Added quotes to the pip install -e command to fix an incompatibility with shells that do glob expansion like zsh (#632)

Feat(doc): Add eval_sample_packing to doc (#625)

update README w deepspeed info (#605)

Feat(data): Allow loading local csv and text (#594)

Feat(doc): Add features to doc (#583)

support custom field for completion from yml (#580)

update support matrix with btlm and phi (#579)

refactor scripts/finetune.py into new cli modules (#550)

let hf trainer handle torch compile (#516)

Add training callback to send predictions to WandB table (#521)

document that packaging needs to be installed before flash-attn (#559)

ergonomic update to optimizer config doc (#548)

update readme to point to direct link to runpod template, cleanup install instrucitons (#532)

Adding NCCL Timeout Guide (#536)

Fix(doc): Inform Windows users to use WSL/docker (#518)

Added advanced DDP args (#515)

support for datasets with multiple names (#480)

Fix(doc): Clarify no amp to full yaml docs (#496)

pad_to_worst_case_seq_len boolean, for testing memory limits (#498)

Feat(doc): Update eval_steps doc (#487)

ReLoRA implementation (with quantization) (#322)

Fix(doc): Clarify config (#466)

feat: add Metharme prompt strategy (#446)

feat(docs): improve user customized prompts (#443)

feat(doc): add pillow to lambda instructions (#445)

support user defined prompters, pretokenized datasets in config, local parquet, local arrow files (#348)

docs(readme): add `cd axolotl` (#440)

use save_strategy from config if available (#434)

flash attn pip install (#426)

Fix(docs): Remove gptq+lora and fix xformer compat list (#423)

hopefully improve the README (#419)

Merge pull request #413 from mhenrichsen/chore/update-deepseed-config

Feat(doc): Add lr_quadratic_warmup to readme (#412)

update path to align with fsdp example

Fix(config): Update handling of deepspeed config (#404)

Fix(docs): Update flash attn requirements (#409)

update docs for tokenizer_legacy (#401)

add templates, CoC and contributing guide (#126)

Feat(doc): Add how to save by epochs (#396)

Feat(doc): Add max_steps to readme (#389)

Feat(config): Add hub_strategy (#386)

Feat(doc): Improve sharegpt doc (#378)

Attention mask and position id fixes for packing (#285)

Add wandb_entity to wandb options, update example configs, update README (#361)

Feat: Add rope scaling (#343)

Update README.md on pretraining_dataset (#360)

Clarify pre-tokenize before multigpu (#359)

note pattern when using groups

update comment for group_by_length

python 3.10 and 3.11 both work fine, as does pytorch 2.1.0.dev