|
|
@@ -7,12 +7,12 @@
|
|
|
|
|
|
## Trending LLM Projects
|
|
|
|
|
|
-- [Deep-Live-Cam](https://github.com/hacksider/Deep-Live-Cam) - real time face swap and one-click video deepfake with only a single image (uncensored).
|
|
|
-- [MiniCPM-V 2.6](https://github.com/OpenBMB/MiniCPM-V) - A GPT-4V Level MLLM for Single Image, Multi Image and Video on Your Phone
|
|
|
-- [GPT-SoVITS](https://github.com/RVC-Boss/GPT-SoVITS) - 1 min voice data can also be used to train a good TTS model! (few shot voice cloning).
|
|
|
+- [OpenAI o3 preview](https://openai.com/12-days/) - AGI, maybe?
|
|
|
+- [Qwen2.5 Technical Report](https://huggingface.co/papers/2412.15115) - This report introduces Qwen2.5, a comprehensive series of large language models (LLMs) designed to meet diverse needs.
|
|
|
+- [Genesis](https://github.com/Genesis-Embodied-AI/Genesis) - A generative world for general-purpose robotics & embodied AI learning.
|
|
|
+- [ModernBERT](https://github.com/AnswerDotAI/ModernBERT) - Bringing BERT into modernity via both architecture changes and scaling.
|
|
|
|
|
|
## Table of Content
|
|
|
-
|
|
|
- [Awesome-LLM ](#awesome-llm-)
|
|
|
- [Milestone Papers](#milestone-papers)
|
|
|
- [Other Papers](#other-papers)
|
|
|
@@ -85,10 +85,9 @@
|
|
|
| 2023-10 | Mistral 7B | Mistral | [Mistral 7B](https://arxiv.org/pdf/2310.06825.pdf) |
|
|
|
| 2023-12 | Mamba | CMU&Princeton | [Mamba: Linear-Time Sequence Modeling with Selective State Spaces](https://arxiv.org/pdf/2312.00752) |
|
|
|
| 2024-01 | DeepSeek-v2 | DeepSeek | [DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model](https://arxiv.org/abs/2405.04434) |
|
|
|
-| 2024-03 | Jamba | AI21 Labs | [Jamba: A Hybrid Transformer-Mamba Language Model](https://arxiv.org/pdf/2403.19887) |
|
|
|
| 2024-05 | Mamba2 | CMU&Princeton | [Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality](https://arxiv.org/abs/2405.21060)|
|
|
|
| 2024-05 | Llama3 | Meta | [The Llama 3 Herd of Models](https://arxiv.org/abs/2407.21783) |
|
|
|
-
|
|
|
+| 2024-12 | Qwen2.5 | Alibaba | [Qwen2.5 Technical Report](https://arxiv.org/abs/2412.15115) |
|
|
|
|
|
|
|
|
|
## Other Papers
|
|
|
@@ -130,9 +129,10 @@ If you're interested in the field of LLM, you may find the above list of milesto
|
|
|
|
|
|
## LLM Leaderboard
|
|
|
- [Chatbot Arena Leaderboard](https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboard) - a benchmark platform for large language models (LLMs) that features anonymous, randomized battles in a crowdsourced manner.
|
|
|
+- [LiveBench](https://livebench.ai/#/) - A Challenging, Contamination-Free LLM Benchmark.
|
|
|
- [Open LLM Leaderboard](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) - aims to track, rank, and evaluate LLMs and chatbots as they are released.
|
|
|
-- [ACLUE](https://github.com/isen-zhang/ACLUE) - an evaluation benchmark focused on ancient Chinese language comprehension.
|
|
|
- [AlpacaEval](https://tatsu-lab.github.io/alpaca_eval/) - An Automatic Evaluator for Instruction-following Language Models using Nous benchmark suite.
|
|
|
+- [ACLUE](https://github.com/isen-zhang/ACLUE) - an evaluation benchmark focused on ancient Chinese language comprehension.
|
|
|
- [BeHonest](https://gair-nlp.github.io/BeHonest/#leaderboard) - A pioneering benchmark specifically designed to assess honesty in LLMs comprehensively.
|
|
|
- [Berkeley Function-Calling Leaderboard](https://gorilla.cs.berkeley.edu/leaderboard.html) - evaluates LLM's ability to call external functions/tools.
|
|
|
- [Chinese Large Model Leaderboard](https://github.com/jeinlee1991/chinese-llm-benchmark) - an expert-driven benchmark for Chineses LLMs.
|
chengxin