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AFOliveiraΒ
updated a
Space 9 days ago
burtenshawΒ
updated a
Space about 1 month ago
burtenshawΒ
published a
Space about 1 month ago
Post
1906
2025: The Year of Agents.
2026: The Year of Local Agents?
Relying on cloud-hosted LLMs is often overkill. While frontier models still lead in complex coding, local models are now more than capable of handling many agentic workflowsβwith zero latency and total privacy.
To help bridge the gap between local inference and usable agents, Iβm releasing agent.cpp: https://github.com/mozilla-ai/agent.cpp
It provides minimal, high-performance building blocks for agents in C++, built directly around the awesome llama.cpp ecosystem.
Stop sending your data to a remote API. Start building and running agents on your own hardware.
2026: The Year of Local Agents?
Relying on cloud-hosted LLMs is often overkill. While frontier models still lead in complex coding, local models are now more than capable of handling many agentic workflowsβwith zero latency and total privacy.
To help bridge the gap between local inference and usable agents, Iβm releasing agent.cpp: https://github.com/mozilla-ai/agent.cpp
It provides minimal, high-performance building blocks for agents in C++, built directly around the awesome llama.cpp ecosystem.
Stop sending your data to a remote API. Start building and running agents on your own hardware.
- 1 reply
ParamThΒ
authored 3
papers 9 months ago
Personalized Recommendation Systems using Multimodal, Autonomous, Multi Agent Systems
Paper β’ 2410.19855 β’ Published β’ 1
BenchRL-QAS: Benchmarking reinforcement learning algorithms for quantum architecture search
Paper β’ 2507.12189 β’ Published β’ 1
Flood Prediction Using Classical and Quantum Machine Learning Models
Paper β’ 2407.01001 β’ Published β’ 1
burtenshawΒ
authored a
paper 10 months ago
burtenshawΒ
posted an update 10 months ago
Post
9047
Smol course has a distinctive approach to teaching post-training, so I'm posting about how itβs different to other post-training courses, including the llm course thatβs already available.
In short, the smol course is just more direct that any of the other course, and intended for semi-pro post trainers.
- Itβs a minimal set of instructions on the core parts.
- Itβs intended to bootstrap real projects you're working on.
- The material handsover to existing documentation for details
- Likewise, it handsover to the LLM course for basics.
- Assessment is based on a leaderboard, without reading all the material.
To start the smol course, follow here:
smol-course
In short, the smol course is just more direct that any of the other course, and intended for semi-pro post trainers.
- Itβs a minimal set of instructions on the core parts.
- Itβs intended to bootstrap real projects you're working on.
- The material handsover to existing documentation for details
- Likewise, it handsover to the LLM course for basics.
- Assessment is based on a leaderboard, without reading all the material.
To start the smol course, follow here:
burtenshawΒ
posted an update 10 months ago
Post
5565
new smol course
If youβre building with or learning about post training AI models right now, we have a new FREE and CERTIFIED course.
π Follow the org to join in smol-course
The course builds on smol course v1 which was the fastest way to learn to train your custom AI models. It now has:
- A leaderboard for students to submit models to
- Certification based on exams and leaderboards
- Prizes based on Leaderboards
- Up to date content on TRL and SmolLM3
- Deep integration with the Hubβs compute for model training and evaluation
We will release chapters every few weeks, so you can follow the org to stay updated.
If youβre building with or learning about post training AI models right now, we have a new FREE and CERTIFIED course.
π Follow the org to join in
The course builds on smol course v1 which was the fastest way to learn to train your custom AI models. It now has:
- A leaderboard for students to submit models to
- Certification based on exams and leaderboards
- Prizes based on Leaderboards
- Up to date content on TRL and SmolLM3
- Deep integration with the Hubβs compute for model training and evaluation
We will release chapters every few weeks, so you can follow the org to stay updated.
- 2 replies
burtenshawΒ
posted an update 11 months ago
Post
3199
The open source AI community is just made of people who are passionate and care about their work. So we thought it would be cool to share our favourite icons of the community with a fun award.
Winners get free Hugging Face Pro Subscriptions, Merchandise, or compute credits for the hub.
π Follow and nominate here:
community-spotlight
This is a new initiative to recognise and celebrate the incredible work being done by community members. It's all about inspiring more collaboration and innovation in the world of machine learning and AI.
They're highlighting contributors in four key areas:
- model creators: building and sharing innovative and state-of-the-art models.
- educators: sharing knowledge through posts, articles, demos, and events.
- tool builders: creating the libraries, frameworks, and applications that we all use.
- community champions: supporting and mentoring others in forums.
Know someone who deserves recognition? Nominate them by opening a post in the Hugging Face community forum.
Winners get free Hugging Face Pro Subscriptions, Merchandise, or compute credits for the hub.
π Follow and nominate here:
This is a new initiative to recognise and celebrate the incredible work being done by community members. It's all about inspiring more collaboration and innovation in the world of machine learning and AI.
They're highlighting contributors in four key areas:
- model creators: building and sharing innovative and state-of-the-art models.
- educators: sharing knowledge through posts, articles, demos, and events.
- tool builders: creating the libraries, frameworks, and applications that we all use.
- community champions: supporting and mentoring others in forums.
Know someone who deserves recognition? Nominate them by opening a post in the Hugging Face community forum.
- 1 reply
Post
192
A new minor version of
https://github.com/mozilla-ai/any-agent/releases/tag/1.1.0
- π€Improvements for Small Language Models
We recommend tinyagent to be used as default when working with Small Language Models.
- π§ͺ Extending and Improving test suite.
For example, we now include a cookbook and an integration test running a Small Language Model (Qwen 1.7B)
- πExtending and Improving docs
any-agent (1.1.0 ) is out πhttps://github.com/mozilla-ai/any-agent/releases/tag/1.1.0
- π€Improvements for Small Language Models
We recommend tinyagent to be used as default when working with Small Language Models.
- π§ͺ Extending and Improving test suite.
For example, we now include a cookbook and an integration test running a Small Language Model (Qwen 1.7B)
- πExtending and Improving docs
burtenshawΒ
posted an update about 1 year ago
Post
1657
Kimi-K2 is ready for general use! In these notebooks I walk you through use cases like function calling and structured outputs.
π burtenshaw/Kimi-K2-notebooks
You can swap it into any OpenAI compatible application via Inference Providers and get to work with an open source model.
π burtenshaw/Kimi-K2-notebooks
You can swap it into any OpenAI compatible application via Inference Providers and get to work with an open source model.
- 1 reply
burtenshawΒ
posted an update about 1 year ago
Post
3190
Inference for generative ai models looks like a mine field, but thereβs a simple protocol for picking the best inference:
π 95% of users >> If youβre using open (large) models and need fast online inference, then use Inference providers on auto mode, and let it choose the best provider for the model. https://huggingface.co/docs/inference-providers/index
π· fine-tuners/ bespoke >> If youβve got custom setups, use Inference Endpoints to define a configuration from AWS, Azure, GCP. https://endpoints.huggingface.co/
𦫠Locals >> If youβre trying to stretch everything you can out of a server or local machine, use Llama.cpp, Jan, LMStudio or vLLM. https://huggingface.co/settings/local-apps#local-apps
πͺ Browsers >> If you need open models running right here in the browser, use transformers.js. https://github.com/huggingface/transformers.js
Let me know what youβre using, and if you think itβs more complex than this.
π 95% of users >> If youβre using open (large) models and need fast online inference, then use Inference providers on auto mode, and let it choose the best provider for the model. https://huggingface.co/docs/inference-providers/index
π· fine-tuners/ bespoke >> If youβve got custom setups, use Inference Endpoints to define a configuration from AWS, Azure, GCP. https://endpoints.huggingface.co/
𦫠Locals >> If youβre trying to stretch everything you can out of a server or local machine, use Llama.cpp, Jan, LMStudio or vLLM. https://huggingface.co/settings/local-apps#local-apps
πͺ Browsers >> If you need open models running right here in the browser, use transformers.js. https://github.com/huggingface/transformers.js
Let me know what youβre using, and if you think itβs more complex than this.
burtenshawΒ
posted an update about 1 year ago
Post
1212
You don't need remote APIs for a coding copliot, or the MCP Course! Set up a fully local IDE with MCP integration using Continue. In this tutorial Continue guides you through setting it up.
This is what you need to do to take control of your copilot:
1. Get the Continue extension from the [VS Code marketplace](https://marketplace.visualstudio.com/items?itemName=Continue.continue) to serve as the AI coding assistant.
2. Serve the model with an OpenAI compatible server in Llama.cpp / LmStudio/ etc.
3. Create a
4. Create a
Check out the full tutorial in the [the MCP course](https://huggingface.co/learn/mcp-course/unit2/continue-client)
This is what you need to do to take control of your copilot:
1. Get the Continue extension from the [VS Code marketplace](https://marketplace.visualstudio.com/items?itemName=Continue.continue) to serve as the AI coding assistant.
2. Serve the model with an OpenAI compatible server in Llama.cpp / LmStudio/ etc.
llama-server -hf unsloth/Devstral-Small-2505-GGUF:Q4_K_M3. Create a
.continue/models/llama-max.yaml file in your project to tell Continue how to use the local Ollama model.name: Llama.cpp model
version: 0.0.1
schema: v1
models:
- provider: llama.cpp
model: unsloth/Devstral-Small-2505-GGUF
apiBase: http://localhost:8080
defaultCompletionOptions:
contextLength: 8192
# Adjust based on the model
name: Llama.cpp Devstral-Small
roles:
- chat
- edit4. Create a
.continue/mcpServers/playwright-mcp.yaml file to integrate a tool, like the Playwright browser automation tool, with your assistant.name: Playwright mcpServer
version: 0.0.1
schema: v1
mcpServers:
- name: Browser search
command: npx
args:
- "@playwright/mcp@latest"Check out the full tutorial in the [the MCP course](https://huggingface.co/learn/mcp-course/unit2/continue-client)
- 1 reply
burtenshawΒ
posted an update about 1 year ago
Post
1825
Brand new MCP Course has units are out, and now it's getting REAL! We've collaborated with Anthropic to dive deep into production ready and autonomous agents using MCP
π mcp-course
This is what the new material covers and includes:
- Use Claude Code to build an autonomous PR agent
- Integrate your agent with Slack and Github to integrate it with you Team
- Get certified on your use case and share with the community
- Build an autonomous PR cleanup agent on the Hugging Face hub and deploy it with spaces
The material goes deep into these problems and helps you to build applications that work. Weβre super excited to see what you build with it.
π mcp-course
This is what the new material covers and includes:
- Use Claude Code to build an autonomous PR agent
- Integrate your agent with Slack and Github to integrate it with you Team
- Get certified on your use case and share with the community
- Build an autonomous PR cleanup agent on the Hugging Face hub and deploy it with spaces
The material goes deep into these problems and helps you to build applications that work. Weβre super excited to see what you build with it.
burtenshawΒ
posted an update about 1 year ago
Post
1686
Super excited to release Autotrain MCP. This is an MCP server for training AI models, so you can use your AI tools to train your AI models π€―.
π burtenshaw/autotrain-mcp
Use this MCP server with tools like Claude Desktop, Cursor, VSCode, or Continue to do this:
- Define an ML problem like Image Classification, LLM fine-tuning, Text Classification, etc.
- The AI can retrieve models and datasets from the hub using the hub MCP.
- Training happens on a Hugging Face space, so no worries about hardware restraints.
- Models are pushed to the hub to be used inference tools like Llama.cpp, vLLM, MLX, etc.
- Built on top of the AutoTrain library, so it has full integration with transformers and other libraries.
Everything is still under active development, but Iβm super excited to hear what people build, and Iβm open to contributions!
π burtenshaw/autotrain-mcp
Use this MCP server with tools like Claude Desktop, Cursor, VSCode, or Continue to do this:
- Define an ML problem like Image Classification, LLM fine-tuning, Text Classification, etc.
- The AI can retrieve models and datasets from the hub using the hub MCP.
- Training happens on a Hugging Face space, so no worries about hardware restraints.
- Models are pushed to the hub to be used inference tools like Llama.cpp, vLLM, MLX, etc.
- Built on top of the AutoTrain library, so it has full integration with transformers and other libraries.
Everything is still under active development, but Iβm super excited to hear what people build, and Iβm open to contributions!
- 1 reply
burtenshawΒ
posted an update about 1 year ago
Post
2758
MCP course is now LIVE! We just dropped quizzes, videos, and live streams to make it a fully interactive course:
π join in now: mcp-course
- Itβs still free!
- Video 1 walks you through onboarding to the course
- The first live session is next week!
- You can now get a certificate via exam app
- We improved and written material with interactive quizzes
If youβre studying MCP and want a live, interactive, visual, certified course, then join us on the hub!
π join in now: mcp-course
- Itβs still free!
- Video 1 walks you through onboarding to the course
- The first live session is next week!
- You can now get a certificate via exam app
- We improved and written material with interactive quizzes
If youβre studying MCP and want a live, interactive, visual, certified course, then join us on the hub!
Post
1937
Check our new demo, built with https://github.com/mozilla-ai/any-agent
You can use and evaluate different agent frameworks to find the best surf spots based on the forecast ππ
https://huggingface.co/spaces/mozilla-ai/surf-spot-finder
You can use and evaluate different agent frameworks to find the best surf spots based on the forecast ππ
https://huggingface.co/spaces/mozilla-ai/surf-spot-finder
burtenshawΒ
posted an update about 1 year ago
Post
3345
We're thrilled to announce the launch of our comprehensive Model Context Protocol (MCP) Course! This free program is designed to take learners from foundational understanding to practical application of MCP in AI.
Follow the course on the hub: mcp-course
In this course, you will:
π Study Model Context Protocol in theory, design, and practice.
π§βπ» Learn to use established MCP SDKs and frameworks.
πΎ Share your projects and explore applications created by the community.
π Participate in challenges and evaluate your MCP implementations.
π Earn a certificate of completion.
At the end of this course, you'll understand how MCP works and how to build your own AI applications that leverage external data and tools using the latest MCP standards.
Follow the course on the hub: mcp-course
In this course, you will:
π Study Model Context Protocol in theory, design, and practice.
π§βπ» Learn to use established MCP SDKs and frameworks.
πΎ Share your projects and explore applications created by the community.
π Participate in challenges and evaluate your MCP implementations.
π Earn a certificate of completion.
At the end of this course, you'll understand how MCP works and how to build your own AI applications that leverage external data and tools using the latest MCP standards.
- 1 reply