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peft_update
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fix-docker
forward_kwargs
bump
test_main
fix-inference-retry
lora_from_hub
payload-size
partial_rollback
qkv_merge
no_qkv_merge
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hivemind-dht-fork-process
repetition-penalty
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lru
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measurements
debug-leak
fix-nf4-and-dtypes
declare_adapters
empty-weights
download_8bit_weights
no-cpufeature
versions
test_opt_serving
borzunov-patch-2
borzunov-patch-1
processing_attention
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server-increase-startup-timeout
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friendly-timeout-errors
hivemind-1.1.4
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server-timeouts
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beamsearch
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examples_fix_hivemind
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fix-rebalancing-issues
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enable-rebalancing
update_example_1
fix-too-many-open-files
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justheuristic-patch-1
fix-convert-8bit
memory_savings
distributed-deep-ptune
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generation
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3 Commits (793726b041d5d4b9622ef70e84fdf93ab6cbdc3d)

Author SHA1 Message Date
Max Ryabinin 793726b041
Speed up loading blocks using init with meta weights (#285) 
* Init WrappedBloomBlock with meta weights

---------

Co-authored-by: Alexander Borzunov <borzunov.alexander@gmail.com>
 1 year ago
justheuristic c2cb6d19ae
Increase tolerances in test_tp_block (#196) 
deflapify tests
 1 year ago
justheuristic ae9e71fe8e
Add local tensor-parallel fwd/bwd (#143) 
This pull request adds an option to run Petals server on multiple local GPUs. It uses https://github.com/BlackSamorez/tensor_parallel

- 8bit approximation error same as in main (mean~=2% q0.9~=5%)
    - TP=1, 2, 3 (see screenshots above)
- forward, grad w.r.t. input and inference exact match with main with TP=1
- `>=`80% GPU utilization with 3x 1080ti, batch = 8 tokens
- throughput measured with and without TP
- TP on 1080Tis has near-linear speedup comparable to the benchmarks (see first message)


Co-authored-by: Iaroslav Lisniak <yalisnyak@nes.ru>
Co-authored-by: Andrei Panferov <andrei@blacksamorez.ru>
Co-authored-by: Alexander Borzunov <borzunov.alexander@gmail.com>
 1 year ago