clarify artifact rights and fix repository identifier

README.md

@@ -18,6 +18,16 @@ pipeline_tag: text-generation
 
 Teaching archive for the Slayer GPT-style Polish language-model experiment.
 
+> **Rights and provenance status:** this repository is published for inspection
+> and reproducibility review. The exact training-corpus provenance and the
+> resulting permission scope for the checkpoint have not yet been documented to
+> release-gate standard. `license: other` does **not** grant a blanket licence to
+> the model weights, tokenizer or training material. Do not redistribute,
+> fine-tune or use the checkpoint commercially unless a licence for the relevant
+> artifact is stated expressly in this repository or you have obtained separate
+> permission. Source-code files remain subject only to any licence notice stated
+> for those files. Contact: k.wikiel@gmail.com.
+
 This repo is meant to help people replicate the workflow, not just store artifacts. It includes a runnable local GPT checkpoint, the custom tokenizer it was trained with, a later tokenizer variant, the Slayer H100 training scripts, run logs, and replication docs.
 
 This is a raw PyTorch/custom-code checkpoint, not a Transformers-native `AutoModelForCausalLM` repository.
@@ -47,8 +57,8 @@ Option 1: clone the model repo and run the bundled sampler:
 
 ```bash
 git lfs install
-git clone https://huggingface.co/SlayerLab/slayer-gpt-tokenizer-model
-cd slayer-gpt-tokenizer-model
+git clone https://huggingface.co/SlayerLab/slayer-scratch
+cd slayer-scratch
 python3 -m venv .venv
 source .venv/bin/activate
 pip install -r requirements.txt
@@ -71,7 +81,7 @@ import torch
 from huggingface_hub import hf_hub_download
 from tokenizers import Tokenizer
 
-repo_id = "SlayerLab/slayer-gpt-tokenizer-model"
+repo_id = "SlayerLab/slayer-scratch"
 
 model_py = hf_hub_download(repo_id, "scripts/model.py")
 ckpt_path = hf_hub_download(repo_id, "model/ckpt.pt")