Text Generation
Transformers
Safetensors
Korean
llama
korean
lora
model-merging
task-arithmetic
answer-first
conversational
text-generation-inference
Instructions to use youngseok12/AX-3.1-Light-specialist-r1-ties with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use youngseok12/AX-3.1-Light-specialist-r1-ties with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="youngseok12/AX-3.1-Light-specialist-r1-ties") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("youngseok12/AX-3.1-Light-specialist-r1-ties") model = AutoModelForCausalLM.from_pretrained("youngseok12/AX-3.1-Light-specialist-r1-ties", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use youngseok12/AX-3.1-Light-specialist-r1-ties with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "youngseok12/AX-3.1-Light-specialist-r1-ties" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "youngseok12/AX-3.1-Light-specialist-r1-ties", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/youngseok12/AX-3.1-Light-specialist-r1-ties
- SGLang
How to use youngseok12/AX-3.1-Light-specialist-r1-ties with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "youngseok12/AX-3.1-Light-specialist-r1-ties" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "youngseok12/AX-3.1-Light-specialist-r1-ties", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "youngseok12/AX-3.1-Light-specialist-r1-ties" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "youngseok12/AX-3.1-Light-specialist-r1-ties", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use youngseok12/AX-3.1-Light-specialist-r1-ties with Docker Model Runner:
docker model run hf.co/youngseok12/AX-3.1-Light-specialist-r1-ties
File size: 4,194 Bytes
0bee9dd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 | {
"recipe": "ties",
"combination_type": "ties",
"weights": [
1.0,
1.0,
1.0
],
"extra": {
"density": 0.5
},
"merged_at_utc": "2026-09-02T16:28:04Z",
"base_model": "/home/youngseok3/.cache/huggingface/hub/models--skt--A.X-3.1-Light/snapshots/9b41bb2406472634d8812c0b8931fa40fa9a6c3a",
"adapters": {
"K": "/home/youngseok3/KDS/runs/specialist_r1_ax31_20260902/K_lora/adapter",
"R": "/home/youngseok3/KDS/runs/specialist_r1_ax31_20260902/R_lora/adapter",
"C": "/home/youngseok3/KDS/runs/specialist_r1_ax31_20260902/C_lora/adapter"
},
"out_dir": "/home/youngseok3/KDS/runs/specialist_r1_ax31_20260902/merged/ties",
"shards": 8,
"size_gib": 13.53,
"nan_check": "pass",
"smoke_empty_outputs": 0,
"smoke_samples": [
{
"benchmark": "click",
"gold": "C",
"generated": "A. 1999년"
},
{
"benchmark": "click",
"gold": "A",
"generated": "A. 79달러"
},
{
"benchmark": "click",
"gold": "C",
"generated": "C. 1997년"
},
{
"benchmark": "click",
"gold": "D",
"generated": "D. 서울"
},
{
"benchmark": "click",
"gold": "C",
"generated": "C. 중화학 공업"
},
{
"benchmark": "click",
"gold": "B",
"generated": "B. 제조업과 서비스업"
},
{
"benchmark": "kmmlu_pro",
"gold": "D",
"generated": "A. 민사에 관한 헌법재판소의 결정은 민법의 법원이 될 수 있다."
},
{
"benchmark": "kmmlu_pro",
"gold": "D",
"generated": "E. 토지거래허가구역 내의 토지에 관해 허가를 받지 않고 매매계약을 체결한 자가 허가가 없음을 이유로 그 계약의 무효를 주장하는 것은 특별한 사정이 없는 한 신의칙에 반하지 않는다."
},
{
"benchmark": "kmmlu_pro",
"gold": "E",
"generated": "D. ㄱ, ㄴ"
},
{
"benchmark": "kmmlu_pro",
"gold": "A",
"generated": "E. 가정법원은 정신적 제약으로 특정한 사무에 관해 후원이 필요한 사람에 대해서는 본인의 의사에 반하더라도 특정후견 심판을 할 수 있다."
},
{
"benchmark": "kmmlu_pro",
"gold": "C",
"generated": "E. ㄱ, ㄴ, ㄷ"
},
{
"benchmark": "kmmlu_pro",
"gold": "C",
"generated": "C. A의 정관에 甲이 금전소비대차계약을 체결할 수 없다는 규정이 있었지만 이를 등기하지 않은 경우, 乙이 이 사실에 대해 알았다면 A는 그 정관 규정으로 乙에게 대항할 수 있다."
},
{
"benchmark": "com2_main",
"gold": null,
"generated": "A. Encourage regular group discussions about sobriety and setting limits on alcohol consumption.\nB. Promote mental health support and stress management workshops for actors involved in high-pressure projects.\nC. Organize recreational activities that"
},
{
"benchmark": "com2_main",
"gold": "B",
"generated": "B. She will use the interest earned to invest in a project."
},
{
"benchmark": "com2_main",
"gold": "C",
"generated": "D. Gain confidence in speaking"
},
{
"benchmark": "com2_main",
"gold": "C",
"generated": "C. The documents are damaged beyond repair."
},
{
"benchmark": "com2_main",
"gold": "C",
"generated": "C. She would experience a sudden health crisis."
},
{
"benchmark": "com2_main",
"gold": "C",
"generated": "D. Seedlings grow"
},
{
"benchmark": "snu_ko_musr",
"gold": "A",
"generated": "A. 현민"
},
{
"benchmark": "snu_ko_musr",
"gold": "B",
"generated": "B. 재성"
},
{
"benchmark": "snu_ko_musr",
"gold": "B",
"generated": "B. 도연"
},
{
"benchmark": "snu_ko_musr",
"gold": "A",
"generated": "A. 윤희"
},
{
"benchmark": "snu_ko_musr",
"gold": "B",
"generated": "B. 재균"
},
{
"benchmark": "snu_ko_musr",
"gold": "A",
"generated": "B. 재균"
}
]
}
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