Comments (3)
Thanks for your interest in LMFlow! LLaVA model has an architecture of ViT + Qformer + LLM, where LLM is normally freezed during training of LLaVA. If you would like a better LLM, you can use LMFlow with LISA to tune it in advance, upload the tuned model to huggingface, and then conduct the LLaVA training process.
Hope this information can be helpful 😄
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@research4pan can support llava for yi-34B model?
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Let us visit the engineering difficulty and we will get back to you once it is integrated 😄
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Related Issues (20)
- Running install.sh after git clone requires over 200GB Ram HOT 6
- [DPO is available?] HOT 2
- Unable to activate conda environment on Colab HOT 7
- Cannot open the address http://lmflow.org:5000 HOT 4
- "trust_remote_code=True" problem HOT 1
- Questions about task tuning in medical domain HOT 5
- Evaluation error on PubMedQA dataset HOT 3
- Question Regarding Optimizer Reinitialization in Lisa Implementation HOT 4
- About using multiple GPUs to do lisa fine-tuning HOT 4
- How to set learning rate decay in lisa fine-tuning HOT 2
- [New Feature] Could someone share the finetuned diffusion model which is good at 256x256 resolution?
- Memory problem of Lisa finetuning HOT 5
- Does it support llama3? HOT 5
- Causal LM finetuning HOT 3
- ValueError: mutable default <class 'lmflow.utils.conversation_formatter.StringFormatter'> for field user_formatter is not allowed: use default_factory HOT 8
- Hello , Can LMFlow support Qwen1.5-1.8B model Fine-tuning? HOT 3
- LMFlow not support NVIDIA driver 11070? HOT 2
- Hello,Where is the script run_finetune_with_lora_save_aggregated_weights.sh?Why I can't find it in LMFlow/scripts ? HOT 2
- Out Of Memory Issue LISA HOT 4
- Weird Loss with LISA HOT 1
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