Comments (1)
ChatGLM are totally different from LLaMA models, so it is difficult to compatible with current framework (need to refactoring).
All LLaMA compatible models such as Vicuna can be work fine.
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Related Issues (20)
- how to evaluate this model
- How to predict via the command line or webui?
- How to fine tune on one model via different rank ? then output the model best rank?
- provide more dataset to test
- provide the script to prepare the fine tune dataset
- provide more model eval methods
- Log style not consistent
- issue about chatglt model
- Will Embeding change? HOT 4
- Known Issues
- How to use this frame work to train a LLM with multi-GPUs? HOT 7
- About Mix LoRA HOT 2
- Issues about integrated inference
- AttributeError: 'ChatGLMForConditionalGeneration' object has no attribute 'init_lora_weight'
- The MixLoRA (LoRA + MoE) and its related improvements are available at mikecovlee/mlora. HOT 1
- can support llava model ? HOT 1
- ImportError: cannot import name 'override' from 'typing' HOT 2
- plyvel._plyvel.IOError: b'IO error: lock /tmp/mlora/./db/LOCK: Resource temporarily unavailable'
- Support model inference with adapters
- Support automatic parameter configuration
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