Instructions to use ryoji-info/Gemma-4-12B-PsiLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use ryoji-info/Gemma-4-12B-PsiLM with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Gemma-4-12B-PsiLM ryoji-info/Gemma-4-12B-PsiLM
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
MANIFEST — Hugging Face repo ryoji-info/Gemma-4-12B-PsiLM
Everything in this directory (release/gemma-4-12b-psilm/) is uploaded as-is to the
model repo; nothing outside it is needed. The backbone (mlx-community/gemma-4-12B-it-4bit)
is not uploaded — the script downloads it at first run.
Files to upload (and where each one came from)
| path in the HF repo | source in the GitHub checkout | size | sha256 |
|---|---|---|---|
README.md |
written for this release (the HF model card, YAML front matter) | 15 KB | — |
psilm_infer.py |
written for this release | 18 KB | — |
requirements.txt |
written for this release | 1 KB | — |
MANIFEST.md |
this file (harmless to upload; drop it if you prefer) | — | — |
psilm-banner.png |
assets/psilm-banner.png (1600 px wide) |
1.35 MB | 4cd65f32fe4aab5b49b66681a841b0128628e8d94c75494ae84f941b49c48089 |
bridges/gemma-4-12b-4bit-mlx-1d-value-selective/bridges.safetensors |
results/hf_export/bridges/gemma-4-12b-4bit-mlx-1d-value-selective/bridges.safetensors (= results/stage2_gemma12b/bridges.npz, step 7000, learned-pointer tensors dropped) |
102,068,660 B | f6ef8946c41b3cfa17df7c22bcab2c5cffbd856c2dd608970a364cc14d5e8f7d |
bridges/gemma-4-12b-4bit-mlx-1d-value-selective/config.json |
results/hf_export/bridges/gemma-4-12b-4bit-mlx-1d-value-selective/config.json |
1,287 B | 8a5add382beb65a0214f5e8b0b640e5d5df6f19e9a6caf1945400d2fe1e6bba5 |
physics/fno_burgers_singlemode.safetensors |
results/hf_export/physics/fno_burgers_singlemode.safetensors (= results/stage2/fno.pt; loaders verified identical, max weight and field difference 0.0) |
552,076 B | 7bb0076c85cdcf2505a9079c05964e3eb77ac4a776eccf34216953f3c37bfcdd |
The copies were made with cp on 2026-09-06 and the hashes match the sources
(shasum -a 256). Not uploaded: __pycache__/, .DS_Store.
To add later (the two runs in progress)
When the Gemma multi-mode and 2D runs finish, export them the same way and add:
| path in the HF repo | source |
|---|---|
bridges/gemma-4-12b-4bit-mlx-multimode/{bridges.safetensors,config.json} |
the stage-2b Gemma checkpoint (results/stage2b_gemma12b*/bridges.npz + a config.json in the format of the 1D one) |
physics/fno_burgers_multimode.safetensors |
results/hf_export/physics/fno_burgers_multimode.safetensors (loads with load_fno_safetensors, verified) |
bridges/gemma-4-12b-4bit-mlx-2d-dpot/{bridges.safetensors,config.json} |
the stage-2d Gemma checkpoint |
physics/dpot_tiny_fisher2d_finetuned.safetensors |
results/hf_export/physics/dpot_tiny_fisher2d_finetuned.safetensors |
and fill the two in progress rows of README.md ("Bridges in this repository") from their
final_eval.json; psilm_infer.py will need a --task switch for those (it is 1D-only today).
Upload (maintainer runs this)
From the GitHub checkout root, with HF_TOKEN set (or huggingface-cli login done):
cd /Users/rxiii/Documents/GitHub/PsiLM
HF_HUB_DISABLE_XET=1 .venv/bin/python - <<'EOF'
from huggingface_hub import HfApi
api = HfApi()
repo = "ryoji-info/Gemma-4-12B-PsiLM"
api.create_repo(repo, repo_type="model", private=True, exist_ok=True)
api.upload_folder(
folder_path="release/gemma-4-12b-psilm",
repo_id=repo,
repo_type="model",
commit_message="Gemma-4-12B-PsiLM: bridges, Burgers FNO, one-command CLI, model card",
ignore_patterns=["__pycache__/*", "*.pyc", ".DS_Store"],
)
print("UPLOAD DONE")
EOF
HF_HUB_DISABLE_XET=1 keeps the upload on the classic LFS path (the Xet backend has
stalled on this machine's earlier uploads). Make the repo public afterwards with
api.update_repo_settings(repo, private=False) or from the repo's settings page, together
with ryoji-info/PsiLM-bridges and ryoji-info/PsiLM-physics, which the card links to.
After upload: the one-command check
huggingface-cli download ryoji-info/Gemma-4-12B-PsiLM --local-dir /tmp/g4psilm && cd /tmp/g4psilm
python3 -m venv .venv && .venv/bin/pip install -r requirements.txt
.venv/bin/python psilm_infer.py
Note for the pip install line: the psilm @ git+... requirement needs the GitHub
pyproject.toml to use package discovery ([tool.setuptools.packages.find] include = ["psilm*"],
changed on 2026-09-06 in the working tree from packages = ["psilm"], which shipped only the
top-level package without psilm.mlx, psilm.stage2, psilm.physics). That change must be
pushed before the requirement installs a usable package; until then the script says so, and the
PSILM_REPO=/path/to/clone fallback works regardless.