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: kultigin
Kind: instruct
Interface: chat
Parameters: ~21.9M
Source code: https://github.com/UmutKorkmaz/orkhon
Local model-zoo folder: models/kultigin-20260614

Family Context

Member	Role	HF repo
`bumin`	4M arithmetic/chat smoke model proving the full Orkhon pipeline.	korkmazumut/orkhon-bumin
`tonyukuk`	22M TinyStories base model trained from scratch with Orkhon.	korkmazumut/orkhon-tonyukuk
`kultigin` current	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

No headline evaluation JSON is recorded for this member yet.

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

Write a short story about a brave child and a lost kite.

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-kultigin")
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.