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mkd-hossain/Keural-Cortex-8B-step5000
Keural-Cortex-8B-step5000 is a text generation model from mkd-hossain. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
This is a mid-training checkpoint, not a finished model. It is published for internal inspection and reproducibility, not for use.
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From the Hugging Face model README
This is a mid-training checkpoint, not a finished model. It is published for internal inspection and reproducibility, not for use.
Continued pretraining (CPT) of Qwen/Qwen3-8B-Base
on a Korean-focused corpus, by MKD Co., Ltd.
| Training progress | step 5,000 / 13,034 (~38%) |
| Tokens seen | ~15.7B of 41B planned |
| Stage | Phase 4 (main CPT) — in progress |
| Context length | 32,768 (native, unchanged from base) |
It is a base model. Qwen3-8B-Base has no instruction following, no chat
format, no tool calling and no thinking mode, and CPT does not add any of them —
those are built in post-training, which has not been done yet.
In practice it continues text rather than answering instructions. It will ramble,
drift off topic, or repeat. A chat_template.jinja is present because it is
inherited from the base tokenizer; it does not mean the model is chat-tuned.
No evaluation has been run on this checkpoint. The numbers below are from the
3B-token pilot (a separate, earlier run) against Qwen3-8B-Base, and are
included only to show the recipe was validated before the main run:
| Track | Mean delta vs base |
|---|---|
| Korean (KMMLU, HaeRae, KoBEST) | +0.55 pt |
| English (MMLU, ARC, HellaSwag, WinoGrande) | +0.62 pt |
Caveat worth stating plainly: in that pilot, KMMLU (+0.03) and HaeRae (+0.09) were essentially flat, and the Korean average was carried by KoBEST BoolQ (+5.91) while two KoBEST tasks regressed. The Korean gain magnitude for the full run is not yet established.
Benchmark decontamination (n-gram overlap against MMLU, GSM8K, KMMLU, HaeRae, KoBEST and others) has not yet been completed. No benchmark number from this project should be treated as publishable until it has.
Apache 2.0, inherited from Qwen/Qwen3-8B-Base. This is a derivative work of
Qwen3-8B-Base by Alibaba Cloud.
Internal research and checkpoint inspection only. Not for production, not for public-facing deployment, and not a basis for capability claims.