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Csplk's activity
reacted to
Yehor's
post with 🔥🔥
12 days ago
Post
2078
Convert your audio data to Parquet/DuckDB files with blazingly fast speeds!
Repository with pre-built binaries: https://github.com/crs-org/audios-to-dataset
Repository with pre-built binaries: https://github.com/crs-org/audios-to-dataset
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- 2 replies
reacted to
danielhanchen's
post with ❤️
12 days ago
Post
4643
You can now run Llama 4 on your own local device! 🦙
Run our Dynamic 1.78-bit and 2.71-bit Llama 4 GGUFs:
unsloth/Llama-4-Scout-17B-16E-Instruct-GGUF
You can run them on llama.cpp and other inference engines. See our guide here: https://docs.unsloth.ai/basics/tutorial-how-to-run-and-fine-tune-llama-4
Run our Dynamic 1.78-bit and 2.71-bit Llama 4 GGUFs:
unsloth/Llama-4-Scout-17B-16E-Instruct-GGUF
You can run them on llama.cpp and other inference engines. See our guide here: https://docs.unsloth.ai/basics/tutorial-how-to-run-and-fine-tune-llama-4
- 1 reply
reacted to
MikeDoes's
post with 😎
about 1 month ago
Post
2700
🚀 Ai4Privacy Team is excited to unveil PII-Masking-1M, our most significant release yet! 🎉
This publication series 📦 includes datasets 📊, models 🤖, and applications ⚙️ to advance PII masking with AI systems 🛡️
Starting on Monday with daily posts at 7 PM CET ⏰
This publication series 📦 includes datasets 📊, models 🤖, and applications ⚙️ to advance PII masking with AI systems 🛡️
Starting on Monday with daily posts at 7 PM CET ⏰
reacted to
thomwolf's
post with ❤️
about 1 month ago
Post
2834
We've kept pushing our Open-R1 project, an open initiative to replicate and extend the techniques behind DeepSeek-R1.
And even we were mind-blown by the results we got with this latest model we're releasing: ⚡️OlympicCoder ( open-r1/OlympicCoder-7B and open-r1/OlympicCoder-32B)
It's beating Claude 3.7 on (competitive) programming –a domain Anthropic has been historically really strong at– and it's getting close to o1-mini/R1 on olympiad level coding with just 7B parameters!
And the best part is that we're open-sourcing all about its training dataset, the new IOI benchmark, and more in our Open-R1 progress report #3: https://huggingface.co/blog/open-r1/update-3
Datasets are are releasing:
- open-r1/codeforces
- open-r1/codeforces-cots
- open-r1/ioi
- open-r1/ioi-test-cases
- open-r1/ioi-sample-solutions
- open-r1/ioi-cots
- open-r1/ioi-2024-model-solutions
And even we were mind-blown by the results we got with this latest model we're releasing: ⚡️OlympicCoder ( open-r1/OlympicCoder-7B and open-r1/OlympicCoder-32B)
It's beating Claude 3.7 on (competitive) programming –a domain Anthropic has been historically really strong at– and it's getting close to o1-mini/R1 on olympiad level coding with just 7B parameters!
And the best part is that we're open-sourcing all about its training dataset, the new IOI benchmark, and more in our Open-R1 progress report #3: https://huggingface.co/blog/open-r1/update-3
Datasets are are releasing:
- open-r1/codeforces
- open-r1/codeforces-cots
- open-r1/ioi
- open-r1/ioi-test-cases
- open-r1/ioi-sample-solutions
- open-r1/ioi-cots
- open-r1/ioi-2024-model-solutions
reacted to
prithivMLmods's
post with 🔥
about 2 months ago
Post
5896
Dropping some of the custom fine-tunes based on SigLIP2,
with a single/multi label classification problem type! 🌀🧤
- AI vs Deepfake vs Real : prithivMLmods/AI-vs-Deepfake-vs-Real-Siglip2
- Deepfake Detect : prithivMLmods/Deepfake-Detect-Siglip2
- Fire Detection : prithivMLmods/Fire-Detection-Siglip2
- Deepfake Quality Assess : prithivMLmods/Deepfake-Quality-Assess-Siglip2
- Guard Against Unsafe Content : prithivMLmods/Guard-Against-Unsafe-Content-Siglip2
🌠Collection : prithivMLmods/siglip2-custom-67bcdb2de8fe96b99fb4e19e
with a single/multi label classification problem type! 🌀🧤
- AI vs Deepfake vs Real : prithivMLmods/AI-vs-Deepfake-vs-Real-Siglip2
- Deepfake Detect : prithivMLmods/Deepfake-Detect-Siglip2
- Fire Detection : prithivMLmods/Fire-Detection-Siglip2
- Deepfake Quality Assess : prithivMLmods/Deepfake-Quality-Assess-Siglip2
- Guard Against Unsafe Content : prithivMLmods/Guard-Against-Unsafe-Content-Siglip2
🌠Collection : prithivMLmods/siglip2-custom-67bcdb2de8fe96b99fb4e19e
reacted to
davidberenstein1957's
post with ❤️
2 months ago
Post
3309
🚀 Find banger tools for your smolagents!
I created the Tools gallery, which makes tools specifically developed by/for smolagents searchable and visible. This will help with:
- inspiration
- best practices
- finding cool tools
Space: davidberenstein1957/smolagents-and-tools
I created the Tools gallery, which makes tools specifically developed by/for smolagents searchable and visible. This will help with:
- inspiration
- best practices
- finding cool tools
Space: davidberenstein1957/smolagents-and-tools
- 1 reply
reacted to
hlarcher's
post with 🔥
3 months ago
Post
1106
We are introducing multi-backend support in Hugging Face Text Generation Inference!
With new TGI architecture we are now able to plug new modeling backends to get best performances according to selected model and available hardware. This first step will very soon be followed by the integration of new backends (TRT-LLM, llama.cpp, vLLM, Neuron and TPU).
We are polishing the TensorRT-LLM backend which achieves impressive performances on NVIDIA GPUs, stay tuned 🤗 !
Check out the details: https://huggingface.co/blog/tgi-multi-backend
With new TGI architecture we are now able to plug new modeling backends to get best performances according to selected model and available hardware. This first step will very soon be followed by the integration of new backends (TRT-LLM, llama.cpp, vLLM, Neuron and TPU).
We are polishing the TensorRT-LLM backend which achieves impressive performances on NVIDIA GPUs, stay tuned 🤗 !
Check out the details: https://huggingface.co/blog/tgi-multi-backend
reacted to
CultriX's
post with ❤️
3 months ago
Post
2105
# Space for Multi-Agent Workflows using AutoGen
Hi all, I created this "AutoGen Multi-Agent Workflow" space that allows you to experiment with multi-agent workflows.
By default, it allows code generation with built-in quality control and automatic documentation generation. It achieves this by leveraging multiple AI agents working together to produce high-quality code snippets, ensuring they meet the specified requirements.
In addition to the default, the space allows users to set custom system messages for each assistant, potentially completely changing the workflow.
# Workflow Steps
1. User Input:
- The user defines a prompt, such as "Write a random password generator using python."
- Outcome: A clear task for the primary assistant to accomplish.
2. Primary Assistant Work:
- The primary assistant begins working on the provided prompt.
It generates an initial code snippet based on the user's request.
- Outcome: An initial proposal for the requested code.
3. Critic Feedback:
- The critic reviews the generated code provides feedback or (if the output meets the criteria), broadcasts the APPROVED message.
(This process repeats until the output is APPROVED or 10 messages have been exchanged).
- Outcome: A revised Python function that incorporates the critic's feedback.
4. Documentation Generation:
- Once the code is approved, it is passed to a documentation assistant.
The documentation assistant generates a concise documentation for the final code.
- Outcome: A short documentation including function description, parameters, and return values.
Enjoy!
CultriX/AutoGen-MultiAgent-Example
Hi all, I created this "AutoGen Multi-Agent Workflow" space that allows you to experiment with multi-agent workflows.
By default, it allows code generation with built-in quality control and automatic documentation generation. It achieves this by leveraging multiple AI agents working together to produce high-quality code snippets, ensuring they meet the specified requirements.
In addition to the default, the space allows users to set custom system messages for each assistant, potentially completely changing the workflow.
# Workflow Steps
1. User Input:
- The user defines a prompt, such as "Write a random password generator using python."
- Outcome: A clear task for the primary assistant to accomplish.
2. Primary Assistant Work:
- The primary assistant begins working on the provided prompt.
It generates an initial code snippet based on the user's request.
- Outcome: An initial proposal for the requested code.
3. Critic Feedback:
- The critic reviews the generated code provides feedback or (if the output meets the criteria), broadcasts the APPROVED message.
(This process repeats until the output is APPROVED or 10 messages have been exchanged).
- Outcome: A revised Python function that incorporates the critic's feedback.
4. Documentation Generation:
- Once the code is approved, it is passed to a documentation assistant.
The documentation assistant generates a concise documentation for the final code.
- Outcome: A short documentation including function description, parameters, and return values.
Enjoy!
CultriX/AutoGen-MultiAgent-Example
- 4 replies
replied to
singhsidhukuldeep's
post
3 months ago
Paper for those who wish to read it themselves https://arxiv.org/abs/2305.19860
Github from authors https://github.com/WLiK/LLM4Rec-Awesome-Papers
reacted to
cfahlgren1's
post with 🔥
3 months ago
Post
1770
Wow, I just added Langfuse tracing to the Deepseek Artifacts app and it's really nice 🔥
It allows me to visualize and track more things along with the cfahlgren1/react-code-instructions dataset.
It was just added as a one click Docker Space template, so it's super easy to self host 💪
It allows me to visualize and track more things along with the cfahlgren1/react-code-instructions dataset.
It was just added as a one click Docker Space template, so it's super easy to self host 💪
reacted to
davidberenstein1957's
post with ❤️
4 months ago
Post
4245
Introducing the Synthetic Data Generator, a user-friendly application that takes a no-code approach to creating custom datasets with Large Language Models (LLMs). The best part: A simple step-by-step process, making dataset creation a non-technical breeze, allowing anyone to create datasets and models in minutes and without any code.
Blog: https://huggingface.co/blog/synthetic-data-generator
Space: argilla/synthetic-data-generator
Blog: https://huggingface.co/blog/synthetic-data-generator
Space: argilla/synthetic-data-generator
- 4 replies
reacted to
alielfilali01's
post with ❤️
4 months ago
Post
3506
Unpopular opinion: Open Source takes courage to do !
Not everyone is brave enough to release what they have done (the way they've done it) to the wild to be judged !
It really requires a high level of "knowing wth are you doing" ! It's kind of a super power !
Cheers to the heroes here who see this!
Not everyone is brave enough to release what they have done (the way they've done it) to the wild to be judged !
It really requires a high level of "knowing wth are you doing" ! It's kind of a super power !
Cheers to the heroes here who see this!
- 5 replies
reacted to
dylanebert's
post with 🔥
5 months ago
Post
1705
Generate meshes with AI locally in Blender
📢 New open-source release
meshgen, a local blender integration of LLaMa-Mesh, is open source and available now 🤗
get started here: https://github.com/huggingface/meshgen
📢 New open-source release
meshgen, a local blender integration of LLaMa-Mesh, is open source and available now 🤗
get started here: https://github.com/huggingface/meshgen
reacted to
prithivMLmods's
post with 👍
5 months ago
Post
2946
Weekend Dribble 📦🍺
Adapters for Product Ad Backdrops, Smooth Polaroids, Minimalist Sketch cards, Super Blends!!
🤏Demo on: prithivMLmods/FLUX-LoRA-DLC
Stranger Zones :
👉🏼{ Super Blend } : strangerzonehf/Flux-Super-Blend-LoRA
👉🏼{ Product Concept Ad } : prithivMLmods/Flux-Product-Ad-Backdrop
👉🏼{ Frosted Mock-ups } : prithivMLmods/Flux.1-Dev-Frosted-Container-LoRA
👉🏼{ Polaroid Plus } : prithivMLmods/Flux-Polaroid-Plus
👉🏼{Sketch Cards} : prithivMLmods/Flux.1-Dev-Sketch-Card-LoRA
👉Stranger Zone:
strangerzonehf
👉Flux LoRA Collections: prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be
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@prithivMLmods 🤗
Adapters for Product Ad Backdrops, Smooth Polaroids, Minimalist Sketch cards, Super Blends!!
🤏Demo on: prithivMLmods/FLUX-LoRA-DLC
Stranger Zones :
👉🏼{ Super Blend } : strangerzonehf/Flux-Super-Blend-LoRA
👉🏼{ Product Concept Ad } : prithivMLmods/Flux-Product-Ad-Backdrop
👉🏼{ Frosted Mock-ups } : prithivMLmods/Flux.1-Dev-Frosted-Container-LoRA
👉🏼{ Polaroid Plus } : prithivMLmods/Flux-Polaroid-Plus
👉🏼{Sketch Cards} : prithivMLmods/Flux.1-Dev-Sketch-Card-LoRA
👉Stranger Zone:
strangerzonehf
👉Flux LoRA Collections: prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be
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@prithivMLmods 🤗
reacted to
csabakecskemeti's
post with 👍
5 months ago
Post
1255
Some time ago, I built a predictive LLM router that routes chat requests between small and large LLM models based on prompt classification. It dynamically selects the most suitable model depending on the complexity of the user input, ensuring optimal performance while maintaining conversation context. I also fine-tuned a RoBERTa model to use with the package, but you can plug and play any classifier of your choice.
Project's homepage:
https://devquasar.com/llm-predictive-router/
Pypi:
https://pypi.org/project/llm-predictive-router/
Model:
DevQuasar/roberta-prompt_classifier-v0.1
Training data:
DevQuasar/llm_router_dataset-synth
Git:
https://github.com/csabakecskemeti/llm_predictive_router_package
Feel free to check it out, and/or contribute.
Project's homepage:
https://devquasar.com/llm-predictive-router/
Pypi:
https://pypi.org/project/llm-predictive-router/
Model:
DevQuasar/roberta-prompt_classifier-v0.1
Training data:
DevQuasar/llm_router_dataset-synth
Git:
https://github.com/csabakecskemeti/llm_predictive_router_package
Feel free to check it out, and/or contribute.
replied to
prithivMLmods's
post
5 months ago
You really have been bringing the goodies lately (formerly too!) thanks !
reacted to
prithivMLmods's
post with ❤️
5 months ago
Post
3970
Minimalistic Adapters 🎃
🚀Demo Here:
prithivMLmods/FLUX-LoRA-DLC
🚀Model:
{ Quote Tuner } : prithivMLmods/Flux.1-Dev-Quote-LoRA
{ Stamp Art } : prithivMLmods/Flux.1-Dev-Stamp-Art-LoRA
{ Hand Sticky } : prithivMLmods/Flux.1-Dev-Hand-Sticky-LoRA
{ Poster HQ } : prithivMLmods/Flux.1-Dev-Poster-HQ-LoRA
{ Ctoon Min } : prithivMLmods/Flux.1-Dev-Ctoon-LoRA
🚀Collection:
{ Flux LoRA Collection} : prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be
{ LoRA Space Collection } : prithivMLmods/lora-space-collections-6714b72e0d49e1c97fbd6a32
🚀For More Visit
strangerzonehf
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🤗@prithivMLmods
🚀Demo Here:
prithivMLmods/FLUX-LoRA-DLC
🚀Model:
{ Quote Tuner } : prithivMLmods/Flux.1-Dev-Quote-LoRA
{ Stamp Art } : prithivMLmods/Flux.1-Dev-Stamp-Art-LoRA
{ Hand Sticky } : prithivMLmods/Flux.1-Dev-Hand-Sticky-LoRA
{ Poster HQ } : prithivMLmods/Flux.1-Dev-Poster-HQ-LoRA
{ Ctoon Min } : prithivMLmods/Flux.1-Dev-Ctoon-LoRA
🚀Collection:
{ Flux LoRA Collection} : prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be
{ LoRA Space Collection } : prithivMLmods/lora-space-collections-6714b72e0d49e1c97fbd6a32
🚀For More Visit
strangerzonehf
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🤗@prithivMLmods
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- 3 replies
reacted to
merve's
post with 🔥
5 months ago
Post
5274
OmniVision-968M: a new local VLM for edge devices, fast & small but performant
💨 a new vision language model with 9x less image tokens, super efficient
📖 aligned with DPO for reducing hallucinations
⚡️ Apache 2.0 license 🔥
Demo hf.co/spaces/NexaAIDev/omnivlm-dpo-demo
Model https://huggingface.co/NexaAIDev/omnivision-968M
💨 a new vision language model with 9x less image tokens, super efficient
📖 aligned with DPO for reducing hallucinations
⚡️ Apache 2.0 license 🔥
Demo hf.co/spaces/NexaAIDev/omnivlm-dpo-demo
Model https://huggingface.co/NexaAIDev/omnivision-968M
- 4 replies