tiny fix

README.md

@@ -46,7 +46,7 @@ Choose your path:
 - **Various models**: LLaMA, Mistral, Mixtral-MoE, Qwen, Yi, Gemma, Baichuan, ChatGLM, Phi, etc.
 - **Integrated methods**: (Continuous) pre-training, supervised fine-tuning, reward modeling, PPO, DPO and ORPO.
 - **Scalable resources**: 32-bit full-tuning, 16-bit freeze-tuning, 16-bit LoRA and 2/4/8-bit QLoRA via AQLM/AWQ/GPTQ/LLM.int8.
-- **Advanced algorithms**: GaLore, BAdam, DoRA, LongLoRA, LLaMA Pro, LoRA+, LoftQ and Agent tuning.
+- **Advanced algorithms**: GaLore, DoRA, LongLoRA, LLaMA Pro, LoRA+, LoftQ and Agent tuning.
 - **Practical tricks**: FlashAttention-2, Unsloth, RoPE scaling, NEFTune and rsLoRA.
 - **Experiment monitors**: LlamaBoard, TensorBoard, Wandb, MLflow, etc.
 - **Faster inference**: OpenAI-style API, Gradio UI and CLI with vLLM worker.
@@ -309,7 +309,7 @@ cd LLaMA-Factory
 pip install -e .[metrics]
 ```
 
-Extra dependencies available: deepspeed, metrics, unsloth, galore, vllm, bitsandbytes, gptq, awq, aqlm, qwen, modelscope, quality
+Extra dependencies available: deepspeed, metrics, unsloth, galore, badam, vllm, bitsandbytes, gptq, awq, aqlm, qwen, modelscope, quality
 
 <details><summary>For Windows users</summary>
 

README_zh.md

@@ -309,7 +309,7 @@ cd LLaMA-Factory
 pip install -e .[metrics]
 ```
 
-可选的额外依赖项：deepspeed、metrics、unsloth、galore、vllm、bitsandbytes、gptq、awq、aqlm、qwen、modelscope、quality
+可选的额外依赖项：deepspeed、metrics、unsloth、galore、badam、vllm、bitsandbytes、gptq、awq、aqlm、qwen、modelscope、quality
 
 <details><summary>Windows 用户指南</summary>
 

src/llmtuner/extras/misc.py

@@ -66,7 +66,6 @@ def check_dependencies() -> None:
         require_version("accelerate>=0.27.2", "To fix: pip install accelerate>=0.27.2")
         require_version("peft>=0.10.0", "To fix: pip install peft>=0.10.0")
         require_version("trl>=0.8.1", "To fix: pip install trl>=0.8.1")
-        require_version("gradio>=4.0.0", "To fix: pip install gradio>=4.0.0")
 
 
 def count_parameters(model: torch.nn.Module) -> Tuple[int, int]: