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Jnx03
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Model Details
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Jnx03
Model Tree
Qwen/Qwen3-14B
Input Modalities
Output Modalities
Supported Functionality
json
{ "lr": 1e-06, "r": 4, "epochs": 0.3, "qlora": true, "thai_weight": 0.35, "corpus": "4267 base + 912 targeted Thai"}| Benchmark | Score | Target | Beat? |
|---|---|---|---|
| — | — | — | — |
python
from peft import PeftModelfrom transformers import AutoModelForCausalLM, AutoTokenizer base = "Qwen/Qwen3-14B"adapter = "Jnx03/kanitakorn-qwen3-14b-stage1-qwen3-v5-ultralight-20260522" tok = AutoTokenizer.from_pretrained(base, trust_remote_code=True)model = AutoModelForCausalLM.from_pretrained(base, torch_dtype="bfloat16", device_map="auto", trust_remote_code=True)model = PeftModel.from_pretrained(model, adapter)See VERSION_LOG.md for context on this checkpoint vs siblings.
License: MIT (inherited from Qwen/Qwen3-14B).
from peft import PeftModelfrom transformers import AutoModelForCausalLM, AutoTokenizer base = "Qwen/Qwen3-14B"adapter = "Jnx03/kanitakorn-qwen3-14b-stage1-qwen3-v5-ultralight-20260522" tok = AutoTokenizer.from_pretrained(base, trust_remote_code=True)model = AutoModelForCausalLM.from_pretrained(base, torch_dtype="bfloat16", device_map="auto", trust_remote_code=True)model = PeftModel.from_pretrained(model, adapter)