GGUF saving (#2017)

* Update rl_replacements.py

* Update rl.py

* Update rl.py

* Update rl.py

* Update rl.py

* fix an import error (#1767)

* fix an import error

* Delete .gitignore

* Update loader.py

* Update save.py

---------

Co-authored-by: Daniel Han <danielhanchen@gmail.com>

* SamplingParams

* Convert mask to float (#1762)

* [Windows Support] Add latest `xformers` wheels to pyproject.toml (#1753)

* Add latest xformers

* Add a couple of lines to docs

* vLLMSamplingParams

* Update __init__.py

* default num_chunks == -1

* Versioning

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update _utils.py

* Update rl_replacements.py

* Update rl_replacements.py

* Update pyproject.toml

* Update pyproject.toml

* Export Model to ollama.com  (#1648)

* Ollama Export Model to ollama.com

Signed-off-by: Jyotin Goel <b22ai063@iitj.ac.in>

* Check for model_name

Signed-off-by: Jyotin Goel <b22ai063@iitj.ac.in>

* subprocess use instead of requests | added check for ollama server

Signed-off-by: Jyotin Goel <b22ai063@iitj.ac.in>

* create_ollama_model

Signed-off-by: Jyotin Goel <b22ai063@iitj.ac.in>

* create_ollama_model | fix

Signed-off-by: Jyotin Goel <b22ai063@iitj.ac.in>

* Push to Ollama

Signed-off-by: Jyotin Goel <b22ai063@iitj.ac.in>

---------

Signed-off-by: Jyotin Goel <b22ai063@iitj.ac.in>

* Update cross_entropy_loss.py

* torch_cuda_device

* Update utils.py

* Update utils.py

* Update utils.py

* device

* device

* Update loader.py

* Update llama.py

* Update README.md

* Update llama.py

* Update llama.py

* Update _utils.py

* Update utils.py

* Update utils.py

* Update utils.py

* Update utils.py

* Update utils.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update utils.py

* Update utils.py

* Update utils.py

* Update utils.py

* __version__

* Update rl.py

* Bug fixes

* Bug fixes

* Update llama.py

* Update _utils.py

* _wrap_fast_inference

* 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

* Update _utils.py

* SFT dataset prepare

* Update pyproject.toml

* Update rl_replacements.py

* Update rl_replacements.py

* Update rl_replacements.py

* Update rl.py

* Update llama.py

* Update llama.py

* Update utils.py

* bug fix

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update __init__.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update rl.py

* Update rl.py

* Update rl.py

* Update _utils.py

* Update __init__.py

* Update _utils.py

* Version

* versioning

* Update _utils.py

* Update llama.py

* Update llama.py

* Bug fixes

* FastModel

* __doc__

* Update vision.py

* Update loader.py

* Update loader.py

* Update loader.py

* version

* move use_modelscope to _utils (#1938)

* move use_modelscope to _utils

* Update _utils.py

* Update loader.py

---------

Co-authored-by: Daniel Han <danielhanchen@gmail.com>

* Don't use revision when loading model_config and is_peft=True (#1949)

* More syntax warnings (#1944)

* move use_modelscope to _utils

* fix

* Update _utils.py

* Update loader.py

---------

Co-authored-by: Daniel Han <danielhanchen@gmail.com>

* Update loader.py

* Full finetuning and other fixes

* UNSLOTH_ENABLE_FULL_FINETUNING

* Update loader.py

* Update loader.py

* Update loader.py

* Update vision.py

* Update vision.py

* full finetuning

* Update loader.py

* Update loader.py

* Update loader.py

* Update _utils.py

* max_seq_length

* Update rl.py

* Update rl.py

* Update rl.py

* Update pyproject.toml

* AutoModelForImageTextToText

* Update mapper.py

* Update pyproject.toml

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Batch samples

* Update loader.py

* Update loader.py

* Update loader.py

* Update loader.py

* Update _utils.py

* Update loader.py

* Update vision.py

* Update loader.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update mapper.py

* Update vision.py

* Temporary patches

* Update loader.py

* model names

* Gemma 3 chat template

* Bug fixes

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update llama.py

* Update llama.py

* Update rl.py

* Update chat_templates.py

* Update chat_templates.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update loader.py

* Update vision.py

* Update vision.py

* Revert

* Update _utils.py

* forced precision

* Autocast

* Update vision.py

* Update vision.py

* Update rl.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update rl.py

* vLLM fixes

* constexpr

* Update vision.py

* Update vision.py

* Update vision.py

* Update rl.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 _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update save.py

* New models

* Triton windows update (#1976)

* Update pyproject.toml

* Update README.md

* Update RMS LayerNorm implementation, and list compr. change in chat templates (#1974)

* Update RMS LayerNorm implementation with optimizations and testing suite

* perf: optimize list comprehension in get_ollama_eos_tokens

* Update Zoo

* Update llama.py

* Update llama.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update rl_replacements.py

* Update vision.py

* grpo fix

* Update rl_replacements.py

* Update vision.py

* Update rl_replacements.py

* Update vision.py

* Update mapper.py

* Update vision.py

* Update vision.py

* Update loader.py

* Update vision.py

* Update save.py

* Update save.py

* Update save.py

---------

Signed-off-by: Jyotin Goel <b22ai063@iitj.ac.in>
Co-authored-by: Nino Risteski <95188570+NinoRisteski@users.noreply.github.com>
Co-authored-by: Edd <68678137+Erland366@users.noreply.github.com>
Co-authored-by: Ben <6579034+versipellis@users.noreply.github.com>
Co-authored-by: Jyotin Goel <120490013+gjyotin305@users.noreply.github.com>
Co-authored-by: Kareem <81531392+KareemMusleh@users.noreply.github.com>
Co-authored-by: Wilson Wu <140025193+wiwu2390@users.noreply.github.com>
Co-authored-by: Akshay Behl <126911424+Captain-T2004@users.noreply.github.com>
This commit is contained in:
Daniel Han 2025-03-14 07:58:57 -07:00 committed by GitHub
commit b8aaf550a7
2 changed files with 53 additions and 5 deletions

View file

@ -485,7 +485,7 @@ class FastBaseModel:
full_finetuning = os.environ.get("UNSLOTH_ENABLE_FULL_FINETUNING", "0") == "1"
float32_mixed_precision = True
if _get_dtype(model.config.torch_dtype) == torch.bfloat16:
if _get_dtype(model.config.torch_dtype) == torch.bfloat16 and full_finetuning:
# Use bfloat16 precision for full finetuning
float32_mixed_precision = False

View file

@ -2218,12 +2218,60 @@ pass
from .models.loader_utils import get_model_name
from unsloth_zoo.saving_utils import merge_and_overwrite_lora
from unsloth_zoo.saving_utils import (
merge_and_overwrite_lora,
prepare_saving,
)
from unsloth_zoo.llama_cpp import (
install_llama_cpp,
convert_to_gguf,
convert_to_gguf as _convert_to_gguf,
)
@torch.inference_mode
def save_to_gguf_generic(
model,
save_directory,
quantization_type = "Q8_0",
repo_id = None,
token = None,
):
if token is None and repo_id is not None: token = get_token()
if repo_id is not None and token is None:
raise RuntimeError("Unsloth: Please specify a token for uploading!")
if not os.path.exists(os.path.join("llama.cpp", "unsloth_convert_hf_to_gguf.py")):
install_llama_cpp(just_clone_repo = True)
pass
metadata = _convert_to_gguf(
save_directory,
print_output = True,
quantization_type = quantization_type,
)
if repo_id is not None:
prepare_saving(
model,
repo_id,
push_to_hub = True,
max_shard_size = "50GB",
private = True,
token = token,
)
from huggingface_hub import HfApi
api = HfApi(token = token)
api.upload_folder(
folder_path = save_directory,
repo_id = repo_id,
repo_type = "model",
allow_patterns = ["*.gguf"],
private = True,
)
pass
return metadata
pass
@torch.inference_mode
def unsloth_generic_save(
model,
@ -2467,8 +2515,8 @@ def patch_saving_functions(model, vision = False):
# Vision only 1 option
model.push_to_hub_merged = types.MethodType(unsloth_generic_push_to_hub_merged, model)
model.save_pretrained_merged = types.MethodType(unsloth_generic_save_pretrained_merged, model)
model.push_to_hub_gguf = types.MethodType(not_implemented_save, model)
model.save_pretrained_gguf = types.MethodType(not_implemented_save, model)
model.push_to_hub_gguf = types.MethodType(save_to_gguf_generic, model)
model.save_pretrained_gguf = types.MethodType(save_to_gguf_generic, model)
pass
return model
pass