metadata
language:
- ku
- kmr
base_model:
- Qwen/Qwen2.5-7B-Instruct
- muzaffercky/Sorjin1-7B
tags:
- kurdish
- kurmanji
- instruct
- merge
- mergekit
- qwen2.5
license: apache-2.0
datasets:
- muzaffercky/kurdish-kurmanji-theses
Sorjîn1-7B-Instruct
Sorjîn1-7B-Instruct is a Kurdish Kurmanji instruction-following model produced by merging Sorjîn1-7B with Qwen/Qwen2.5-7B-Instruct using mergekit.
It combines Kurdish language knowledge from continual pretraining with the instruction-following capability of Qwen2.5-7B-Instruct.
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained(
"muzaffercky/Sorjin1-7B-Instruct",
torch_dtype="bfloat16",
device_map="auto",
)
tokenizer = AutoTokenizer.from_pretrained("muzaffercky/Sorjin1-7B-Instruct")
messages = [{"role": "user", "content": "Tu çawa yî?"}]
text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
inputs = tokenizer(text, return_tensors="pt").to(model.device)
output = model.generate(**inputs, max_new_tokens=256)
print(tokenizer.decode(output[0], skip_special_tokens=True))
Merge Details
- Method: TIES merge
- Models: Sorjîn1-7B (Kurdish base) + Qwen/Qwen2.5-7B-Instruct
- Interpolation factor: 0.5 (equal weight)
- Density: 0.7
- Tool: mergekit
Limitations
- Kurdish language coverage is limited to formal academic style — trained on university theses
- May mix languages (Kurdish/English/Turkish) on topics not covered in training data
- Not aligned with RLHF — use with appropriate safety considerations
Model Family
| Model | Description |
|---|---|
| Sorjîn1-LoRA | Raw LoRA adapter weights |
| Sorjîn1-7B | Continually pretrained base model |
| Sorjîn1-7B-Instruct (this model) | Merged with Qwen2.5-7B-Instruct |