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ShFishman/nanochat-hebrew-d20
nanochat-hebrew-d20 is a machine learning model from ShFishman. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This repo hosts multiple versions of a Hebrew nanochat model. Each version is self-contained: its base/ (and sft/ where present) weights are paired with the matching tokenizer/ in the same subfolder. Tokenizers are no…
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Updated May 14, 2026
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From the Hugging Face model README
This repo hosts multiple versions of a Hebrew nanochat model. Each version is
self-contained: its base/ (and sft/ where present) weights are paired with
the matching tokenizer/ in the same subfolder. Tokenizers are not
interchangeable across versions.
v1-mixed-75he-25en/First Hebrew nanochat. Pretrained on a 75% Hebrew / 25% English mixture of OSCAR-23.01 (he), Hebrew Wikipedia, CC-100 (he), Knesset corpus, and FineWeb-Edu English. Tokenizer includes English. No SFT, no nikkud stripping.
v2-fw2-hebrew-only/Pure Hebrew nanochat. Pretrained on HuggingFaceFW/fineweb-2 config
heb_Hebr only, with nikkud (U+0591-U+05C7) stripped before tokenization.
Tokenizer is Hebrew-only. Followed by SFT on HeQ, ParaShoot, Dolly-HE,
OpenHermes-2.5-Hebrew, plus hand-templated identity conversations.
Each version uses nanochat's native format. Point nanochat.checkpoint_manager. load_model_from_dir at the version subfolder after downloading:
from huggingface_hub import snapshot_download
from nanochat.checkpoint_manager import load_model_from_dir
local = snapshot_download("ShFishman/nanochat-hebrew-d20",
allow_patterns=["v2-fw2-hebrew-only/*"])
# point tokenizer loader at v2's tokenizer dir before calling load_model_from_dir