Comments (7)
justheuristic
commented on May 24, 2024
3
[working on it]
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AIAnytime
commented on May 24, 2024
Same error... this doesn't work anymore. Creators are also not active.
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daspartho
commented on May 24, 2024
+1
running into the same error while trying to generate by calling model.generate() method in the getting started colab notebook.
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daspartho
commented on May 24, 2024
found relevant issue huggingface/transformers#10160
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daspartho
commented on May 24, 2024
this seems to be an issue with the petals library itself instead of the transformers library since replacing AutoDistributedModelForCausalLM with AutoModelForCausalLM seems to work fine
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jaskirat8
commented on May 24, 2024
@daspartho, I have the same thoughts as I have been using the same models for months directly, and it works. I just wanted to validate that it is not something due to my misconfiguration or overlooking some setting; we need to isolate the culprit and work towards PR since other folks are also facing this.
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daspartho
commented on May 24, 2024
yes i agree!
also gently pinging @borzunov here
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Related Issues (20)
- Prepull model data on private swarm HOT 5
- ImportError: cannot import name 'AutoDistributedModelForCausalLM' from partially initialized module 'petals' (most likely due to a circular import) HOT 3
- Add "Podman" usage to the documentation
- Is there any plan to support MoE models like Mixtral8×7B? HOT 5
- Error when trying to launch private swarm using locally stored model
- Can not use direct server-to-server communication HOT 6
- Reachability Issue for private swarm HOT 1
- Feature Request: Distributed inference API where the "miners" are paid. HOT 1
- content of 'labels' when doing prompt tuning of llama-2 on QA
- Reachability issue while connecting to private swarm HOT 1
- Grok | Mixture-of-Experts | Model Support HOT 3
- Latest bump "Bump transformers and accelerate versions (#554)" looks to destroy Falcon support. HOT 5
- compile to webassembly HOT 3
- Is there a way to shard a model without downloading it first? HOT 2
- Error trying to raise Mixtral private swarm server HOT 13
- DynamicCache and Beam Search
- Manual management of shards
- RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0! (when checking argument for argument tensors in method wrapper_CUDA_cat) HOT 2
- Error with PyTorch 2.3.0: Missing '_refresh_per_optimizer_state' in 'torch.cuda.amp.grad_scaler'
- LLama-3-70B support HOT 3
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