Text Generation
Transformers
Safetensors
qwen3
llama-factory
full
Generated from Trainer
conversational
text-generation-inference
Instructions to use DCAgent/b1_top4_seq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DCAgent/b1_top4_seq with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="DCAgent/b1_top4_seq") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("DCAgent/b1_top4_seq") model = AutoModelForCausalLM.from_pretrained("DCAgent/b1_top4_seq") 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
- vLLM
How to use DCAgent/b1_top4_seq with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "DCAgent/b1_top4_seq" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "DCAgent/b1_top4_seq", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/DCAgent/b1_top4_seq
- SGLang
How to use DCAgent/b1_top4_seq 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 "DCAgent/b1_top4_seq" \ --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": "DCAgent/b1_top4_seq", "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 "DCAgent/b1_top4_seq" \ --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": "DCAgent/b1_top4_seq", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use DCAgent/b1_top4_seq with Docker Model Runner:
docker model run hf.co/DCAgent/b1_top4_seq
| {"current_steps": 5, "total_steps": 4305, "loss": 0.9202, "lr": 3.7122969837587006e-07, "epoch": 0.008130081300813009, "percentage": 0.12, "elapsed_time": "0:00:33", "remaining_time": "7:53:10"} | |
| {"current_steps": 10, "total_steps": 4305, "loss": 0.898, "lr": 8.352668213457077e-07, "epoch": 0.016260162601626018, "percentage": 0.23, "elapsed_time": "0:00:54", "remaining_time": "6:29:20"} | |
| {"current_steps": 15, "total_steps": 4305, "loss": 0.8875, "lr": 1.2993039443155453e-06, "epoch": 0.024390243902439025, "percentage": 0.35, "elapsed_time": "0:01:17", "remaining_time": "6:09:22"} | |
| {"current_steps": 20, "total_steps": 4305, "loss": 0.854, "lr": 1.7633410672853829e-06, "epoch": 0.032520325203252036, "percentage": 0.46, "elapsed_time": "0:01:39", "remaining_time": "5:54:58"} | |
| {"current_steps": 25, "total_steps": 4305, "loss": 0.8042, "lr": 2.2273781902552207e-06, "epoch": 0.04065040650406504, "percentage": 0.58, "elapsed_time": "0:02:02", "remaining_time": "5:48:26"} | |
| {"current_steps": 30, "total_steps": 4305, "loss": 0.7482, "lr": 2.691415313225058e-06, "epoch": 0.04878048780487805, "percentage": 0.7, "elapsed_time": "0:02:23", "remaining_time": "5:39:52"} | |
| {"current_steps": 35, "total_steps": 4305, "loss": 0.7012, "lr": 3.155452436194896e-06, "epoch": 0.056910569105691054, "percentage": 0.81, "elapsed_time": "0:02:47", "remaining_time": "5:39:40"} | |
| {"current_steps": 40, "total_steps": 4305, "loss": 0.6651, "lr": 3.6194895591647333e-06, "epoch": 0.06504065040650407, "percentage": 0.93, "elapsed_time": "0:03:12", "remaining_time": "5:42:29"} | |
| {"current_steps": 45, "total_steps": 4305, "loss": 0.6066, "lr": 4.083526682134571e-06, "epoch": 0.07317073170731707, "percentage": 1.05, "elapsed_time": "0:03:35", "remaining_time": "5:39:41"} | |
| {"current_steps": 50, "total_steps": 4305, "loss": 0.5674, "lr": 4.547563805104409e-06, "epoch": 0.08130081300813008, "percentage": 1.16, "elapsed_time": "0:03:58", "remaining_time": "5:38:03"} | |
| {"current_steps": 55, "total_steps": 4305, "loss": 0.5433, "lr": 5.011600928074246e-06, "epoch": 0.08943089430894309, "percentage": 1.28, "elapsed_time": "0:04:21", "remaining_time": "5:37:07"} | |
| {"current_steps": 60, "total_steps": 4305, "loss": 0.4903, "lr": 5.4756380510440845e-06, "epoch": 0.0975609756097561, "percentage": 1.39, "elapsed_time": "0:04:44", "remaining_time": "5:36:00"} | |
| {"current_steps": 65, "total_steps": 4305, "loss": 0.4853, "lr": 5.939675174013921e-06, "epoch": 0.10569105691056911, "percentage": 1.51, "elapsed_time": "0:05:06", "remaining_time": "5:33:34"} | |
| {"current_steps": 70, "total_steps": 4305, "loss": 0.4651, "lr": 6.403712296983759e-06, "epoch": 0.11382113821138211, "percentage": 1.63, "elapsed_time": "0:05:32", "remaining_time": "5:34:54"} | |
| {"current_steps": 75, "total_steps": 4305, "loss": 0.4632, "lr": 6.867749419953597e-06, "epoch": 0.12195121951219512, "percentage": 1.74, "elapsed_time": "0:05:53", "remaining_time": "5:32:26"} | |
| {"current_steps": 80, "total_steps": 4305, "loss": 0.4304, "lr": 7.331786542923435e-06, "epoch": 0.13008130081300814, "percentage": 1.86, "elapsed_time": "0:06:15", "remaining_time": "5:30:51"} | |
| {"current_steps": 85, "total_steps": 4305, "loss": 0.4473, "lr": 7.795823665893271e-06, "epoch": 0.13821138211382114, "percentage": 1.97, "elapsed_time": "0:06:40", "remaining_time": "5:31:37"} | |
| {"current_steps": 90, "total_steps": 4305, "loss": 0.4149, "lr": 8.25986078886311e-06, "epoch": 0.14634146341463414, "percentage": 2.09, "elapsed_time": "0:07:05", "remaining_time": "5:32:09"} | |
| {"current_steps": 95, "total_steps": 4305, "loss": 0.4072, "lr": 8.723897911832948e-06, "epoch": 0.15447154471544716, "percentage": 2.21, "elapsed_time": "0:07:29", "remaining_time": "5:32:13"} | |
| {"current_steps": 100, "total_steps": 4305, "loss": 0.4021, "lr": 9.187935034802784e-06, "epoch": 0.16260162601626016, "percentage": 2.32, "elapsed_time": "0:07:53", "remaining_time": "5:31:42"} | |
| {"current_steps": 105, "total_steps": 4305, "loss": 0.3774, "lr": 9.651972157772623e-06, "epoch": 0.17073170731707318, "percentage": 2.44, "elapsed_time": "0:08:12", "remaining_time": "5:28:26"} | |
| {"current_steps": 110, "total_steps": 4305, "loss": 0.4005, "lr": 1.011600928074246e-05, "epoch": 0.17886178861788618, "percentage": 2.56, "elapsed_time": "0:08:33", "remaining_time": "5:26:28"} | |
| {"current_steps": 115, "total_steps": 4305, "loss": 0.3827, "lr": 1.0580046403712299e-05, "epoch": 0.18699186991869918, "percentage": 2.67, "elapsed_time": "0:08:55", "remaining_time": "5:25:09"} | |
| {"current_steps": 120, "total_steps": 4305, "loss": 0.3693, "lr": 1.1044083526682134e-05, "epoch": 0.1951219512195122, "percentage": 2.79, "elapsed_time": "0:09:18", "remaining_time": "5:24:38"} | |
| {"current_steps": 125, "total_steps": 4305, "loss": 0.3783, "lr": 1.1508120649651972e-05, "epoch": 0.2032520325203252, "percentage": 2.9, "elapsed_time": "0:09:42", "remaining_time": "5:24:45"} | |
| {"current_steps": 130, "total_steps": 4305, "loss": 0.3642, "lr": 1.197215777262181e-05, "epoch": 0.21138211382113822, "percentage": 3.02, "elapsed_time": "0:10:04", "remaining_time": "5:23:38"} | |
| {"current_steps": 135, "total_steps": 4305, "loss": 0.3395, "lr": 1.2436194895591649e-05, "epoch": 0.21951219512195122, "percentage": 3.14, "elapsed_time": "0:10:26", "remaining_time": "5:22:35"} | |
| {"current_steps": 140, "total_steps": 4305, "loss": 0.3674, "lr": 1.2900232018561485e-05, "epoch": 0.22764227642276422, "percentage": 3.25, "elapsed_time": "0:10:49", "remaining_time": "5:21:53"} | |
| {"current_steps": 145, "total_steps": 4305, "loss": 0.355, "lr": 1.3364269141531323e-05, "epoch": 0.23577235772357724, "percentage": 3.37, "elapsed_time": "0:11:11", "remaining_time": "5:21:05"} | |
| {"current_steps": 150, "total_steps": 4305, "loss": 0.3743, "lr": 1.3828306264501162e-05, "epoch": 0.24390243902439024, "percentage": 3.48, "elapsed_time": "0:11:35", "remaining_time": "5:21:03"} | |
| {"current_steps": 155, "total_steps": 4305, "loss": 0.3976, "lr": 1.4292343387471e-05, "epoch": 0.25203252032520324, "percentage": 3.6, "elapsed_time": "0:11:56", "remaining_time": "5:19:34"} | |
| {"current_steps": 160, "total_steps": 4305, "loss": 0.6062, "lr": 1.4756380510440838e-05, "epoch": 0.2601626016260163, "percentage": 3.72, "elapsed_time": "0:12:17", "remaining_time": "5:18:13"} | |
| {"current_steps": 165, "total_steps": 4305, "loss": 0.6187, "lr": 1.5220417633410673e-05, "epoch": 0.2682926829268293, "percentage": 3.83, "elapsed_time": "0:12:42", "remaining_time": "5:18:52"} | |
| {"current_steps": 170, "total_steps": 4305, "loss": 0.5829, "lr": 1.5684454756380513e-05, "epoch": 0.2764227642276423, "percentage": 3.95, "elapsed_time": "0:13:00", "remaining_time": "5:16:31"} | |
| {"current_steps": 175, "total_steps": 4305, "loss": 0.6002, "lr": 1.614849187935035e-05, "epoch": 0.2845528455284553, "percentage": 4.07, "elapsed_time": "0:13:25", "remaining_time": "5:16:52"} | |
| {"current_steps": 180, "total_steps": 4305, "loss": 0.5798, "lr": 1.661252900232019e-05, "epoch": 0.2926829268292683, "percentage": 4.18, "elapsed_time": "0:13:42", "remaining_time": "5:14:19"} | |
| {"current_steps": 185, "total_steps": 4305, "loss": 0.5719, "lr": 1.7076566125290022e-05, "epoch": 0.3008130081300813, "percentage": 4.3, "elapsed_time": "0:14:05", "remaining_time": "5:13:49"} | |
| {"current_steps": 190, "total_steps": 4305, "loss": 0.5686, "lr": 1.7540603248259862e-05, "epoch": 0.3089430894308943, "percentage": 4.41, "elapsed_time": "0:14:32", "remaining_time": "5:14:48"} | |
| {"current_steps": 195, "total_steps": 4305, "loss": 0.5773, "lr": 1.80046403712297e-05, "epoch": 0.3170731707317073, "percentage": 4.53, "elapsed_time": "0:14:50", "remaining_time": "5:12:54"} | |
| {"current_steps": 200, "total_steps": 4305, "loss": 0.5486, "lr": 1.846867749419954e-05, "epoch": 0.3252032520325203, "percentage": 4.65, "elapsed_time": "0:15:10", "remaining_time": "5:11:29"} | |
| {"current_steps": 205, "total_steps": 4305, "loss": 0.5707, "lr": 1.8932714617169375e-05, "epoch": 0.3333333333333333, "percentage": 4.76, "elapsed_time": "0:15:33", "remaining_time": "5:11:05"} | |
| {"current_steps": 210, "total_steps": 4305, "loss": 0.5388, "lr": 1.9396751740139212e-05, "epoch": 0.34146341463414637, "percentage": 4.88, "elapsed_time": "0:15:59", "remaining_time": "5:11:57"} | |
| {"current_steps": 215, "total_steps": 4305, "loss": 0.4952, "lr": 1.986078886310905e-05, "epoch": 0.34959349593495936, "percentage": 4.99, "elapsed_time": "0:16:24", "remaining_time": "5:12:14"} | |
| {"current_steps": 220, "total_steps": 4305, "loss": 0.553, "lr": 2.0324825986078888e-05, "epoch": 0.35772357723577236, "percentage": 5.11, "elapsed_time": "0:16:45", "remaining_time": "5:11:14"} | |
| {"current_steps": 225, "total_steps": 4305, "loss": 0.505, "lr": 2.0788863109048725e-05, "epoch": 0.36585365853658536, "percentage": 5.23, "elapsed_time": "0:17:05", "remaining_time": "5:09:56"} | |
| {"current_steps": 230, "total_steps": 4305, "loss": 0.505, "lr": 2.125290023201856e-05, "epoch": 0.37398373983739835, "percentage": 5.34, "elapsed_time": "0:17:32", "remaining_time": "5:10:41"} | |
| {"current_steps": 235, "total_steps": 4305, "loss": 0.5055, "lr": 2.17169373549884e-05, "epoch": 0.3821138211382114, "percentage": 5.46, "elapsed_time": "0:17:52", "remaining_time": "5:09:42"} | |
| {"current_steps": 240, "total_steps": 4305, "loss": 0.5096, "lr": 2.2180974477958238e-05, "epoch": 0.3902439024390244, "percentage": 5.57, "elapsed_time": "0:18:15", "remaining_time": "5:09:07"} | |
| {"current_steps": 245, "total_steps": 4305, "loss": 0.5388, "lr": 2.2645011600928078e-05, "epoch": 0.3983739837398374, "percentage": 5.69, "elapsed_time": "0:18:36", "remaining_time": "5:08:21"} | |
| {"current_steps": 250, "total_steps": 4305, "loss": 0.5191, "lr": 2.3109048723897914e-05, "epoch": 0.4065040650406504, "percentage": 5.81, "elapsed_time": "0:18:54", "remaining_time": "5:06:42"} | |
| {"current_steps": 255, "total_steps": 4305, "loss": 0.5341, "lr": 2.357308584686775e-05, "epoch": 0.4146341463414634, "percentage": 5.92, "elapsed_time": "0:19:12", "remaining_time": "5:04:59"} | |
| {"current_steps": 260, "total_steps": 4305, "loss": 0.5276, "lr": 2.4037122969837587e-05, "epoch": 0.42276422764227645, "percentage": 6.04, "elapsed_time": "0:19:33", "remaining_time": "5:04:10"} | |
| {"current_steps": 265, "total_steps": 4305, "loss": 0.5337, "lr": 2.4501160092807427e-05, "epoch": 0.43089430894308944, "percentage": 6.16, "elapsed_time": "0:19:48", "remaining_time": "5:02:02"} | |
| {"current_steps": 270, "total_steps": 4305, "loss": 0.5394, "lr": 2.4965197215777264e-05, "epoch": 0.43902439024390244, "percentage": 6.27, "elapsed_time": "0:20:05", "remaining_time": "5:00:16"} | |
| {"current_steps": 275, "total_steps": 4305, "loss": 0.5347, "lr": 2.54292343387471e-05, "epoch": 0.44715447154471544, "percentage": 6.39, "elapsed_time": "0:20:22", "remaining_time": "4:58:37"} | |
| {"current_steps": 280, "total_steps": 4305, "loss": 0.5136, "lr": 2.589327146171694e-05, "epoch": 0.45528455284552843, "percentage": 6.5, "elapsed_time": "0:20:41", "remaining_time": "4:57:24"} | |
| {"current_steps": 285, "total_steps": 4305, "loss": 0.5119, "lr": 2.6357308584686777e-05, "epoch": 0.4634146341463415, "percentage": 6.62, "elapsed_time": "0:21:01", "remaining_time": "4:56:37"} | |
| {"current_steps": 290, "total_steps": 4305, "loss": 0.5241, "lr": 2.6821345707656617e-05, "epoch": 0.4715447154471545, "percentage": 6.74, "elapsed_time": "0:21:23", "remaining_time": "4:56:05"} | |
| {"current_steps": 295, "total_steps": 4305, "loss": 0.5497, "lr": 2.7285382830626453e-05, "epoch": 0.4796747967479675, "percentage": 6.85, "elapsed_time": "0:21:51", "remaining_time": "4:57:01"} | |
| {"current_steps": 300, "total_steps": 4305, "loss": 0.5063, "lr": 2.774941995359629e-05, "epoch": 0.4878048780487805, "percentage": 6.97, "elapsed_time": "0:22:13", "remaining_time": "4:56:41"} | |
| {"current_steps": 305, "total_steps": 4305, "loss": 0.4681, "lr": 2.8213457076566126e-05, "epoch": 0.4959349593495935, "percentage": 7.08, "elapsed_time": "0:22:29", "remaining_time": "4:54:57"} | |
| {"current_steps": 310, "total_steps": 4305, "loss": 0.4762, "lr": 2.8677494199535966e-05, "epoch": 0.5040650406504065, "percentage": 7.2, "elapsed_time": "0:22:58", "remaining_time": "4:56:07"} | |
| {"current_steps": 315, "total_steps": 4305, "loss": 0.474, "lr": 2.9141531322505803e-05, "epoch": 0.5121951219512195, "percentage": 7.32, "elapsed_time": "0:23:31", "remaining_time": "4:57:59"} | |
| {"current_steps": 320, "total_steps": 4305, "loss": 0.4858, "lr": 2.9605568445475643e-05, "epoch": 0.5203252032520326, "percentage": 7.43, "elapsed_time": "0:24:03", "remaining_time": "4:59:35"} | |
| {"current_steps": 325, "total_steps": 4305, "loss": 0.4554, "lr": 3.006960556844548e-05, "epoch": 0.5284552845528455, "percentage": 7.55, "elapsed_time": "0:24:41", "remaining_time": "5:02:27"} | |
| {"current_steps": 330, "total_steps": 4305, "loss": 0.4773, "lr": 3.053364269141532e-05, "epoch": 0.5365853658536586, "percentage": 7.67, "elapsed_time": "0:25:15", "remaining_time": "5:04:15"} | |
| {"current_steps": 335, "total_steps": 4305, "loss": 0.4968, "lr": 3.099767981438515e-05, "epoch": 0.5447154471544715, "percentage": 7.78, "elapsed_time": "0:25:39", "remaining_time": "5:04:07"} | |
| {"current_steps": 340, "total_steps": 4305, "loss": 0.4644, "lr": 3.146171693735499e-05, "epoch": 0.5528455284552846, "percentage": 7.9, "elapsed_time": "0:26:14", "remaining_time": "5:06:04"} | |
| {"current_steps": 345, "total_steps": 4305, "loss": 0.4794, "lr": 3.1925754060324825e-05, "epoch": 0.5609756097560976, "percentage": 8.01, "elapsed_time": "0:26:46", "remaining_time": "5:07:21"} | |
| {"current_steps": 350, "total_steps": 4305, "loss": 0.4448, "lr": 3.2389791183294665e-05, "epoch": 0.5691056910569106, "percentage": 8.13, "elapsed_time": "0:27:19", "remaining_time": "5:08:49"} | |
| {"current_steps": 355, "total_steps": 4305, "loss": 0.4823, "lr": 3.2853828306264505e-05, "epoch": 0.5772357723577236, "percentage": 8.25, "elapsed_time": "0:27:51", "remaining_time": "5:10:02"} | |
| {"current_steps": 360, "total_steps": 4305, "loss": 0.457, "lr": 3.3317865429234345e-05, "epoch": 0.5853658536585366, "percentage": 8.36, "elapsed_time": "0:28:28", "remaining_time": "5:11:58"} | |
| {"current_steps": 365, "total_steps": 4305, "loss": 0.4389, "lr": 3.378190255220418e-05, "epoch": 0.5934959349593496, "percentage": 8.48, "elapsed_time": "0:29:07", "remaining_time": "5:14:25"} | |
| {"current_steps": 370, "total_steps": 4305, "loss": 0.4358, "lr": 3.424593967517402e-05, "epoch": 0.6016260162601627, "percentage": 8.59, "elapsed_time": "0:29:42", "remaining_time": "5:15:54"} | |
| {"current_steps": 375, "total_steps": 4305, "loss": 0.4695, "lr": 3.470997679814386e-05, "epoch": 0.6097560975609756, "percentage": 8.71, "elapsed_time": "0:30:19", "remaining_time": "5:17:48"} | |
| {"current_steps": 380, "total_steps": 4305, "loss": 0.4339, "lr": 3.517401392111369e-05, "epoch": 0.6178861788617886, "percentage": 8.83, "elapsed_time": "0:30:54", "remaining_time": "5:19:11"} | |
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