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korkmazumut/orkhon-istemi
orkhon-istemi is a text generation model from korkmazumut. Use it when you need the model to write or continue text. It is set up for orkhon. The card lists the license as apache-2.0.
51M FineWeb-Edu base model trained on real web text.
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From the Hugging Face model README
51M FineWeb-Edu base model trained on real web text.
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.
istemibasecompletionmodels/istemi-20260614| 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 current | 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.
bengu-gokturk: rune-to-Latin Old Turkic transliteration demos.| Metric | Value |
|---|---|
loss | 3.8395897448062897 |
ppl | 46.50639103706065 |
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.
The history of language models begins with
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-istemi")
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.
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 cardThis 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.