additional fixes for docker and saving compressed
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@@ -33,9 +33,9 @@ RUN if [ "$NIGHTLY_BUILD" = "true" ] ; then \
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RUN pip install packaging==23.2 setuptools==75.8.0
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RUN if [ "$AXOLOTL_EXTRAS" != "" ] ; then \
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pip install --no-build-isolation -e .[deepspeed,flash-attn,ring-flash-attn,optimizers,ray,$AXOLOTL_EXTRAS] $AXOLOTL_ARGS; \
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pip install --no-build-isolation -e .[deepspeed,flash-attn,ring-flash-attn,optimizers,ray,llmcompressor,$AXOLOTL_EXTRAS] $AXOLOTL_ARGS; \
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else \
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pip install --no-build-isolation -e .[deepspeed,flash-attn,ring-flash-attn,optimizers,ray] $AXOLOTL_ARGS; \
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pip install --no-build-isolation -e .[deepspeed,flash-attn,ring-flash-attn,optimizers,ray,llmcompressor] $AXOLOTL_ARGS; \
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fi
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RUN python scripts/unsloth_install.py | sh
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@@ -20,9 +20,9 @@ WORKDIR /workspace/axolotl
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# If AXOLOTL_EXTRAS is set, append it in brackets
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RUN if [ "$AXOLOTL_EXTRAS" != "" ] ; then \
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pip install --no-build-isolation -e .[deepspeed,flash-attn,ring-flash-attn,optimizers,ray,$AXOLOTL_EXTRAS] $AXOLOTL_ARGS; \
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pip install --no-build-isolation -e .[deepspeed,flash-attn,ring-flash-attn,optimizers,ray,llmcompressor,$AXOLOTL_EXTRAS] $AXOLOTL_ARGS; \
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else \
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pip install --no-build-isolation -e .[deepspeed,flash-attn,ring-flash-attn,optimizers,ray] $AXOLOTL_ARGS; \
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pip install --no-build-isolation -e .[deepspeed,flash-attn,ring-flash-attn,optimizers,ray,llmcompressor] $AXOLOTL_ARGS; \
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fi
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RUN python scripts/unsloth_install.py | sh
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@@ -288,7 +288,19 @@ def save_trained_model(
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os.remove(os.path.join(cfg.output_dir, "model.safetensors"))
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except FileNotFoundError:
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pass
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elif hasattr(cfg, "llmcompressor") and cfg.llmcompressor:
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elif cfg.local_rank == 0:
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if cfg.flash_optimum and BetterTransformer:
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model = BetterTransformer.reverse(model)
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if cfg.rl and cfg.adapter and not cfg.rl_adapter_ref_model:
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trainer.model.save_pretrained(
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cfg.output_dir, safe_serialization=safe_serialization
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)
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model.save_pretrained(cfg.output_dir, safe_serialization=safe_serialization)
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if hasattr(cfg, "llmcompressor") and cfg.llmcompressor:
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# TODO: add integration support so this can be implemented completely within the plugin
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from axolotl.integrations.llm_compressor.utils import (
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save_compressed_model,
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)
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@@ -301,17 +313,6 @@ def save_trained_model(
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save_compressed=cfg.llmcompressor.save_compressed,
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)
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elif cfg.local_rank == 0:
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if cfg.flash_optimum and BetterTransformer:
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model = BetterTransformer.reverse(model)
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if cfg.rl and cfg.adapter and not cfg.rl_adapter_ref_model:
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trainer.model.save_pretrained(
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cfg.output_dir, safe_serialization=safe_serialization
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)
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model.save_pretrained(cfg.output_dir, safe_serialization=safe_serialization)
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def create_model_card(cfg: DictDefault, trainer: Trainer):
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"""
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