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[model] add qwen2 omni 3b (#7945)
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README.md
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README.md
@ -18,26 +18,26 @@
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[](https://modelscope.cn/studios/hiyouga/LLaMA-Board)
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[](https://aws.amazon.com/cn/blogs/china/a-one-stop-code-free-model-fine-tuning-deployment-platform-based-on-sagemaker-and-llama-factory/)
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<hr>
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<div align="center" markdown="1">
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### Supporters ❤️
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<br>
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<a href="https://warp.dev/llama-factory">
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<img alt="Warp sponsorship" width="400" src="https://github.com/user-attachments/assets/ab8dd143-b0fd-4904-bdc5-dd7ecac94eae">
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</a>
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### [Warp, the agentic terminal for developers](https://warp.dev/llama-factory)
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[Available for MacOS, Linux, & Windows](https://warp.dev/llama-factory)<br>
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<a href="https://warp.dev/llama-factory">
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<img alt="Warp sponsorship" width="400" src="https://github.com/user-attachments/assets/ab8dd143-b0fd-4904-bdc5-dd7ecac94eae">
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</a>
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#### [Warp, the agentic terminal for developers](https://warp.dev/llama-factory)
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[Available for MacOS, Linux, & Windows](https://warp.dev/llama-factory)
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</div>
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<hr>
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----
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<h3 align="center">
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Easily fine-tune 100+ large language models with zero-code <a href="#quickstart">CLI</a> and <a href="#fine-tuning-with-llama-board-gui-powered-by-gradio">Web UI</a>
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</h3>
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<p align="center">
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<picture>
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<img alt="Github trend" src="https://trendshift.io/api/badge/repositories/4535">
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@ -298,7 +298,7 @@ Compared to ChatGLM's [P-Tuning](https://github.com/THUDM/ChatGLM2-6B/tree/main/
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| [Qwen (1-2.5) (Code/Math/MoE/QwQ)](https://huggingface.co/Qwen) | 0.5B/1.5B/3B/7B/14B/32B/72B/110B | qwen |
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| [Qwen3 (MoE)](https://huggingface.co/Qwen) | 0.6B/1.7B/4B/8B/14B/32B/235B | qwen3 |
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| [Qwen2-Audio](https://huggingface.co/Qwen) | 7B | qwen2_audio |
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| [Qwen2.5-Omni](https://huggingface.co/Qwen)\*\* | 7B | qwen2_omni |
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| [Qwen2.5-Omni](https://huggingface.co/Qwen)\*\* | 3B/7B | qwen2_omni |
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| [Qwen2-VL/Qwen2.5-VL/QVQ](https://huggingface.co/Qwen) | 2B/3B/7B/32B/72B | qwen2_vl |
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| [Skywork o1](https://huggingface.co/Skywork) | 8B | skywork_o1 |
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| [StarCoder 2](https://huggingface.co/bigcode) | 3B/7B/15B | - |
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@ -21,6 +21,7 @@
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<h3 align="center">
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使用零代码<a href="#快速开始">命令行</a>与 <a href="#llama-board-可视化微调由-gradio-驱动">Web UI</a> 轻松微调百余种大模型
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</h3>
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<p align="center">
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<picture>
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<img alt="Github trend" src="https://trendshift.io/api/badge/repositories/4535">
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@ -284,7 +285,7 @@ https://github.com/user-attachments/assets/43b700c6-a178-41db-b1f8-8190a5d3fcfc
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| [Qwen (1-2.5) (Code/Math/MoE/QwQ)](https://huggingface.co/Qwen) | 0.5B/1.5B/3B/7B/14B/32B/72B/110B | qwen |
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| [Qwen3 (MoE)](https://huggingface.co/Qwen) | 0.6B/1.7B/4B/8B/14B/32B/235B | qwen3 |
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| [Qwen2-Audio](https://huggingface.co/Qwen) | 7B | qwen2_audio |
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| [Qwen2.5-Omni](https://huggingface.co/Qwen)\*\* | 7B | qwen2_omni |
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| [Qwen2.5-Omni](https://huggingface.co/Qwen)\*\* | 3B/7B | qwen2_omni |
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| [Qwen2-VL/Qwen2.5-VL/QVQ](https://huggingface.co/Qwen) | 2B/3B/7B/32B/72B | qwen2_vl |
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| [Skywork o1](https://huggingface.co/Skywork) | 8B | skywork_o1 |
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| [StarCoder 2](https://huggingface.co/bigcode) | 3B/7B/15B | - |
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@ -103,8 +103,7 @@ class HuggingfaceEngine(BaseEngine):
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messages = template.mm_plugin.process_messages(
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messages, mm_input_dict["images"], mm_input_dict["videos"], mm_input_dict["audios"], processor
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)
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# add thought words to avoid skipping thinking
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paired_messages = messages + [{"role": "assistant", "content": template.add_thought("")}]
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paired_messages = messages + [{"role": "assistant", "content": ""}]
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system = system or generating_args["default_system"]
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enable_thinking = input_kwargs.pop("enable_thinking", None)
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enable_thinking = enable_thinking if enable_thinking is not None else generating_args["enable_thinking"]
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@ -146,8 +146,7 @@ class SGLangEngine(BaseEngine):
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messages = self.template.mm_plugin.process_messages(
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messages, images or [], videos or [], audios or [], self.processor
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)
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# add thought words to avoid skipping thinking
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paired_messages = messages + [{"role": "assistant", "content": self.template.add_thought("")}]
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paired_messages = messages + [{"role": "assistant", "content": ""}]
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system = system or self.generating_args["default_system"]
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enable_thinking = input_kwargs.pop("enable_thinking", None)
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enable_thinking = enable_thinking if enable_thinking is not None else self.generating_args["enable_thinking"]
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@ -123,8 +123,7 @@ class VllmEngine(BaseEngine):
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messages = self.template.mm_plugin.process_messages(
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messages, images or [], videos or [], audios or [], self.processor
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)
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# add thought words to avoid skipping thinking
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paired_messages = messages + [{"role": "assistant", "content": self.template.add_thought("")}]
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paired_messages = messages + [{"role": "assistant", "content": ""}]
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system = system or self.generating_args["default_system"]
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enable_thinking = input_kwargs.pop("enable_thinking", None)
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enable_thinking = enable_thinking if enable_thinking is not None else self.generating_args["enable_thinking"]
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@ -60,7 +60,7 @@ class Template:
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messages: list[dict[str, str]],
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system: Optional[str] = None,
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tools: Optional[str] = None,
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enable_thinking: bool = True,
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enable_thinking: bool = False,
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) -> tuple[list[int], list[int]]:
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r"""Return a single pair of token ids representing prompt and response respectively."""
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encoded_messages = self._encode(tokenizer, messages, system, tools)
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@ -406,7 +406,7 @@ class ReasoningTemplate(Template):
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messages: list[dict[str, str]],
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system: Optional[str] = None,
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tools: Optional[str] = None,
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enable_thinking: bool = True,
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enable_thinking: bool = False,
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) -> tuple[list[int], list[int]]:
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messages = deepcopy(messages)
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for i in range(len(messages)):
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@ -418,7 +418,7 @@ class ReasoningTemplate(Template):
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for encoded_ids in encoded_messages[:-1]:
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prompt_ids += encoded_ids
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if not enable_thinking or (
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if not enable_thinking and (
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messages[-1]["role"] == Role.ASSISTANT
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and self.thought_words[0] not in messages[-1]["content"]
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and self.thought_words[1] not in messages[-1]["content"]
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@ -2479,6 +2479,14 @@ register_model_group(
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DownloadSource.DEFAULT: "Qwen/Qwen3-235B-A22B",
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DownloadSource.MODELSCOPE: "Qwen/Qwen3-235B-A22B",
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},
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"Qwen3-14B-Instruct-AWQ": {
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DownloadSource.DEFAULT: "Qwen/Qwen3-14B-AWQ",
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DownloadSource.MODELSCOPE: "Qwen/Qwen3-14B-AWQ",
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},
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"Qwen3-32B-Instruct-AWQ": {
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DownloadSource.DEFAULT: "Qwen/Qwen3-32B-AWQ",
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DownloadSource.MODELSCOPE: "Qwen/Qwen3-32B-AWQ",
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},
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},
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template="qwen3",
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)
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@ -2502,10 +2510,14 @@ register_model_group(
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register_model_group(
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models={
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"Qwen2.5-Omni-3B": {
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DownloadSource.DEFAULT: "Qwen/Qwen2.5-Omni-3B",
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DownloadSource.MODELSCOPE: "Qwen/Qwen2.5-Omni-3B",
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},
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"Qwen2.5-Omni-7B": {
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DownloadSource.DEFAULT: "Qwen/Qwen2.5-Omni-7B",
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DownloadSource.MODELSCOPE: "Qwen/Qwen2.5-Omni-7B",
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}
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},
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},
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template="qwen2_omni",
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multimodal=True,
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