Text Generation
Transformers
Safetensors
qwen3
llama-factory
full
Generated from Trainer
conversational
text-generation-inference
Instructions to use TabibitoQZP/Qwen3-4B-Sorted-3Task with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TabibitoQZP/Qwen3-4B-Sorted-3Task with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="TabibitoQZP/Qwen3-4B-Sorted-3Task") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("TabibitoQZP/Qwen3-4B-Sorted-3Task") model = AutoModelForCausalLM.from_pretrained("TabibitoQZP/Qwen3-4B-Sorted-3Task") 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 TabibitoQZP/Qwen3-4B-Sorted-3Task with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "TabibitoQZP/Qwen3-4B-Sorted-3Task" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "TabibitoQZP/Qwen3-4B-Sorted-3Task", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/TabibitoQZP/Qwen3-4B-Sorted-3Task
- SGLang
How to use TabibitoQZP/Qwen3-4B-Sorted-3Task 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 "TabibitoQZP/Qwen3-4B-Sorted-3Task" \ --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": "TabibitoQZP/Qwen3-4B-Sorted-3Task", "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 "TabibitoQZP/Qwen3-4B-Sorted-3Task" \ --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": "TabibitoQZP/Qwen3-4B-Sorted-3Task", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use TabibitoQZP/Qwen3-4B-Sorted-3Task with Docker Model Runner:
docker model run hf.co/TabibitoQZP/Qwen3-4B-Sorted-3Task
| {"current_steps": 10, "total_steps": 1589, "loss": 1.2507, "lr": 5.660377358490567e-07, "epoch": 0.0062932662051604785, "percentage": 0.63, "elapsed_time": "0:05:32", "remaining_time": "14:35:32"} | |
| {"current_steps": 20, "total_steps": 1589, "loss": 0.9818, "lr": 1.1949685534591195e-06, "epoch": 0.012586532410320957, "percentage": 1.26, "elapsed_time": "0:10:45", "remaining_time": "14:04:35"} | |
| {"current_steps": 30, "total_steps": 1589, "loss": 0.6639, "lr": 1.8238993710691824e-06, "epoch": 0.018879798615481436, "percentage": 1.89, "elapsed_time": "0:16:12", "remaining_time": "14:02:13"} | |
| {"current_steps": 40, "total_steps": 1589, "loss": 0.603, "lr": 2.4528301886792453e-06, "epoch": 0.025173064820641914, "percentage": 2.52, "elapsed_time": "0:21:48", "remaining_time": "14:04:28"} | |
| {"current_steps": 50, "total_steps": 1589, "loss": 0.5679, "lr": 3.0817610062893084e-06, "epoch": 0.03146633102580239, "percentage": 3.15, "elapsed_time": "0:26:49", "remaining_time": "13:45:46"} | |
| {"current_steps": 60, "total_steps": 1589, "loss": 0.5549, "lr": 3.710691823899371e-06, "epoch": 0.03775959723096287, "percentage": 3.78, "elapsed_time": "0:32:09", "remaining_time": "13:39:28"} | |
| {"current_steps": 70, "total_steps": 1589, "loss": 0.5552, "lr": 4.339622641509435e-06, "epoch": 0.04405286343612335, "percentage": 4.41, "elapsed_time": "0:37:35", "remaining_time": "13:35:42"} | |
| {"current_steps": 80, "total_steps": 1589, "loss": 0.558, "lr": 4.968553459119497e-06, "epoch": 0.05034612964128383, "percentage": 5.03, "elapsed_time": "0:42:57", "remaining_time": "13:30:11"} | |
| {"current_steps": 90, "total_steps": 1589, "loss": 0.5432, "lr": 5.59748427672956e-06, "epoch": 0.056639395846444306, "percentage": 5.66, "elapsed_time": "0:48:10", "remaining_time": "13:22:22"} | |
| {"current_steps": 100, "total_steps": 1589, "loss": 0.541, "lr": 6.226415094339623e-06, "epoch": 0.06293266205160478, "percentage": 6.29, "elapsed_time": "0:53:35", "remaining_time": "13:17:52"} | |
| {"current_steps": 110, "total_steps": 1589, "loss": 0.5457, "lr": 6.855345911949685e-06, "epoch": 0.06922592825676527, "percentage": 6.92, "elapsed_time": "0:58:56", "remaining_time": "13:12:31"} | |
| {"current_steps": 120, "total_steps": 1589, "loss": 0.5285, "lr": 7.484276729559748e-06, "epoch": 0.07551919446192575, "percentage": 7.55, "elapsed_time": "1:04:14", "remaining_time": "13:06:24"} | |
| {"current_steps": 130, "total_steps": 1589, "loss": 0.5352, "lr": 8.113207547169812e-06, "epoch": 0.08181246066708622, "percentage": 8.18, "elapsed_time": "1:09:35", "remaining_time": "13:01:07"} | |
| {"current_steps": 140, "total_steps": 1589, "loss": 0.5333, "lr": 8.742138364779875e-06, "epoch": 0.0881057268722467, "percentage": 8.81, "elapsed_time": "1:14:48", "remaining_time": "12:54:12"} | |
| {"current_steps": 150, "total_steps": 1589, "loss": 0.5372, "lr": 9.371069182389939e-06, "epoch": 0.09439899307740718, "percentage": 9.44, "elapsed_time": "1:20:13", "remaining_time": "12:49:38"} | |
| {"current_steps": 160, "total_steps": 1589, "loss": 0.5339, "lr": 1e-05, "epoch": 0.10069225928256766, "percentage": 10.07, "elapsed_time": "1:25:25", "remaining_time": "12:42:53"} | |
| {"current_steps": 170, "total_steps": 1589, "loss": 0.5371, "lr": 9.998793436421342e-06, "epoch": 0.10698552548772813, "percentage": 10.7, "elapsed_time": "1:30:50", "remaining_time": "12:38:15"} | |
| {"current_steps": 180, "total_steps": 1589, "loss": 0.5224, "lr": 9.99517432800363e-06, "epoch": 0.11327879169288861, "percentage": 11.33, "elapsed_time": "1:36:10", "remaining_time": "12:32:47"} | |
| {"current_steps": 190, "total_steps": 1589, "loss": 0.5209, "lr": 9.98914442142063e-06, "epoch": 0.11957205789804909, "percentage": 11.96, "elapsed_time": "1:41:15", "remaining_time": "12:25:36"} | |
| {"current_steps": 200, "total_steps": 1589, "loss": 0.5261, "lr": 9.980706626858607e-06, "epoch": 0.12586532410320955, "percentage": 12.59, "elapsed_time": "1:46:25", "remaining_time": "12:19:10"} | |
| {"current_steps": 210, "total_steps": 1589, "loss": 0.522, "lr": 9.9698650166118e-06, "epoch": 0.13215859030837004, "percentage": 13.22, "elapsed_time": "1:51:24", "remaining_time": "12:11:36"} | |
| {"current_steps": 220, "total_steps": 1589, "loss": 0.5305, "lr": 9.956624823117036e-06, "epoch": 0.13845185651353054, "percentage": 13.85, "elapsed_time": "1:56:36", "remaining_time": "12:05:35"} | |
| {"current_steps": 230, "total_steps": 1589, "loss": 0.5247, "lr": 9.94099243642841e-06, "epoch": 0.144745122718691, "percentage": 14.47, "elapsed_time": "2:01:50", "remaining_time": "11:59:57"} | |
| {"current_steps": 240, "total_steps": 1589, "loss": 0.5286, "lr": 9.922975401133292e-06, "epoch": 0.1510383889238515, "percentage": 15.1, "elapsed_time": "2:07:13", "remaining_time": "11:55:06"} | |
| {"current_steps": 250, "total_steps": 1589, "loss": 0.5299, "lr": 9.90258241271112e-06, "epoch": 0.15733165512901195, "percentage": 15.73, "elapsed_time": "2:12:31", "remaining_time": "11:49:45"} | |
| {"current_steps": 260, "total_steps": 1589, "loss": 0.5262, "lr": 9.879823313336723e-06, "epoch": 0.16362492133417245, "percentage": 16.36, "elapsed_time": "2:17:47", "remaining_time": "11:44:18"} | |
| {"current_steps": 270, "total_steps": 1589, "loss": 0.5227, "lr": 9.854709087130261e-06, "epoch": 0.1699181875393329, "percentage": 16.99, "elapsed_time": "2:23:01", "remaining_time": "11:38:42"} | |
| {"current_steps": 280, "total_steps": 1589, "loss": 0.5186, "lr": 9.827251854855992e-06, "epoch": 0.1762114537444934, "percentage": 17.62, "elapsed_time": "2:28:09", "remaining_time": "11:32:37"} | |
| {"current_steps": 290, "total_steps": 1589, "loss": 0.5127, "lr": 9.797464868072489e-06, "epoch": 0.18250471994965387, "percentage": 18.25, "elapsed_time": "2:32:55", "remaining_time": "11:25:00"} | |
| {"current_steps": 300, "total_steps": 1589, "loss": 0.5167, "lr": 9.765362502737098e-06, "epoch": 0.18879798615481436, "percentage": 18.88, "elapsed_time": "2:38:11", "remaining_time": "11:19:40"} | |
| {"current_steps": 310, "total_steps": 1589, "loss": 0.5225, "lr": 9.730960252267744e-06, "epoch": 0.19509125235997482, "percentage": 19.51, "elapsed_time": "2:43:33", "remaining_time": "11:14:47"} | |
| {"current_steps": 320, "total_steps": 1589, "loss": 0.5149, "lr": 9.6942747200654e-06, "epoch": 0.2013845185651353, "percentage": 20.14, "elapsed_time": "2:48:42", "remaining_time": "11:09:03"} | |
| {"current_steps": 330, "total_steps": 1589, "loss": 0.518, "lr": 9.655323611500876e-06, "epoch": 0.20767778477029578, "percentage": 20.77, "elapsed_time": "2:54:03", "remaining_time": "11:04:02"} | |
| {"current_steps": 340, "total_steps": 1589, "loss": 0.5095, "lr": 9.614125725369748e-06, "epoch": 0.21397105097545627, "percentage": 21.4, "elapsed_time": "2:59:03", "remaining_time": "10:57:47"} | |
| {"current_steps": 350, "total_steps": 1589, "loss": 0.5233, "lr": 9.570700944819584e-06, "epoch": 0.22026431718061673, "percentage": 22.03, "elapsed_time": "3:04:15", "remaining_time": "10:52:14"} | |
| {"current_steps": 360, "total_steps": 1589, "loss": 0.5125, "lr": 9.525070227753835e-06, "epoch": 0.22655758338577722, "percentage": 22.66, "elapsed_time": "3:09:30", "remaining_time": "10:46:57"} | |
| {"current_steps": 370, "total_steps": 1589, "loss": 0.5191, "lr": 9.477255596717012e-06, "epoch": 0.2328508495909377, "percentage": 23.29, "elapsed_time": "3:14:43", "remaining_time": "10:41:33"} | |
| {"current_steps": 380, "total_steps": 1589, "loss": 0.5163, "lr": 9.427280128266049e-06, "epoch": 0.23914411579609818, "percentage": 23.91, "elapsed_time": "3:19:55", "remaining_time": "10:36:03"} | |
| {"current_steps": 390, "total_steps": 1589, "loss": 0.5062, "lr": 9.375167941832974e-06, "epoch": 0.24543738200125864, "percentage": 24.54, "elapsed_time": "3:24:55", "remaining_time": "10:30:01"} | |
| {"current_steps": 400, "total_steps": 1589, "loss": 0.518, "lr": 9.320944188084241e-06, "epoch": 0.2517306482064191, "percentage": 25.17, "elapsed_time": "3:30:05", "remaining_time": "10:24:29"} | |
| {"current_steps": 410, "total_steps": 1589, "loss": 0.5042, "lr": 9.264635036782406e-06, "epoch": 0.2580239144115796, "percentage": 25.8, "elapsed_time": "3:35:12", "remaining_time": "10:18:51"} | |
| {"current_steps": 420, "total_steps": 1589, "loss": 0.5221, "lr": 9.206267664155906e-06, "epoch": 0.2643171806167401, "percentage": 26.43, "elapsed_time": "3:40:32", "remaining_time": "10:13:49"} | |
| {"current_steps": 430, "total_steps": 1589, "loss": 0.5172, "lr": 9.145870239783143e-06, "epoch": 0.27061044682190055, "percentage": 27.06, "elapsed_time": "3:45:53", "remaining_time": "10:08:50"} | |
| {"current_steps": 440, "total_steps": 1589, "loss": 0.5143, "lr": 9.08347191299711e-06, "epoch": 0.27690371302706107, "percentage": 27.69, "elapsed_time": "3:51:18", "remaining_time": "10:04:00"} | |
| {"current_steps": 450, "total_steps": 1589, "loss": 0.5164, "lr": 9.019102798817196e-06, "epoch": 0.28319697923222154, "percentage": 28.32, "elapsed_time": "3:56:31", "remaining_time": "9:58:40"} | |
| {"current_steps": 460, "total_steps": 1589, "loss": 0.5179, "lr": 8.952793963414908e-06, "epoch": 0.289490245437382, "percentage": 28.95, "elapsed_time": "4:01:46", "remaining_time": "9:53:24"} | |
| {"current_steps": 470, "total_steps": 1589, "loss": 0.5073, "lr": 8.884577409120535e-06, "epoch": 0.29578351164254246, "percentage": 29.58, "elapsed_time": "4:06:54", "remaining_time": "9:47:51"} | |
| {"current_steps": 480, "total_steps": 1589, "loss": 0.5042, "lr": 8.814486058978035e-06, "epoch": 0.302076777847703, "percentage": 30.21, "elapsed_time": "4:11:56", "remaining_time": "9:42:06"} | |
| {"current_steps": 490, "total_steps": 1589, "loss": 0.5191, "lr": 8.742553740855507e-06, "epoch": 0.30837004405286345, "percentage": 30.84, "elapsed_time": "4:17:21", "remaining_time": "9:37:13"} | |
| {"current_steps": 500, "total_steps": 1589, "loss": 0.5163, "lr": 8.66881517111902e-06, "epoch": 0.3146633102580239, "percentage": 31.47, "elapsed_time": "4:23:02", "remaining_time": "9:32:55"} | |
| {"current_steps": 510, "total_steps": 1589, "loss": 0.5152, "lr": 8.593305937877614e-06, "epoch": 0.3209565764631844, "percentage": 32.1, "elapsed_time": "4:28:06", "remaining_time": "9:27:14"} | |
| {"current_steps": 520, "total_steps": 1589, "loss": 0.5192, "lr": 8.516062483807556e-06, "epoch": 0.3272498426683449, "percentage": 32.72, "elapsed_time": "4:33:25", "remaining_time": "9:22:05"} | |
| {"current_steps": 530, "total_steps": 1589, "loss": 0.5054, "lr": 8.437122088564197e-06, "epoch": 0.33354310887350536, "percentage": 33.35, "elapsed_time": "4:38:34", "remaining_time": "9:16:37"} | |
| {"current_steps": 540, "total_steps": 1589, "loss": 0.5032, "lr": 8.356522850789852e-06, "epoch": 0.3398363750786658, "percentage": 33.98, "elapsed_time": "4:43:38", "remaining_time": "9:11:00"} | |
| {"current_steps": 550, "total_steps": 1589, "loss": 0.5113, "lr": 8.274303669726427e-06, "epoch": 0.3461296412838263, "percentage": 34.61, "elapsed_time": "4:48:53", "remaining_time": "9:05:45"} | |
| {"current_steps": 560, "total_steps": 1589, "loss": 0.5029, "lr": 8.190504226441654e-06, "epoch": 0.3524229074889868, "percentage": 35.24, "elapsed_time": "4:54:08", "remaining_time": "9:00:29"} | |
| {"current_steps": 570, "total_steps": 1589, "loss": 0.5127, "lr": 8.105164964678009e-06, "epoch": 0.35871617369414727, "percentage": 35.87, "elapsed_time": "4:59:31", "remaining_time": "8:55:28"} | |
| {"current_steps": 580, "total_steps": 1589, "loss": 0.5178, "lr": 8.018327071333521e-06, "epoch": 0.36500943989930773, "percentage": 36.5, "elapsed_time": "5:05:02", "remaining_time": "8:50:39"} | |
| {"current_steps": 590, "total_steps": 1589, "loss": 0.5064, "lr": 7.930032456583931e-06, "epoch": 0.3713027061044682, "percentage": 37.13, "elapsed_time": "5:10:16", "remaining_time": "8:45:22"} | |
| {"current_steps": 600, "total_steps": 1589, "loss": 0.5025, "lr": 7.84032373365578e-06, "epoch": 0.3775959723096287, "percentage": 37.76, "elapsed_time": "5:15:31", "remaining_time": "8:40:05"} | |
| {"current_steps": 610, "total_steps": 1589, "loss": 0.5103, "lr": 7.749244198260175e-06, "epoch": 0.3838892385147892, "percentage": 38.39, "elapsed_time": "5:20:37", "remaining_time": "8:34:34"} | |
| {"current_steps": 620, "total_steps": 1589, "loss": 0.5129, "lr": 7.656837807697187e-06, "epoch": 0.39018250471994964, "percentage": 39.02, "elapsed_time": "5:26:00", "remaining_time": "8:29:31"} | |
| {"current_steps": 630, "total_steps": 1589, "loss": 0.5053, "lr": 7.563149159640929e-06, "epoch": 0.3964757709251101, "percentage": 39.65, "elapsed_time": "5:31:09", "remaining_time": "8:24:05"} | |
| {"current_steps": 640, "total_steps": 1589, "loss": 0.5223, "lr": 7.468223470615593e-06, "epoch": 0.4027690371302706, "percentage": 40.28, "elapsed_time": "5:36:28", "remaining_time": "8:18:55"} | |
| {"current_steps": 650, "total_steps": 1589, "loss": 0.5024, "lr": 7.372106554172802e-06, "epoch": 0.4090623033354311, "percentage": 40.91, "elapsed_time": "5:41:41", "remaining_time": "8:13:37"} | |
| {"current_steps": 660, "total_steps": 1589, "loss": 0.5123, "lr": 7.274844798780826e-06, "epoch": 0.41535556954059155, "percentage": 41.54, "elapsed_time": "5:47:11", "remaining_time": "8:08:42"} | |
| {"current_steps": 670, "total_steps": 1589, "loss": 0.5051, "lr": 7.176485145436325e-06, "epoch": 0.42164883574575207, "percentage": 42.16, "elapsed_time": "5:52:31", "remaining_time": "8:03:32"} | |
| {"current_steps": 680, "total_steps": 1589, "loss": 0.5059, "lr": 7.0770750650094335e-06, "epoch": 0.42794210195091253, "percentage": 42.79, "elapsed_time": "5:57:57", "remaining_time": "7:58:29"} | |
| {"current_steps": 690, "total_steps": 1589, "loss": 0.4999, "lr": 6.976662535333107e-06, "epoch": 0.434235368156073, "percentage": 43.42, "elapsed_time": "6:03:04", "remaining_time": "7:53:02"} | |
| {"current_steps": 700, "total_steps": 1589, "loss": 0.5054, "lr": 6.87529601804781e-06, "epoch": 0.44052863436123346, "percentage": 44.05, "elapsed_time": "6:08:16", "remaining_time": "7:47:42"} | |
| {"current_steps": 710, "total_steps": 1589, "loss": 0.5066, "lr": 6.773024435212678e-06, "epoch": 0.446821900566394, "percentage": 44.68, "elapsed_time": "6:13:14", "remaining_time": "7:42:04"} | |
| {"current_steps": 720, "total_steps": 1589, "loss": 0.5086, "lr": 6.669897145694507e-06, "epoch": 0.45311516677155445, "percentage": 45.31, "elapsed_time": "6:18:17", "remaining_time": "7:36:35"} | |
| {"current_steps": 730, "total_steps": 1589, "loss": 0.4939, "lr": 6.565963921345896e-06, "epoch": 0.4594084329767149, "percentage": 45.94, "elapsed_time": "6:23:38", "remaining_time": "7:31:26"} | |
| {"current_steps": 740, "total_steps": 1589, "loss": 0.4995, "lr": 6.461274922984087e-06, "epoch": 0.4657016991818754, "percentage": 46.57, "elapsed_time": "6:29:02", "remaining_time": "7:26:20"} | |
| {"current_steps": 750, "total_steps": 1589, "loss": 0.5038, "lr": 6.355880676182086e-06, "epoch": 0.4719949653870359, "percentage": 47.2, "elapsed_time": "6:34:13", "remaining_time": "7:21:00"} | |
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