Youtu
Collection
4 items
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Updated
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10
Junrulu
Junrulu
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Recent Activity
upvoted
a
collection
about 18 hours ago
Youtu
new activity
1 day ago
tencent/Youtu-LLM-2B:Update README.md
new activity
1 day ago
tencent/Youtu-LLM-2B:update quickstart
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upvoted
a
collection
about 18 hours ago
Update README.md
🤝
1
1
#10 opened 2 days ago
by
pjort
update quickstart
#13 opened 1 day ago
by
hevans
Update README.md for transformers' version annotation
#12 opened 1 day ago
by
Junrulu
@check_model_inputs # <--- 这是导致问题的行
3
#11 opened 2 days ago
by
aifeifei798
replied to
their
post
3 days ago
We are recruiting high-level interns (Qingyun/青云) for exploring scaling laws in agentic mid-training. If you are interested, feel free to contact me.
Update README.md
#1 opened 3 days ago
by
Junrulu
Thinking tags
3
#1 opened 6 days ago
by
twoxfh
liked
a
model
3 days ago
Update README.md
#9 opened 3 days ago
by
Junrulu
Update README.md
#6 opened 3 days ago
by
Junrulu
updated
a
model
3 days ago
Update LICENSE.txt
#7 opened 4 days ago
by
Junrulu
upvoted
a
paper
4 days ago
posted
an
update
5 days ago
Post
192
We are pleased to introduce a brand-new lightweight LLM, Youtu-LLM:
(1) Youtu-LLM has a total of 2B parameters, employing a 32-layer dense MLA architecture and equipped with an innovative STEM- and agentic-oriented vocabulary;
(2) Based on approximately 11T tokens of pre-training, particularly with native 128k long context extension and native agentic mid-training, Youtu-LLM-2B is comparable to Qwen3-4B in general and agent capabilities;
(3) We have open-sourced the Base/Instruct versions, as well as the evaluation code for reproducing the test metrics. In the technical report, we share our experience of native agentic pre-training in detail.
Youtu-LLM-2B is very suitable as a starting point for exploring on-device agent practice. Meanwhile, we are currently extending this paradigm to larger-scale explorations. We welcome more discussion and collaboration!
🔗 Check the project here: https://github.com/TencentCloudADP/youtu-tip/tree/master/youtu-llm
🤗 Check the models here: https://huggingface.co/collections/tencent/youtu
(1) Youtu-LLM has a total of 2B parameters, employing a 32-layer dense MLA architecture and equipped with an innovative STEM- and agentic-oriented vocabulary;
(2) Based on approximately 11T tokens of pre-training, particularly with native 128k long context extension and native agentic mid-training, Youtu-LLM-2B is comparable to Qwen3-4B in general and agent capabilities;
(3) We have open-sourced the Base/Instruct versions, as well as the evaluation code for reproducing the test metrics. In the technical report, we share our experience of native agentic pre-training in detail.
Youtu-LLM-2B is very suitable as a starting point for exploring on-device agent practice. Meanwhile, we are currently extending this paradigm to larger-scale explorations. We welcome more discussion and collaboration!
🔗 Check the project here: https://github.com/TencentCloudADP/youtu-tip/tree/master/youtu-llm
🤗 Check the models here: https://huggingface.co/collections/tencent/youtu
-
- 1 reply
updated
a
model
5 days ago
Update README.md
#5 opened 5 days ago
by
Junrulu
fix typo in readme
#4 opened 5 days ago
by
Junrulu
authored
a
paper
6 days ago
commented
a
paper
8 days ago