Comments (1)
Thanks for your interest in LMFlow! Currently we haven't integrated Ollama in LMFlow, but the trained output model is compatible with the general format of huggingface, so Ollama should be okay in that case. If the local model is not working, you may try pushing it to huggingface (https://huggingface.co/docs/transformers/model_sharing) and try again. Hope that helps 😄
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Related Issues (20)
- Question HOT 8
- [BUG] LISA Finetune: AttributeError: 'ChatGLMModel' object has no attribute 'h' HOT 3
- [BUG] LISA: same loss regardless of lisa_activated_layers HOT 17
- Question Regarding Optimizer States Management in Lisa Implementation HOT 5
- is support llava model ? HOT 3
- Multiple rounds of training HOT 1
- 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
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