Related Issues (20)
- Will the resulting model size increase much after merging HOT 4
- Can models with different parameter sizes be merged together? Example: 7b with 70b HOT 1
- suport for QWEN1.5 Architecture HOT 1
- compute requirements on large model merges HOT 2
- Non HuggingFace Models HOT 1
- I have a few questions. In each prompt in that model, is only 1 of the expert models activated? Also can the expert models be in different parameter sizes? Is it necessary to specify in which prompts the specific expert will activate?
- Merging PEFT model to base model
- moe-mixtral error: "AttributeError: 'JsonArchitectureInfo' object has no attribute 'pre_weight_names'. Did you mean: 'pre_weights'?" HOT 1
- Using mergekit-moe command: ValueError: The current `device_map` had weights offloaded to the disk. Please provide an `offload_folder` for them. HOT 2
- Support for Merge methods which require some input data? HOT 1
- About mergekit behavior by tokenizer HOT 7
- Adding an expert to a pre-trained Mixtral model HOT 1
- Mergekit support for GPT2 failing HOT 2
- Merging different architectures HOT 3
- RuntimeError: "addmm_impl_cpu_" not implemented for 'Half' HOT 1
- Update to accelerate==0.27.2
- Gemma support isnt working on latest verison HOT 1
- Can we add support for Whisper HOT 2
- Merges Gemma models are not loading in llamacpp-python or LM studio with Gemma support HOT 3
- Installs NVIDIA depencies on AMD GPU system wasting disk space HOT 1
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from mergekit.