dots.llm1
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Adina Yakefu
AdinaY
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dots.llm1
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about 11 hours ago
🍉 June 2025 - Open works from the Chinese community
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about 17 hours ago
RedNote 小红书 just released their first LLM 🔥
dots.llm1.base 🪐 a 142B MoE model with only 14B active params.
https://huggingface.co/collections/rednote-hilab/dotsllm1-68246aaaaba3363374a8aa7c
✨ Base & Instruct - MIT license
✨ Trained on 11.2T non-synthetic high-quality data
✨ Competitive with Qwen2.5/3 on reasoning, code, alignment
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AdinaY's activity
upvoted
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posted
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about 17 hours ago
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703
RedNote 小红书 just released their first LLM 🔥
dots.llm1.base 🪐 a 142B MoE model with only 14B active params.
rednote-hilab/dotsllm1-68246aaaaba3363374a8aa7c
✨ Base & Instruct - MIT license
✨ Trained on 11.2T non-synthetic high-quality data
✨ Competitive with Qwen2.5/3 on reasoning, code, alignment
dots.llm1.base 🪐 a 142B MoE model with only 14B active params.
rednote-hilab/dotsllm1-68246aaaaba3363374a8aa7c
✨ Base & Instruct - MIT license
✨ Trained on 11.2T non-synthetic high-quality data
✨ Competitive with Qwen2.5/3 on reasoning, code, alignment
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about 17 hours ago
Post
134
MiniCPM4🔥 efficient LLMs built for end-side devices, by OpenBMB
openbmb/minicpm4-6841ab29d180257e940baa9b
✨ Apache 2.0
✨ 5–7× Faster Inference (Jetson Orin & RTX 4090)
✨ 8B trained on 8T clean, non-synthetic tokens
✨ 32K Native Context -> 128K+ with InfLLM v2 + LongRoPE
✨ Runs on 🤗Transformers , http://CPM.cu, vLLM, and SGLang
openbmb/minicpm4-6841ab29d180257e940baa9b
✨ Apache 2.0
✨ 5–7× Faster Inference (Jetson Orin & RTX 4090)
✨ 8B trained on 8T clean, non-synthetic tokens
✨ 32K Native Context -> 128K+ with InfLLM v2 + LongRoPE
✨ Runs on 🤗Transformers , http://CPM.cu, vLLM, and SGLang
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Article
What if Your AI Conversations Become Public?
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New models from Qwen 🔥
Qwen3-Embedding and Qwen3-Reranker Series just released on the hub by
Alibaba Qwen team.
✨ 0.6B/ 4B/ 8B with Apache2.0
✨ Supports 119 languages 🤯
✨ Top-tier performance: Leading the MTEB multilingual leaderboard！
Reranker:
Qwen/qwen3-reranker-6841b22d0192d7ade9cdefea
Embedding:
Qwen/qwen3-embedding-6841b2055b99c44d9a4c371f
Qwen3-Embedding and Qwen3-Reranker Series just released on the hub by
Alibaba Qwen team.
✨ 0.6B/ 4B/ 8B with Apache2.0
✨ Supports 119 languages 🤯
✨ Top-tier performance: Leading the MTEB multilingual leaderboard！
Reranker:
Qwen/qwen3-reranker-6841b22d0192d7ade9cdefea
Embedding:
Qwen/qwen3-embedding-6841b2055b99c44d9a4c371f
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