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.gitattributes

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README.md

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+
+---
+license: apache-2.0
+datasets:
+- allenai/MADLAD-400
+language:
+- ky
+base_model:
+- allenai/OLMo-2-1124-13B-Instruct
+---
+# OLMo 2 1124 13B Instruct for Kyrgyz: AdaLoRA
+
+This model is built on top of OLMo 2 1124 13B Instruct adapted for Kyrgyz using 200M target language tokens sampled from MADLAD-400. The model is adapted using the AdaLoRA approach. This is based on https://arxiv.org/abs/2303.10512 and was the best-performing LoRA-based method in the HFT paper.
+
+## Model Description
+
+- **Language:** Kyrgyz
+- **License:** Apache 2.0
+- **Fine-tuned from model:** [allenai/OLMo-2-1124-13B-Instruct](https://huggingface.co/allenai/OLMo-2-1124-13B-Instruct)
+
+
+## Model Sources
+
+- **Repository:** https://github.com/gucci-j/ssu
+- **Paper:** https://arxiv.org/abs/2512.04844
+
+
+## How to Get Started with the Model
+Use the code below to get started with the model.
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+from peft import PeftModel
+
+base_model = AutoModelForCausalLM.from_pretrained(
+    "allenai/OLMo-2-1124-13B-Instruct",
+)
+model = PeftModel.from_pretrained(
+    base_model,
+    "atsuki-yamaguchi/OLMo-2-1124-13B-Instruct-ky-adalora",
+)
+model = model.merge_and_unload()
+tokenizer = AutoTokenizer.from_pretrained(
+    "allenai/OLMo-2-1124-13B-Instruct"
+)
+```
+
+
+## Citation
+```
+@misc{yamaguchi2025mitigatingcatastrophicforgettingtarget,
+    title={Mitigating Catastrophic Forgetting in Target Language Adaptation of LLMs via Source-Shielded Updates}, 
+    author={Atsuki Yamaguchi and Terufumi Morishita and Aline Villavicencio and Nikolaos Aletras},
+    year={2025},
+    eprint={2512.04844},
+    archivePrefix={arXiv},
+    primaryClass={cs.CL},
+    url={https://arxiv.org/abs/2512.04844}, 
+}
+```
+
+

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "allenai/OLMo-2-1124-13B-Instruct",
+  "beta1": 0.85,
+  "beta2": 0.85,
+  "bias": "none",
+  "corda_config": null,
+  "deltaT": 20,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "init_r": 12,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": [
+    "lm_head",
+    "embed_tokens",
+    "wte",
+    "word_embeddings",
+    "embeddings",
+    "token_embedding",
+    "output_projection"
+  ],
+  "orth_reg_weight": 0.5,
+  "peft_type": "ADALORA",
+  "r": 12,
+  "rank_pattern": null,
+  "revision": null,
+  "target_modules": [
+    "down_proj",
+    "v_proj",
+    "gate_proj",
+    "up_proj",
+    "o_proj",
+    "q_proj",
+    "k_proj"
+  ],
+  "target_r": 8,
+  "task_type": "CAUSAL_LM",
+  "tfinal": 8546,
+  "tinit": 1000,
+  "total_step": 12208,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:31050560aaab6c8fee4c8f8f9e058bf04f73d29d6218cfdaf361cf0445332078
+size 2243089280

chat_template.jinja

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+{{ bos_token }}{% for message in messages %}{% if message['role'] == 'system' %}{{ '<|system|>
+' + message['content'] + '
+' }}{% elif message['role'] == 'user' %}{{ '<|user|>
+' + message['content'] + '
+' }}{% elif message['role'] == 'assistant' %}{% if not loop.last %}{{ '<|assistant|>
+'  + message['content'] + eos_token + '
+' }}{% else %}{{ '<|assistant|>
+'  + message['content'] + eos_token }}{% endif %}{% endif %}{% if loop.last and add_generation_prompt %}{{ '<|assistant|>
+' }}{% endif %}{% endfor %}

special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|pad|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "100256": {
+      "content": "<|extra_id_0|>",
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+      "special": true
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+    "100258": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "100259": {
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+      "special": true
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+    "100260": {
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+      "normalized": false,
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+      "single_word": false,
+      "special": true
+    },
+    "100261": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "100262": {
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+    "100264": {
+      "content": "<|im_start|>",
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+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100265": {
+      "content": "<|im_end|>",
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+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "extra_special_tokens": {},
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<|pad|>",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}