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import pathlib
import subprocess
import tempfile
from typing import Generator
import gradio as gr
import huggingface_hub
import torch
import yaml
has_gpu = torch.cuda.is_available()
cli = "mergekit-yaml config.yaml merge --copy-tokenizer" + (
" --cuda --low-cpu-memory"
if has_gpu
else " --allow-crimes --out-shard-size 1B --lazy-unpickle"
)
print(cli)
## This Space is heavily inspired by LazyMergeKit by Maxime Labonne
## https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb
MARKDOWN_DESCRIPTION = """
# mergekit-gui
The fastest way to perform a model merge 🔥
Specify a YAML configuration file (see examples below) and a HF token and this app will perform the merge and upload the merged model to your user profile.
"""
MARKDOWN_ARTICLE = """
___
## Merge Configuration
[Mergekit](https://github.com/arcee-ai/mergekit) configurations are YAML documents specifying the operations to perform in order to produce your merged model.
Below are the primary elements of a configuration file:
- `merge_method`: Specifies the method to use for merging models. See [Merge Methods](https://github.com/arcee-ai/mergekit#merge-methods) for a list.
- `slices`: Defines slices of layers from different models to be used. This field is mutually exclusive with `models`.
- `models`: Defines entire models to be used for merging. This field is mutually exclusive with `slices`.
- `base_model`: Specifies the base model used in some merging methods.
- `parameters`: Holds various parameters such as weights and densities, which can also be specified at different levels of the configuration.
- `dtype`: Specifies the data type used for the merging operation.
- `tokenizer_source`: Determines how to construct a tokenizer for the merged model.
## Merge Methods
A quick overview of the currently supported merge methods:
| Method | `merge_method` value | Multi-Model | Uses base model |
| -------------------------------------------------------------------------------------------- | -------------------- | ----------- | --------------- |
| Linear ([Model Soups](https://arxiv.org/abs/2203.05482)) | `linear` | ✅ | ❌ |
| SLERP | `slerp` | ❌ | ✅ |
| [Task Arithmetic](https://arxiv.org/abs/2212.04089) | `task_arithmetic` | ✅ | ✅ |
| [TIES](https://arxiv.org/abs/2306.01708) | `ties` | ✅ | ✅ |
| [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) | `dare_ties` | ✅ | ✅ |
| [DARE](https://arxiv.org/abs/2311.03099) [Task Arithmetic](https://arxiv.org/abs/2212.04089) | `dare_linear` | ✅ | ✅ |
| Passthrough | `passthrough` | ❌ | ❌ |
| [Model Stock](https://arxiv.org/abs/2403.19522) | `model_stock` | ✅ | ✅ |
"""
examples = [[f.name, f.read_text()] for f in pathlib.Path("examples").glob("*.yml")]
def merge(
example_filename: str, yaml_config: str, hf_token: str, repo_name: str
) -> Generator[str, None, None]:
output = ""
if not yaml_config:
raise gr.Error("Empty yaml, pick an example below")
try:
_ = yaml.safe_load(yaml_config)
except:
raise gr.Error("Invalid yaml")
with tempfile.TemporaryDirectory() as tmpdirname:
tmpdir = pathlib.Path(tmpdirname)
output += f"About to start merging in directory {tmpdir}\n\n"
yield output
with open(tmpdir / "config.yaml", "w", encoding="utf-8") as f:
f.write(yaml_config)
output += cli + "\n\n"
yield output
cmd = cli.split()
popen = subprocess.Popen(
cmd,
cwd=tmpdir,
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT,
universal_newlines=True,
)
for stdout_line in iter(popen.stdout.readline, ""):
output += stdout_line
yield output
popen.stdout.close()
return_code = popen.wait()
if return_code:
raise gr.Error(f"subprocess error: {return_code}")
demo = gr.Interface(
description=MARKDOWN_DESCRIPTION,
article=MARKDOWN_ARTICLE,
fn=merge,
inputs=[
gr.Textbox(visible=False, label="filename"),
gr.Code(
language="yaml",
lines=10,
label="config.yaml",
),
gr.Textbox(
lines=1,
label="HF Write Token",
info="https://hf.co/settings/token",
type="password",
placeholder="optional, will not upload merge if empty (dry-run)",
),
gr.Textbox(
lines=1,
label="Repo name",
placeholder="optional, will create a random name if empty",
),
],
outputs=gr.Textbox(label="output", lines=12, show_copy_button=True),
allow_flagging="never",
submit_btn="Merge",
examples=examples,
).queue(default_concurrency_limit=1)
demo.launch()
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