgrade now and put GPT-5 to work!
- 1 reply
reacted to sergiopaniego's post with ๐ฅ about 1 year ago
Post
2204
OpenAI's open models are out! ๐
Try: https://www.gpt-oss.com/
Learn: https://huggingface.co/blog/welcome-openai-gpt-oss
Try: https://www.gpt-oss.com/
Learn: https://huggingface.co/blog/welcome-openai-gpt-oss
- 1 reply