Orkhon / bengu-gokturk
57M Old Turkic rune-to-Latin transliterator SFT. This is transliteration, not translation.
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:
bengu-gokturk - Kind:
instruct - Interface:
chat - Parameters: ~57.4M
- Source code: https://github.com/UmutKorkmaz/orkhon
- Local model-zoo folder:
models/bengu-gokturk-20260615
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 |
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 current |
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
Transliterate this Old Turkic (Orkhon) text into Latin: ๐ฐ๐ฐก๐ฐ๐ฐ
Usage
Install Orkhon from the source repo, then load this exported folder:
pip install git+https://github.com/UmutKorkmaz/orkhon
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-bengu-gokturk")
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 weightsconfig.json- Orkhon architecture configtokenizer.json,tokenizer_config.json,special_tokens_map.jsonmanifest.json- model-zoo metadata from the source reposamples.txt- saved local samples when availableorkhon_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.
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