Text Generation
Transformers
Safetensors
qwen2
llama-factory
full
Generated from Trainer
conversational
text-generation-inference
Instructions to use pkuAI4M/QwenLeanSFT14B_0330 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pkuAI4M/QwenLeanSFT14B_0330 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="pkuAI4M/QwenLeanSFT14B_0330") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("pkuAI4M/QwenLeanSFT14B_0330") model = AutoModelForCausalLM.from_pretrained("pkuAI4M/QwenLeanSFT14B_0330") 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 pkuAI4M/QwenLeanSFT14B_0330 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "pkuAI4M/QwenLeanSFT14B_0330" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "pkuAI4M/QwenLeanSFT14B_0330", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/pkuAI4M/QwenLeanSFT14B_0330
- SGLang
How to use pkuAI4M/QwenLeanSFT14B_0330 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 "pkuAI4M/QwenLeanSFT14B_0330" \ --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": "pkuAI4M/QwenLeanSFT14B_0330", "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 "pkuAI4M/QwenLeanSFT14B_0330" \ --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": "pkuAI4M/QwenLeanSFT14B_0330", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use pkuAI4M/QwenLeanSFT14B_0330 with Docker Model Runner:
docker model run hf.co/pkuAI4M/QwenLeanSFT14B_0330
| {"current_steps": 10, "total_steps": 1946, "loss": 0.7119, "learning_rate": 3.0612244897959185e-06, "epoch": 0.010277492291880781, "percentage": 0.51, "elapsed_time": "0:02:45", "remaining_time": "8:53:58"} | |
| {"current_steps": 20, "total_steps": 1946, "loss": 0.6333, "learning_rate": 6.122448979591837e-06, "epoch": 0.020554984583761562, "percentage": 1.03, "elapsed_time": "0:05:29", "remaining_time": "8:49:33"} | |
| {"current_steps": 30, "total_steps": 1946, "loss": 0.609, "learning_rate": 9.183673469387756e-06, "epoch": 0.030832476875642344, "percentage": 1.54, "elapsed_time": "0:08:17", "remaining_time": "8:49:03"} | |
| {"current_steps": 40, "total_steps": 1946, "loss": 0.5998, "learning_rate": 1.2244897959183674e-05, "epoch": 0.041109969167523124, "percentage": 2.06, "elapsed_time": "0:10:58", "remaining_time": "8:42:58"} | |
| {"current_steps": 50, "total_steps": 1946, "loss": 0.5692, "learning_rate": 1.530612244897959e-05, "epoch": 0.051387461459403906, "percentage": 2.57, "elapsed_time": "0:13:42", "remaining_time": "8:39:49"} | |
| {"current_steps": 60, "total_steps": 1946, "loss": 0.5833, "learning_rate": 1.836734693877551e-05, "epoch": 0.06166495375128469, "percentage": 3.08, "elapsed_time": "0:16:33", "remaining_time": "8:40:24"} | |
| {"current_steps": 70, "total_steps": 1946, "loss": 0.5632, "learning_rate": 2.1428571428571428e-05, "epoch": 0.07194244604316546, "percentage": 3.6, "elapsed_time": "0:19:14", "remaining_time": "8:35:50"} | |
| {"current_steps": 80, "total_steps": 1946, "loss": 0.5804, "learning_rate": 2.448979591836735e-05, "epoch": 0.08221993833504625, "percentage": 4.11, "elapsed_time": "0:21:59", "remaining_time": "8:32:53"} | |
| {"current_steps": 90, "total_steps": 1946, "loss": 0.5805, "learning_rate": 2.7551020408163265e-05, "epoch": 0.09249743062692703, "percentage": 4.62, "elapsed_time": "0:24:51", "remaining_time": "8:32:32"} | |
| {"current_steps": 100, "total_steps": 1946, "loss": 0.5904, "learning_rate": 2.9999219710414462e-05, "epoch": 0.10277492291880781, "percentage": 5.14, "elapsed_time": "0:27:35", "remaining_time": "8:29:14"} | |
| {"current_steps": 110, "total_steps": 1946, "loss": 0.5891, "learning_rate": 2.9971918097900504e-05, "epoch": 0.1130524152106886, "percentage": 5.65, "elapsed_time": "0:30:26", "remaining_time": "8:28:01"} | |
| {"current_steps": 120, "total_steps": 1946, "loss": 0.5912, "learning_rate": 2.9905683148398642e-05, "epoch": 0.12332990750256938, "percentage": 6.17, "elapsed_time": "0:33:10", "remaining_time": "8:24:53"} | |
| {"current_steps": 130, "total_steps": 1946, "loss": 0.5834, "learning_rate": 2.9800687100869334e-05, "epoch": 0.13360739979445016, "percentage": 6.68, "elapsed_time": "0:35:55", "remaining_time": "8:21:44"} | |
| {"current_steps": 140, "total_steps": 1946, "loss": 0.564, "learning_rate": 2.9657202989567393e-05, "epoch": 0.14388489208633093, "percentage": 7.19, "elapsed_time": "0:38:43", "remaining_time": "8:19:29"} | |
| {"current_steps": 150, "total_steps": 1946, "loss": 0.5842, "learning_rate": 2.94756039340371e-05, "epoch": 0.15416238437821173, "percentage": 7.71, "elapsed_time": "0:41:28", "remaining_time": "8:16:36"} | |
| {"current_steps": 160, "total_steps": 1946, "loss": 0.5748, "learning_rate": 2.9256362168843153e-05, "epoch": 0.1644398766700925, "percentage": 8.22, "elapsed_time": "0:44:15", "remaining_time": "8:14:01"} | |
| {"current_steps": 170, "total_steps": 1946, "loss": 0.5773, "learning_rate": 2.90000478155605e-05, "epoch": 0.1747173689619733, "percentage": 8.74, "elapsed_time": "0:46:57", "remaining_time": "8:10:32"} | |
| {"current_steps": 180, "total_steps": 1946, "loss": 0.5639, "learning_rate": 2.870732740021648e-05, "epoch": 0.18499486125385406, "percentage": 9.25, "elapsed_time": "0:49:42", "remaining_time": "8:07:42"} | |
| {"current_steps": 190, "total_steps": 1946, "loss": 0.5681, "learning_rate": 2.837896212004041e-05, "epoch": 0.19527235354573483, "percentage": 9.76, "elapsed_time": "0:52:26", "remaining_time": "8:04:41"} | |
| {"current_steps": 200, "total_steps": 1946, "loss": 0.5714, "learning_rate": 2.801580586402798e-05, "epoch": 0.20554984583761562, "percentage": 10.28, "elapsed_time": "0:55:11", "remaining_time": "8:01:48"} | |
| {"current_steps": 210, "total_steps": 1946, "loss": 0.5576, "learning_rate": 2.7618802992467718e-05, "epoch": 0.2158273381294964, "percentage": 10.79, "elapsed_time": "0:57:53", "remaining_time": "7:58:36"} | |
| {"current_steps": 220, "total_steps": 1946, "loss": 0.5691, "learning_rate": 2.7188985881203685e-05, "epoch": 0.2261048304213772, "percentage": 11.31, "elapsed_time": "1:00:44", "remaining_time": "7:56:30"} | |
| {"current_steps": 230, "total_steps": 1946, "loss": 0.5762, "learning_rate": 2.672747223702045e-05, "epoch": 0.23638232271325796, "percentage": 11.82, "elapsed_time": "1:03:29", "remaining_time": "7:53:43"} | |
| {"current_steps": 240, "total_steps": 1946, "loss": 0.5643, "learning_rate": 2.623546219113139e-05, "epoch": 0.24665981500513876, "percentage": 12.33, "elapsed_time": "1:06:14", "remaining_time": "7:50:52"} | |
| {"current_steps": 250, "total_steps": 1946, "loss": 0.5774, "learning_rate": 2.5714235178328554e-05, "epoch": 0.2569373072970195, "percentage": 12.85, "elapsed_time": "1:08:58", "remaining_time": "7:47:56"} | |
| {"current_steps": 260, "total_steps": 1946, "loss": 0.5627, "learning_rate": 2.516514660990954e-05, "epoch": 0.2672147995889003, "percentage": 13.36, "elapsed_time": "1:11:41", "remaining_time": "7:44:52"} | |
| {"current_steps": 270, "total_steps": 1946, "loss": 0.5594, "learning_rate": 2.4589624349033273e-05, "epoch": 0.2774922918807811, "percentage": 13.87, "elapsed_time": "1:14:26", "remaining_time": "7:42:03"} | |
| {"current_steps": 280, "total_steps": 1946, "loss": 0.5562, "learning_rate": 2.3989164997670207e-05, "epoch": 0.28776978417266186, "percentage": 14.39, "elapsed_time": "1:17:11", "remaining_time": "7:39:20"} | |
| {"current_steps": 290, "total_steps": 1946, "loss": 0.5301, "learning_rate": 2.3365330004802443e-05, "epoch": 0.29804727646454265, "percentage": 14.9, "elapsed_time": "1:19:56", "remaining_time": "7:36:31"} | |
| {"current_steps": 300, "total_steps": 1946, "loss": 0.5506, "learning_rate": 2.271974160599415e-05, "epoch": 0.30832476875642345, "percentage": 15.42, "elapsed_time": "1:22:44", "remaining_time": "7:33:57"} | |
| {"current_steps": 310, "total_steps": 1946, "loss": 0.5517, "learning_rate": 2.2054078604891052e-05, "epoch": 0.3186022610483042, "percentage": 15.93, "elapsed_time": "1:25:34", "remaining_time": "7:31:37"} | |
| {"current_steps": 320, "total_steps": 1946, "loss": 0.5622, "learning_rate": 2.1370072007618947e-05, "epoch": 0.328879753340185, "percentage": 16.44, "elapsed_time": "1:28:12", "remaining_time": "7:28:10"} | |
| {"current_steps": 330, "total_steps": 1946, "loss": 0.5447, "learning_rate": 2.06695005214336e-05, "epoch": 0.3391572456320658, "percentage": 16.96, "elapsed_time": "1:30:59", "remaining_time": "7:25:34"} | |
| {"current_steps": 340, "total_steps": 1946, "loss": 0.541, "learning_rate": 1.995418592932751e-05, "epoch": 0.3494347379239466, "percentage": 17.47, "elapsed_time": "1:33:43", "remaining_time": "7:22:41"} | |
| {"current_steps": 350, "total_steps": 1946, "loss": 0.5433, "learning_rate": 1.9225988352621445e-05, "epoch": 0.3597122302158273, "percentage": 17.99, "elapsed_time": "1:36:31", "remaining_time": "7:20:09"} | |
| {"current_steps": 360, "total_steps": 1946, "loss": 0.5416, "learning_rate": 1.8486801413860122e-05, "epoch": 0.3699897225077081, "percentage": 18.5, "elapsed_time": "1:39:13", "remaining_time": "7:17:07"} | |
| {"current_steps": 370, "total_steps": 1946, "loss": 0.5455, "learning_rate": 1.7738547312590426e-05, "epoch": 0.3802672147995889, "percentage": 19.01, "elapsed_time": "1:42:01", "remaining_time": "7:14:36"} | |
| {"current_steps": 380, "total_steps": 1946, "loss": 0.5331, "learning_rate": 1.6983171826827357e-05, "epoch": 0.39054470709146966, "percentage": 19.53, "elapsed_time": "1:44:48", "remaining_time": "7:11:53"} | |
| {"current_steps": 390, "total_steps": 1946, "loss": 0.5468, "learning_rate": 1.6222639253205944e-05, "epoch": 0.40082219938335045, "percentage": 20.04, "elapsed_time": "1:47:32", "remaining_time": "7:09:04"} | |
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| {"current_steps": 410, "total_steps": 1946, "loss": 0.5433, "learning_rate": 1.4694021939128921e-05, "epoch": 0.42137718396711205, "percentage": 21.07, "elapsed_time": "1:52:59", "remaining_time": "7:03:17"} | |
| {"current_steps": 420, "total_steps": 1946, "loss": 0.5292, "learning_rate": 1.3929912252011512e-05, "epoch": 0.4316546762589928, "percentage": 21.58, "elapsed_time": "1:55:44", "remaining_time": "7:00:31"} | |
| {"current_steps": 430, "total_steps": 1946, "loss": 0.5288, "learning_rate": 1.3168585246887604e-05, "epoch": 0.4419321685508736, "percentage": 22.1, "elapsed_time": "1:58:29", "remaining_time": "6:57:46"} | |
| {"current_steps": 440, "total_steps": 1946, "loss": 0.5356, "learning_rate": 1.2412020696866724e-05, "epoch": 0.4522096608427544, "percentage": 22.61, "elapsed_time": "2:01:12", "remaining_time": "6:54:50"} | |
| {"current_steps": 450, "total_steps": 1946, "loss": 0.5491, "learning_rate": 1.1662185990655285e-05, "epoch": 0.4624871531346352, "percentage": 23.12, "elapsed_time": "2:04:00", "remaining_time": "6:52:16"} | |
| {"current_steps": 460, "total_steps": 1946, "loss": 0.5253, "learning_rate": 1.0921031016511509e-05, "epoch": 0.4727646454265159, "percentage": 23.64, "elapsed_time": "2:06:47", "remaining_time": "6:49:34"} | |
| {"current_steps": 470, "total_steps": 1946, "loss": 0.5246, "learning_rate": 1.0190483091708966e-05, "epoch": 0.4830421377183967, "percentage": 24.15, "elapsed_time": "2:09:31", "remaining_time": "6:46:45"} | |
| {"current_steps": 480, "total_steps": 1946, "loss": 0.5311, "learning_rate": 9.472441950694257e-06, "epoch": 0.4933196300102775, "percentage": 24.67, "elapsed_time": "2:12:19", "remaining_time": "6:44:07"} | |
| {"current_steps": 490, "total_steps": 1946, "loss": 0.5341, "learning_rate": 8.768774804971705e-06, "epoch": 0.5035971223021583, "percentage": 25.18, "elapsed_time": "2:15:05", "remaining_time": "6:41:23"} | |
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| {"current_steps": 510, "total_steps": 1946, "loss": 0.5165, "learning_rate": 7.411839694657976e-06, "epoch": 0.5241521068859198, "percentage": 26.21, "elapsed_time": "2:20:40", "remaining_time": "6:36:05"} | |
| {"current_steps": 520, "total_steps": 1946, "loss": 0.5085, "learning_rate": 6.762100336860873e-06, "epoch": 0.5344295991778006, "percentage": 26.72, "elapsed_time": "2:23:24", "remaining_time": "6:33:16"} | |
| {"current_steps": 530, "total_steps": 1946, "loss": 0.5158, "learning_rate": 6.133783012069853e-06, "epoch": 0.5447070914696814, "percentage": 27.24, "elapsed_time": "2:26:14", "remaining_time": "6:30:43"} | |
| {"current_steps": 540, "total_steps": 1946, "loss": 0.5313, "learning_rate": 5.528521611813133e-06, "epoch": 0.5549845837615622, "percentage": 27.75, "elapsed_time": "2:28:57", "remaining_time": "6:27:50"} | |
| {"current_steps": 550, "total_steps": 1946, "loss": 0.5193, "learning_rate": 4.947890072436609e-06, "epoch": 0.5652620760534429, "percentage": 28.26, "elapsed_time": "2:31:41", "remaining_time": "6:25:01"} | |
| {"current_steps": 560, "total_steps": 1946, "loss": 0.5108, "learning_rate": 4.393398282201788e-06, "epoch": 0.5755395683453237, "percentage": 28.78, "elapsed_time": "2:34:18", "remaining_time": "6:21:55"} | |
| {"current_steps": 570, "total_steps": 1946, "loss": 0.5356, "learning_rate": 3.866488154935951e-06, "epoch": 0.5858170606372045, "percentage": 29.29, "elapsed_time": "2:37:07", "remaining_time": "6:19:18"} | |
| {"current_steps": 580, "total_steps": 1946, "loss": 0.4915, "learning_rate": 3.3685298804446406e-06, "epoch": 0.5960945529290853, "percentage": 29.8, "elapsed_time": "2:39:53", "remaining_time": "6:16:34"} | |
| {"current_steps": 590, "total_steps": 1946, "loss": 0.5135, "learning_rate": 2.900818361437053e-06, "epoch": 0.6063720452209661, "percentage": 30.32, "elapsed_time": "2:42:40", "remaining_time": "6:13:52"} | |
| {"current_steps": 600, "total_steps": 1946, "loss": 0.5052, "learning_rate": 2.4645698462297583e-06, "epoch": 0.6166495375128469, "percentage": 30.83, "elapsed_time": "2:45:25", "remaining_time": "6:11:05"} | |
| {"current_steps": 610, "total_steps": 1946, "loss": 0.5023, "learning_rate": 2.0609187659852914e-06, "epoch": 0.6269270298047277, "percentage": 31.35, "elapsed_time": "2:48:12", "remaining_time": "6:08:23"} | |
| {"current_steps": 620, "total_steps": 1946, "loss": 0.5359, "learning_rate": 1.6909147847099526e-06, "epoch": 0.6372045220966084, "percentage": 31.86, "elapsed_time": "2:51:01", "remaining_time": "6:05:46"} | |
| {"current_steps": 630, "total_steps": 1946, "loss": 0.5073, "learning_rate": 1.3555200696822235e-06, "epoch": 0.6474820143884892, "percentage": 32.37, "elapsed_time": "2:53:45", "remaining_time": "6:02:57"} | |
| {"current_steps": 640, "total_steps": 1946, "loss": 0.5242, "learning_rate": 1.0556067894097571e-06, "epoch": 0.65775950668037, "percentage": 32.89, "elapsed_time": "2:56:34", "remaining_time": "6:00:20"} | |
| {"current_steps": 650, "total_steps": 1946, "loss": 0.5155, "learning_rate": 7.919548456213516e-07, "epoch": 0.6680369989722508, "percentage": 33.4, "elapsed_time": "2:59:16", "remaining_time": "5:57:27"} | |
| {"current_steps": 660, "total_steps": 1946, "loss": 0.5158, "learning_rate": 5.652498451916799e-07, "epoch": 0.6783144912641316, "percentage": 33.92, "elapsed_time": "3:02:04", "remaining_time": "5:54:45"} | |
| {"current_steps": 670, "total_steps": 1946, "loss": 0.5142, "learning_rate": 3.760813172726457e-07, "epoch": 0.6885919835560124, "percentage": 34.43, "elapsed_time": "3:04:47", "remaining_time": "5:51:56"} | |
| {"current_steps": 680, "total_steps": 1946, "loss": 0.5232, "learning_rate": 2.2494118026754551e-07, "epoch": 0.6988694758478932, "percentage": 34.94, "elapsed_time": "3:07:36", "remaining_time": "5:49:16"} | |
| {"current_steps": 690, "total_steps": 1946, "loss": 0.5148, "learning_rate": 1.1222246263458469e-07, "epoch": 0.7091469681397738, "percentage": 35.46, "elapsed_time": "3:10:24", "remaining_time": "5:46:35"} | |
| {"current_steps": 700, "total_steps": 1946, "loss": 0.5118, "learning_rate": 3.821828084619727e-08, "epoch": 0.7194244604316546, "percentage": 35.97, "elapsed_time": "3:13:09", "remaining_time": "5:43:48"} | |
| {"current_steps": 710, "total_steps": 1946, "loss": 0.5009, "learning_rate": 3.1210771619027966e-09, "epoch": 0.7297019527235354, "percentage": 36.49, "elapsed_time": "3:15:54", "remaining_time": "5:41:03"} | |
| {"current_steps": 720, "total_steps": 1946, "loss": 0.5148, "learning_rate": 7.022119196808396e-09, "epoch": 0.7399794450154162, "percentage": 37.0, "elapsed_time": "3:18:40", "remaining_time": "5:38:17"} | |
| {"current_steps": 730, "total_steps": 1946, "loss": 0.5122, "learning_rate": 4.991126258710177e-08, "epoch": 0.750256937307297, "percentage": 37.51, "elapsed_time": "3:21:27", "remaining_time": "5:35:34"} | |
| {"current_steps": 740, "total_steps": 1946, "loss": 0.4926, "learning_rate": 1.3167697736969798e-07, "epoch": 0.7605344295991778, "percentage": 38.03, "elapsed_time": "3:24:05", "remaining_time": "5:32:36"} | |
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