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what are limits of using these? how many api calls can i send them per month?

How can I know which model am using

How can I know which model am using

at the bottom of your screen:

Out of all these models, Gemma, which was recently released, has the newest information about .NET. However, I don't know which one has the most accurate answers regarding coding

Gemma seems really biased. With web search on, it says that it doesn't have access to recent information asking it almost anything about recent events. But when I ask it about recent events with Google, I get responses with the recent events.

apparently gemma cannot code?

Gemma is just like Google's Gemini series models, it have a very strong moral limit put on, any operation that may related to file operation, access that might be deep, would be censored and refused to reply.
So even there are solution for such things in its training data, it will just be filtered and ignored.
But still didn't test the coding accuracy that doesn't related to these kind of "dangerous" operations

Hi guys the current search feature encounters an error while fetching the internet (its a bug!), @nsarrazin please fix it.
We used to submit this issue on github, then he fixed it for us. But this time, the bug reappeared again.

here is the full github issue: https://github.com/huggingface/chat-ui/issues/1812
any help?

Dear Hugging Face Team,

First of all, thank you for building and continuously improving HuggingChat — it's an excellent platform that provides an accessible and user-friendly interface to powerful AI models. Your efforts have truly made Hugging Face a go-to destination for developers, researchers, and AI enthusiasts around the world.

As a regular user and fan of HuggingChat, I’d like to propose an enhancement that could significantly enrich the overall user experience:

Suggestion: Integrate More Up-to-Date Open-Source LLMs into HuggingChat (not just in the Playground)

While HuggingChat currently offers great performance, expanding the selection of available models—especially directly within HuggingChat and not only in the Hugging Playground—would provide users with more flexibility, comparison opportunities, and better alignment with the rapidly evolving open-source LLM landscape.

Recommended Models for Inclusion:
1)DeepSeek-R2
2)LLaMA-4 Maverick 03-26 (Experimental)
3)LLaMA-4 Maverick-17B-128E Instruct
4)LLaMA 4 Scout
and MORE Other top-tier open-source models as of May 2025 (newer versions of Gemma, Falcon, Qwen, Mistral Large, Dolphin etc.) unlike only ONE MODEL IS QUITE GOOD IN HUGGINGCHAT (LLAMA 3.3 - 70B) AND ALL OTHERS ARE OLDER/SLOWER AND OUTDATED(YOU CAN REPLACE THEM WITH NEWER AND HIGHLY CAPABLE, OPEN-SOURCE MODELS)...refer the images

These models represent the latest advancements in open-source LLMs, and their integration into HuggingChat would enable users to experiment with, compare, and build upon a wider variety of model architectures and training paradigms.

✅ Why This Matters:

• Encourages innovation and diversity in AI usage
• Helps showcase Hugging Face as a leader in open-source AI access
• Provides a better and more flexible user experience
• Supports researchers and developers interested in the cutting edge

Once again, thank you for the amazing tools you’re creating and maintaining. I hope this suggestion adds value to the future roadmap of HuggingChat. Keep up the incredible work! 💙

Dear Hugging Face Team,

First of all, thank you for building and continuously improving HuggingChat — it's an excellent platform that provides an accessible and user-friendly interface to powerful AI models. Your efforts have truly made Hugging Face a go-to destination for developers, researchers, and AI enthusiasts around the world.

As a regular user and fan of HuggingChat, I’d like to propose an enhancement that could significantly enrich the overall user experience:

Suggestion: Integrate More Up-to-Date Open-Source LLMs into HuggingChat (not just in the Playground)

While HuggingChat currently offers great performance, expanding the selection of available models—especially directly within HuggingChat and not only in the Hugging Playground—would provide users with more flexibility, comparison opportunities, and better alignment with the rapidly evolving open-source LLM landscape.

Recommended Models for Inclusion:
1)DeepSeek-V3
2)LLaMA-4 Maverick 03-26 (Experimental)
3)LLaMA-4 Maverick-17B-128E Instruct
4)LLaMA 4 Scout
and MORE Other top-tier open-source models as of May 2025 (newer versions of Gemma, Falcon, Qwen, Mistral Large, Dolphin etc.) unlike only ONE MODEL IS QUITE GOOD IN HUGGINGCHAT (LLAMA 3.3 - 70B) AND ALL OTHERS ARE OLDER/SLOWER AND OUTDATED(YOU CAN REPLACE THEM WITH NEWER AND HIGHLY CAPABLE, OPEN-SOURCE MODELS)...refer the images

These models represent the latest advancements in open-source LLMs, and their integration into HuggingChat would enable users to experiment with, compare, and build upon a wider variety of model architectures and training paradigms.

✅ Why This Matters:

• Encourages innovation and diversity in AI usage
• Helps showcase Hugging Face as a leader in open-source AI access
• Provides a better and more flexible user experience
• Supports researchers and developers interested in the cutting edge

Once again, thank you for the amazing tools you’re creating and maintaining. I hope this suggestion adds value to the future roadmap of HuggingChat. Keep up the incredible work! 💙

since deepseek r1 is already there, v3 is not needed. it is ok to replace llama 3 with llama 4 maverick instead of scout. since maverick performs better.

since deepseek r1 is already there, v3 is not needed. it is ok to replace llama 3 with llama 4 maverick instead of scout. since maverick performs better.

BUT DEEPSEEK-V3 IS BETTER THAN R1 IN CODING. IT IS QWEN-FINED TUNED BTW, NOT THE ORIGINAL R1...THE HUGGINGCHAT VERSION OUTPERFORMS o1-mini, BUT THE ORIGINAL R1 OUTPERFORMS OpenAI's o1

since deepseek r1 is already there, v3 is not needed. it is ok to replace llama 3 with llama 4 maverick instead of scout. since maverick performs better.

BUT DEEPSEEK-V3 IS BETTER THAN R1 IN CODING. IT IS QWEN-FINED TUNED BTW, NOT THE ORIGINAL R1...THE HUGGINGCHAT VERSION OUTPERFORMS o1-mini, BUT THE ORIGINAL R1 OUTPERFORMS OpenAI's o1

wait. no need for v3. bc r2 is about to be released.

Hi guys the current search feature encounters an error while fetching the internet (its a bug!), @nsarrazin please fix it.
We used to submit this issue on github, then he fixed it for us. But this time, the bug reappeared again.

here is the full github issue: https://github.com/huggingface/chat-ui/issues/1812
any help?

it has been over 2 days since 0 solutions have been made to tackle this issue. we want this problem solved immediately.

can anyone please add llama 4 maverick to huggingchat while we wait for deepseek r2 to be relased?