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[model] support gemma3 (#7273)
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README.md
13
README.md
@@ -84,10 +84,10 @@ Choose your path:
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### Day-N Support for Fine-Tuning Cutting-Edge Models
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| Support Date | Model Name |
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| ------------ | ---------------------------------------------------------- |
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| Day 0 | Qwen2.5 / Qwen2-VL / QwQ / QvQ / InternLM3 / MiniCPM-o-2.6 |
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| Day 1 | Llama 3 / GLM-4 / Mistral Small / PaliGemma2 |
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| Support Date | Model Name |
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| ------------ | ------------------------------------------------------------ |
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| Day 0 | Qwen2.5 / Qwen2.5-VL / Gemma 3 / InternLM 3 / MiniCPM-o-2.6 |
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| Day 1 | Llama 3 / GLM-4 / Mistral Small / PaliGemma2 |
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## Benchmark
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@@ -106,6 +106,8 @@ Compared to ChatGLM's [P-Tuning](https://github.com/THUDM/ChatGLM2-6B/tree/main/
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## Changelog
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[25/03/12] We supported fine-tuning the **[Gemma-3](https://huggingface.co/blog/gemma3)** model.
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[25/02/24] Announcing **[EasyR1](https://github.com/hiyouga/EasyR1)**, an efficient, scalable and multi-modality RL training framework for efficient GRPO training.
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[25/02/11] We supported saving the **[Ollama](https://github.com/ollama/ollama)** modelfile when exporting the model checkpoints. See [examples](examples/README.md) for usage.
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@@ -120,7 +122,7 @@ Compared to ChatGLM's [P-Tuning](https://github.com/THUDM/ChatGLM2-6B/tree/main/
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[25/01/14] We supported fine-tuning the **[MiniCPM-o-2.6](https://huggingface.co/openbmb/MiniCPM-o-2_6)** and **[MiniCPM-V-2.6](https://huggingface.co/openbmb/MiniCPM-V-2_6)** models. Thank [@BUAADreamer](https://github.com/BUAADreamer)'s PR.
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[25/01/14] We supported fine-tuning the **[InternLM3](https://huggingface.co/collections/internlm/)** models. Thank [@hhaAndroid](https://github.com/hhaAndroid)'s PR.
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[25/01/14] We supported fine-tuning the **[InternLM 3](https://huggingface.co/collections/internlm/)** models. Thank [@hhaAndroid](https://github.com/hhaAndroid)'s PR.
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[25/01/10] We supported fine-tuning the **[Phi-4](https://huggingface.co/microsoft/phi-4)** model.
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@@ -229,6 +231,7 @@ Compared to ChatGLM's [P-Tuning](https://github.com/THUDM/ChatGLM2-6B/tree/main/
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| [DeepSeek R1 (Distill)](https://huggingface.co/deepseek-ai) | 1.5B/7B/8B/14B/32B/70B/671B | deepseek3 |
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| [Falcon](https://huggingface.co/tiiuae) | 7B/11B/40B/180B | falcon |
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| [Gemma/Gemma 2/CodeGemma](https://huggingface.co/google) | 2B/7B/9B/27B | gemma |
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| [Gemma 3](https://huggingface.co/google) | 1B/4B/12B/27B | gemma3 |
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| [GLM-4](https://huggingface.co/THUDM) | 9B | glm4 |
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| [GPT-2](https://huggingface.co/openai-community) | 0.1B/0.4B/0.8B/1.5B | - |
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| [Granite 3.0-3.1](https://huggingface.co/ibm-granite) | 1B/2B/3B/8B | granite3 |
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