You can deploy this model and start earning money today!

korkmazumut/
orkhon-tonyukuk

Name: orkhon-tonyukuk
Availability: InStock

Views

No views yet

Orkhon / tonyukuk

22M TinyStories base model trained from scratch with Orkhon.

This repository is one member of the Orkhon model family, an auditable from-scratch LLM stack covering tokenizer, pretraining, post-training, evaluation, serving, and Hugging Face export.

Family: Orkhon
Member: tonyukuk
Kind: base
Interface: completion
Parameters: ~21.9M
Source code: https://github.com/UmutKorkmaz/orkhon
Local model-zoo folder: models/tonyukuk-20260614

Family Context

Member	Role	HF repo
`bumin`	4M arithmetic/chat smoke model proving the full Orkhon pipeline.	korkmazumut/orkhon-bumin
`tonyukuk` current	22M TinyStories base model trained from scratch with Orkhon.	korkmazumut/orkhon-tonyukuk
`kultigin`	22M story-instruction SFT member of the Orkhon family.	korkmazumut/orkhon-kultigin
`istemi`	51M FineWeb-Edu base model trained on real web text.	korkmazumut/orkhon-istemi
`bengu`	57M English/Turkish bilingual base model in the Turkic branch.	korkmazumut/orkhon-bengu
`bengu-gokturk`	57M Old Turkic rune-to-Latin transliterator SFT. This is transliteration, not translation.	korkmazumut/orkhon-bengu-gokturk

kashgari is intentionally not part of this first upload batch because the local model-zoo entry stores metadata and a re-import hint, not archived weights.

Intended Use

Inspecting and reproducing the Orkhon training/export path.
Running small local demos on CPU/MPS/CUDA.
Comparing Orkhon family members by training stage and data mix.
For bengu-gokturk: rune-to-Latin Old Turkic transliteration demos.

Not Intended For

Reliable factual QA.
Safety-critical decisions.
Claims of state-of-the-art Turkish or general LLM performance.
Treating Old Turkic transliteration as modern Turkish translation.

Evaluation

Metric	Value
`loss`	1.5622079223394394
`ppl`	4.769339960854941
`tokens`	163840

Current benchmark reports in the source repo are smoke baselines unless marked otherwise. Do not treat limit-20 benchmark runs as headline capability claims.

Example Prompt

Once upon a time, a little girl found a magic paintbrush.

Usage

Install Orkhon from the source repo, then load this exported folder:

pip install git+https://github.com/UmutKorkmaz/orkhon

python

from huggingface_hub import snapshot_download
from orkhon.export.to_hf import load_exported_model
from orkhon.tokenizer import load_tokenizer

path = snapshot_download("korkmazumut/orkhon-tonyukuk")
model, cfg = load_exported_model(path, device="cpu")
tok = load_tokenizer(path)

For chat/instruct members, use orkhon.serve.chat_cli.reply. For base members, use raw completion with orkhon.model.generate.

Files

model.safetensors - exported inference weights
config.json - Orkhon architecture config
tokenizer.json, tokenizer_config.json, special_tokens_map.json
manifest.json - model-zoo metadata from the source repo
samples.txt - saved local samples when available
orkhon_model_card.md - original local model card

Limitations

This is a small research/education model family. The models can repeat, confabulate, and fail outside their narrow data scale. Public demos should keep the claim narrow: Orkhon is an auditable from-scratch stack with a Turkic branch, not a frontier assistant.