Comments (3)
Hey @Donovoi I'm working on trying to use webgpu to host the model blocks (MLC-inspired) Wanna chat more on discord?
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It seems so far out of scope of the possibilities for webassembly. To run it needs gigabytes of python packages and 4GB or ram. If you make a docker image out of the health app it's 7GB, the chat app 9GB, let's start there.
from petals.
Sounds good! I'm looking at possibly compiling with nuitka/py2wasm looks like they might have unpublished it so it may be unfinished - https://github.com/pypi-data/pypi-mirror-262/tree/code/packages/py2wasm/py2wasm-2.2rc1.tar.gz/py2wasm-2.2rc1
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Related Issues (20)
- 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 HOT 1
- 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
- System_prompt HOT 1
- batch processing/parallel processing HOT 1
- Donating System Memory? HOT 1
- Petals doesn't deal with server failure properly HOT 4
- Unable to connect to Private Swarm HOT 1
- Meta Llama 3.1 HOT 2
- NotImplementedError: HOT 1
- Unable to see private swarm contributers on the Health Monitor
- Pascal family cards support.
- multiple gpu support?
- attention_mask = FalconModel._prepare_attn_mask(attention_mask, (batch_size, seq_length), past_length) AttributeError: type object 'FalconModel' has no attribute '_prepare_attn_mask'
- Error using the local llama3.1 model
- Question about overlapped serving blocks
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