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main
peft_update
forward_backward
fix-docker
forward_kwargs
bump
test_main
fix-inference-retry
lora_from_hub
payload-size
partial_rollback
qkv_merge
no_qkv_merge
wip_triton
hivemind-dht-fork-process
repetition-penalty
amd-gpus
bnb-0-41-1
lru
beat-docker-into-submission
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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hivemind-1.1.4
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beamsearch
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examples_fix_hivemind
forward-backward-timeouts
fix-rebalancing-issues
add-sst2-example
enable-rebalancing
update_example_1
fix-too-many-open-files
update-hivemind
extract-module-container
instruction-readability-style
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justheuristic-patch-5
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ptune-example-personachat
rtfd
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deep_prompt_inference
warn-about-6b-instructions
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justheuristic-patch-2
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prompt-inference
fix-cache
optimize_seq
fix-seq-backward-recovery
fix-distr-seq-cls
justheuristic-patch-1
fix-convert-8bit
memory_savings
distributed-deep-ptune
ptune-wip
pytest-verbose
rename-test-model
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8bit-model
8bit_model_inference
petals-readme-title
support-backend-dtypes
deep-prompt-tuning
mockup
efficient-forward-backward
fix-branch-name
dbaranchuk-patch-1
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generation
fix-ci
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client
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petals/examples
History
Alexander Borzunov 5d7395e1b5
Prompt-tuning notebooks: suggest to use a smaller model for faster prototyping (#234) 		1 year ago
..
prompt-tuning-personachat.ipynb Prompt-tuning notebooks: suggest to use a smaller model for faster prototyping (#234) 1 year ago
prompt-tuning-sst2.ipynb Prompt-tuning notebooks: suggest to use a smaller model for faster prototyping (#234) 1 year ago