Dynamic quants (#1379)
* typing * Update cross_entropy_loss.py * Update cross_entropy_loss.py * Update cross_entropy_loss.py * Update cross_entropy_loss.py * Update cross_entropy_loss.py * Update cross_entropy_loss.py * Update cross_entropy_loss.py * Update cross_entropy_loss.py * Update cross_entropy_loss.py * int64 * Update _utils.py * Update cross_entropy_loss.py * constexpr * constexpr * Update cross_entropy_loss.py * Update cross_entropy_loss.py * Update _utils.py * Update _utils.py * Update _utils.py * CE * Update cross_entropy_loss.py * Update _utils.py * Update llama.py * Update _utils.py * Update rms_layernorm.py * Update rms_layernorm.py * Update rms_layernorm.py * Update rms_layernorm.py * Update rms_layernorm.py * Update rms_layernorm.py * Update utils.py * Update rms_layernorm.py * Update rms_layernorm.py * Update rms_layernorm.py * Update rms_layernorm.py * Update rms_layernorm.py * Update rms_layernorm.py * Update rms_layernorm.py * Update rms_layernorm.py * Update rms_layernorm.py * Update rms_layernorm.py * Update rms_layernorm.py * Update rms_layernorm.py * typing * Update rope_embedding.py * types * Disable compiling * Update _utils.py * Update _utils.py * Forward hook * Update _utils.py * Update llama.py * Update _utils.py * Update llama.py * Update llama.py * Update _utils.py * Update pyproject.toml * Update _utils.py * Update llama.py * CE Loss * Update cross_entropy_loss.py * Update _utils.py * Update cross_entropy_loss.py * Update cross_entropy_loss.py * Update cross_entropy_loss.py * Update llama.py * Update _utils.py * Update _utils.py * Update _utils.py * Update _utils.py * Update _utils.py * Fix: cast logits to float32 in cross_entropy_forward to prevent errors (#1254) * Fix: cast logits to float32 in cross_entropy_forward to prevent errors * Update cross_entropy_loss.py --------- Co-authored-by: Daniel Han <danielhanchen@gmail.com> * Throw error when inferencing longer than max_popsition_embeddings (#1236) * Throw error when inferencing longer than max_popsition_embeddings without rope scaling * Update llama.py --------- Co-authored-by: Daniel Han <danielhanchen@gmail.com> * CLI now handles user input strings for dtype correctly (#1235) Co-authored-by: root <root@ieeres.chu.cam.ac.uk> * Update flex_attention.py * Update _utils.py * Update _utils.py * Update flex_attention.py * Update flex_attention.py * Update loader.py * Update loader.py * Update flex_attention.py * Update flex_attention.py * Update flex_attention.py * Update flex_attention.py * Update _utils.py * Update cross_entropy_loss.py * Update _utils.py * Update tokenizer_utils.py * Update tokenizer_utils.py * Update tokenizer_utils.py * Update tokenizer_utils.py * Update tokenizer_utils.py * triton_cast * Update utils.py * Qwen 2.5 Coder * Fix/export mistral (#1281) * Enhance install_python_non_blocking to handle protobuf installation and process management * Revert "Enhance install_python_non_blocking to handle protobuf installation and process management" This reverts commit a3b796a05841fb8d93c652c845591e12cf81ea93. * Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION to 'python' to address issue #1266 * Revert "Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION to 'python' to address issue #1266" This reverts commit f00fbf5eac7ad4f5d48c70b98d770255d1a9ef58. * Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION to 'python' to address issue #1266 * Update __init__.py --------- Co-authored-by: Daniel Han <danielhanchen@gmail.com> * DOC Update - Update README.md with os.environ in example (#1269) * Update README.md with os.environ in example Added OS Environ in example to avoid device conflicts , for a user at least in jupyter notebook this allows to select GPU in a multi GPU setup. As currently the unsloth init checks all GPU's and takes the first in the order which can be a issue when some GPU's are in use and the list still shows them. So to manually avoid this, this os config is required. Small change but a bit time saver for those who straight away copies the tutorials * Update README.md --------- Co-authored-by: Daniel Han <danielhanchen@gmail.com> * fix/get_chat_template (#1246) * Refactor `get_chat_template` to now support system message instead. It supposed to fix ollama tokenizer chattemplate to * Remove type hinting * Update chat_templates.py --------- Co-authored-by: Daniel Han <danielhanchen@gmail.com> * fix/sft-trainer (#1276) * Add patch for SFTTrainer to maintain backward compatibility with TRL changes * Update trainer.py * Update trainer.py * Refactor trainer patch to maintain backward compatibility with TRL changes * Update trainer.py * Refactor trainer.py to exclude non-convertible trainers from backward compatibility patch --------- Co-authored-by: Daniel Han <danielhanchen@gmail.com> * Update __init__.py * Update trainer.py * Update trainer.py * Update trainer.py * Update tokenizer_utils.py * Update llama.py * Fix #853 * fix/sfttrainer-compatibility (#1293) * Refactor trainer.py to import SFTConfig directly and update UnslothTrainingArguments class inheritance * Update trainer.py * Update trainer.py --------- Co-authored-by: Daniel Han <danielhanchen@gmail.com> * Update rms_layernorm.py * Update rms_layernorm.py * Gemma * Update rms_layernorm.py * Update gemma2.py * Cut Cross Entropy * Update llama.py * Cut Cross Entropy * Update llama.py * Update llama.py * Update llama.py * Update __init__.py * Update __init__.py * Update _utils.py * Update _utils.py * Update _utils.py * Update _utils.py * Update _utils.py * Update _utils.py * Update _utils.py * Update _utils.py * Update mapper.py * Update _utils.py * Update _utils.py * Update _utils.py * Update _utils.py * Update _utils.py * Update _utils.py * Update _utils.py * Update _utils.py * Update _utils.py * patch_fast_lora * vision * Update fast_lora.py * Update _utils.py * Update _utils.py * Vision * Update trainer.py * Update save.py * FastBaseVisionModel * Update loader_utils.py * Update vision.py * Update loader.py * Update vision.py * Update loader.py * Update vision.py * Update _utils.py * tokenizer_name * Update loader.py * Update vision.py * Update save.py * Update save.py * Update vision.py * Update vision.py * Update vision.py * Update vision.py * Update vision.py * Update vision.py * Update _utils.py * Update loader.py * kwargs * logits * Update llama.py * Update llama.py * Update llama.py * Update _utils.py * Update _utils.py * Update _utils.py * error * Update _utils.py * Update _utils.py * Update _utils.py * Update _utils.py * Update _utils.py * Update _utils.py * Update _utils.py * Update _utils.py * Update _utils.py * Update _utils.py * Update _utils.py * Update _utils.py * Update _utils.py * Update _utils.py * Update _utils.py * Update loader.py * Update llama.py * Update vision.py * Update loader.py * Old torch versions * Update loader.py * Update loader.py * prints * recheck * Update loader.py * Update loader.py * Update _utils.py * Update _utils.py * Update mapper.py * Feat/kto (#1316) * Add PatchKTOTrainer and update model imports * Update dpo.py * Update __init__.py * Delete unsloth/models/kto.py --------- Co-authored-by: Daniel Han <danielhanchen@gmail.com> * Fix orpo/dpo trainer (#1286) * change the colab notebook for dpo zephyr and orpo * use original tokenizer * Update README.md * Update README.md --------- Co-authored-by: Daniel Han <danielhanchen@gmail.com> * skip modules * Update vision.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Fix llama.cpp * Update save.py * Update save.py * Update vision.py * Update save.py * Update save.py * Update save.py * Update save.py * Update save.py * Update save.py * Update save.py * Update _utils.py * Update save.py * Update save.py * Update mapper.py * modules --------- Co-authored-by: Edd <68678137+Erland366@users.noreply.github.com> Co-authored-by: Datta Nimmaturi <datta.nimmaturi@nutanix.com> Co-authored-by: Edwin Fennell <edwinfennell1@gmail.com> Co-authored-by: root <root@ieeres.chu.cam.ac.uk> Co-authored-by: Uday Girish Maradana <einsteingirish@gmail.com> Co-authored-by: cell-dame <122996026+dame-cell@users.noreply.github.com>
This commit is contained in:
Daniel Han
GitHub
parent
e7edb9b339
commit
35ca26c898
3 changed files with 34 additions and 10 deletions
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@ -12,7 +12,7 @@
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# See the License for the specific language governing permissions and
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# limitations under the License.
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__version__ = "2024.12.1"
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__version__ = "2024.12.2"
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__all__ = [
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"prepare_model_for_kbit_training",
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@ -452,33 +452,45 @@ __INT_TO_FLOAT_MAPPER = \
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"unsloth/Llama-3.1-Nemotron-70B-Instruct",
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"nvidia/Llama-3.1-Nemotron-70B-Instruct-HF",
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),
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"unsloth/Qwen2-VL-2B-Instruct-bnb-4bit" : (
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"unsloth/Qwen2-VL-2B-Instruct-unsloth-bnb-4bit" : (
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"unsloth/Qwen2-VL-2B-Instruct",
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"Qwen/Qwen2-VL-2B-Instruct",
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"unsloth/Qwen2-VL-2B-Instruct-bnb-4bit",
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),
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"unsloth/Qwen2-VL-7B-Instruct-bnb-4bit" : (
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"unsloth/Qwen2-VL-7B-Instruct-unsloth-bnb-4bit" : (
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"unsloth/Qwen2-VL-7B-Instruct",
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"Qwen/Qwen2-VL-7B-Instruct",
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"unsloth/Qwen2-VL-7B-Instruct-bnb-4bit",
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),
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"unsloth/Llama-3.2-11B-Vision-Instruct-bnb-4bit" : (
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"unsloth/Qwen2-VL-72B-Instruct-unsloth-bnb-4bit" : (
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"unsloth/Qwen2-VL-72B-Instruct",
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"Qwen/Qwen2-VL-72B-Instruct",
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"unsloth/Qwen2-VL-72B-Instruct-bnb-4bit",
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),
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"unsloth/Llama-3.2-11B-Vision-Instruct-unsloth-bnb-4bit" : (
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"unsloth/Llama-3.2-11B-Vision-Instruct",
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"meta-llama/Llama-3.2-11B-Vision-Instruct",
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"unsloth/Llama-3.2-11B-Vision-Instruct-bnb-4bit",
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),
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"unsloth/Llama-3.2-90B-Vision-Instruct-bnb-4bit" : (
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"unsloth/Llama-3.2-90B-Vision-Instruct-unsloth-bnb-4bit" : (
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"unsloth/Llama-3.2-90B-Vision-Instruct",
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"meta-llama/Llama-3.2-90B-Vision-Instruct",
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"unsloth/Llama-3.2-90B-Vision-Instruct-bnb-4bit",
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),
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"unsloth/Llama-3.2-11B-Vision-bnb-4bit" : (
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"unsloth/Llama-3.2-11B-Vision-unsloth-bnb-4bit" : (
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"unsloth/Llama-3.2-11B-Vision",
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"meta-llama/Llama-3.2-11B-Vision",
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"unsloth/Llama-3.2-11B-Vision-bnb-4bit",
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),
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"unsloth/Llama-3.2-90B-Vision-bnb-4bit" : (
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"unsloth/Llama-3.2-90B-Vision-unsloth-bnb-4bit" : (
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"unsloth/Llama-3.2-90B-Vision",
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"meta-llama/Llama-3.2-90B-Vision",
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"unsloth/Llama-3.2-90B-Vision-bnb-4bit",
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),
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"unsloth/Pixtral-12B-2409-bnb-4bit" : (
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"unsloth/Pixtral-12B-2409-unsloth-bnb-4bit" : (
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"unsloth/Pixtral-12B-2409",
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"mistralai/Pixtral-12B-2409",
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"unsloth/Pixtral-12B-2409-bnb-4bit",
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),
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"unsloth/Pixtral-12B-2409-Base-bnb-4bit" : (
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"unsloth/Pixtral-12B-Base-2409",
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@ -500,6 +512,10 @@ __INT_TO_FLOAT_MAPPER = \
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"unsloth/Llama-3.1-Tulu-3-70B",
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"allenai/Llama-3.1-Tulu-3-70B",
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),
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"unsloth/QwQ-32B-Preview-bnb-4bit" : (
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"unsloth/QwQ-32B-Preview",
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"Qwen/QwQ-32B-Preview",
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),
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}
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INT_TO_FLOAT_MAPPER = {}
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@ -519,6 +535,14 @@ for key, values in __INT_TO_FLOAT_MAPPER.items():
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MAP_TO_UNSLOTH_16bit[values[1]] = values[0]
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MAP_TO_UNSLOTH_16bit[values[1].lower()] = values[0]
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pass
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elif len(values) == 3:
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# Dynamic Unsloth quantization
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if values[0].startswith("unsloth"):
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MAP_TO_UNSLOTH_16bit[values[1]] = values[0]
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MAP_TO_UNSLOTH_16bit[values[1].lower()] = values[0]
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MAP_TO_UNSLOTH_16bit[values[2]] = values[0]
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MAP_TO_UNSLOTH_16bit[values[2].lower()] = values[0]
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pass
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pass
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# Get lowercased
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@ -30,7 +30,7 @@ from transformers import set_seed as transformers_set_seed
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from unsloth_zoo.peft_utils import (
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get_peft_regex,
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merge_and_overwrite_lora,
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# SKIP_QUANTIZATION_MODULES,
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SKIP_QUANTIZATION_MODULES,
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)
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from triton import __version__ as triton_version
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@ -133,7 +133,7 @@ class FastBaseVisionModel:
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bnb_4bit_use_double_quant = True,
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bnb_4bit_quant_type = "nf4",
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bnb_4bit_compute_dtype = dtype,
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# llm_int8_skip_modules = SKIP_QUANTIZATION_MODULES,
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llm_int8_skip_modules = SKIP_QUANTIZATION_MODULES,
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)
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pass
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