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Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a...

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# What does this PR do? Fixes # (issue) ## Feature/Issue validation/testing Please describe the tests that you ran to verify your changes and relevant result summary. Provide instructions so...

cla signed

Fix: LangChai->LangChain # What does this PR do? Fixes # (issue) ## Feature/Issue validation/testing Please describe the tests that you ran to verify your changes and relevant result summary. Provide...

cla signed

There seems to be ample prompt resources for niche applications(interview helper, essay writing) but there seems to be almost nothing for general-purpose agents with multpiple tools, states and specific output...

enhancement

### System Info ml.g5.12xlarge instance from AWS, with pyTorch 2.3.1, 4x A10G, CUDA 12.1 Modified dataset since I already pre-tokenized everything to avoid using time on GPU instances to reduce...

# What does this PR do? I added the capability to fine-tune an LLM using RAFT, a technique designed to create a dataset that helps the model better distinguish important...

cla signed

### 🚀 The feature, motivation and pitch Some datasets may be too large to fit into memory directly, would be nice to provide the option to create an iterable dataset...

enhancement

# What does this PR do? Adding Torchtune recipe for fine-tuning so that the users can now use torchtune to fine-tune Llama models ## Feature/Issue validation/testing - [x] Followed this...

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I encountered a problem when fine-tuning the model. I believe the issue lies in the cache mechanism of the class Attention(nn.Module). During the previous forward pass, the cache for k...

triaged

# What does this PR do? Fixes # (issue) ## Feature/Issue validation/testing Please describe the tests that you ran to verify your changes and relevant result summary. Provide instructions so...

cla signed