Text Generation
Transformers
Safetensors
apertus
llama-factory
full
Generated from Trainer
conversational
Instructions to use formalmathatepfl/ApertusFinetuned02 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use formalmathatepfl/ApertusFinetuned02 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="formalmathatepfl/ApertusFinetuned02") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("formalmathatepfl/ApertusFinetuned02") model = AutoModelForCausalLM.from_pretrained("formalmathatepfl/ApertusFinetuned02") 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 formalmathatepfl/ApertusFinetuned02 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "formalmathatepfl/ApertusFinetuned02" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "formalmathatepfl/ApertusFinetuned02", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/formalmathatepfl/ApertusFinetuned02
- SGLang
How to use formalmathatepfl/ApertusFinetuned02 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 "formalmathatepfl/ApertusFinetuned02" \ --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": "formalmathatepfl/ApertusFinetuned02", "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 "formalmathatepfl/ApertusFinetuned02" \ --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": "formalmathatepfl/ApertusFinetuned02", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use formalmathatepfl/ApertusFinetuned02 with Docker Model Runner:
docker model run hf.co/formalmathatepfl/ApertusFinetuned02
| {"current_steps": 20, "total_steps": 12855, "loss": 1.1942, "lr": 4.922279792746115e-06, "epoch": 0.001555875374382512, "percentage": 0.16, "elapsed_time": "0:00:51", "remaining_time": "9:08:54"} | |
| {"current_steps": 40, "total_steps": 12855, "loss": 0.6039, "lr": 1.0103626943005182e-05, "epoch": 0.003111750748765024, "percentage": 0.31, "elapsed_time": "0:01:39", "remaining_time": "8:51:17"} | |
| {"current_steps": 60, "total_steps": 12855, "loss": 0.3162, "lr": 1.528497409326425e-05, "epoch": 0.004667626123147536, "percentage": 0.47, "elapsed_time": "0:02:27", "remaining_time": "8:44:23"} | |
| {"current_steps": 80, "total_steps": 12855, "loss": 0.2512, "lr": 2.046632124352332e-05, "epoch": 0.006223501497530048, "percentage": 0.62, "elapsed_time": "0:03:15", "remaining_time": "8:40:11"} | |
| {"current_steps": 100, "total_steps": 12855, "loss": 0.2, "lr": 2.5647668393782386e-05, "epoch": 0.00777937687191256, "percentage": 0.78, "elapsed_time": "0:04:03", "remaining_time": "8:37:28"} | |
| {"current_steps": 120, "total_steps": 12855, "loss": 0.2222, "lr": 3.082901554404145e-05, "epoch": 0.009335252246295072, "percentage": 0.93, "elapsed_time": "0:04:51", "remaining_time": "8:35:18"} | |
| {"current_steps": 140, "total_steps": 12855, "loss": 0.2031, "lr": 3.601036269430052e-05, "epoch": 0.010891127620677584, "percentage": 1.09, "elapsed_time": "0:05:39", "remaining_time": "8:33:35"} | |
| {"current_steps": 160, "total_steps": 12855, "loss": 0.1727, "lr": 4.119170984455959e-05, "epoch": 0.012447002995060095, "percentage": 1.24, "elapsed_time": "0:06:27", "remaining_time": "8:31:58"} | |
| {"current_steps": 180, "total_steps": 12855, "loss": 0.1959, "lr": 4.637305699481865e-05, "epoch": 0.014002878369442608, "percentage": 1.4, "elapsed_time": "0:07:15", "remaining_time": "8:30:38"} | |
| {"current_steps": 200, "total_steps": 12855, "loss": 0.2178, "lr": 5.155440414507773e-05, "epoch": 0.01555875374382512, "percentage": 1.56, "elapsed_time": "0:08:02", "remaining_time": "8:29:18"} | |
| {"current_steps": 220, "total_steps": 12855, "loss": 0.1624, "lr": 5.673575129533679e-05, "epoch": 0.01711462911820763, "percentage": 1.71, "elapsed_time": "0:08:51", "remaining_time": "8:28:21"} | |
| {"current_steps": 240, "total_steps": 12855, "loss": 0.2156, "lr": 6.191709844559586e-05, "epoch": 0.018670504492590143, "percentage": 1.87, "elapsed_time": "0:09:38", "remaining_time": "8:27:05"} | |
| {"current_steps": 260, "total_steps": 12855, "loss": 0.206, "lr": 6.709844559585493e-05, "epoch": 0.020226379866972656, "percentage": 2.02, "elapsed_time": "0:10:26", "remaining_time": "8:25:54"} | |
| {"current_steps": 280, "total_steps": 12855, "loss": 0.2041, "lr": 7.2279792746114e-05, "epoch": 0.02178225524135517, "percentage": 2.18, "elapsed_time": "0:11:14", "remaining_time": "8:24:52"} | |
| {"current_steps": 300, "total_steps": 12855, "loss": 0.2034, "lr": 7.746113989637306e-05, "epoch": 0.023338130615737678, "percentage": 2.33, "elapsed_time": "0:12:02", "remaining_time": "8:23:54"} | |
| {"current_steps": 320, "total_steps": 12855, "loss": 0.1893, "lr": 8.264248704663214e-05, "epoch": 0.02489400599012019, "percentage": 2.49, "elapsed_time": "0:12:50", "remaining_time": "8:22:55"} | |
| {"current_steps": 340, "total_steps": 12855, "loss": 0.1866, "lr": 8.78238341968912e-05, "epoch": 0.026449881364502704, "percentage": 2.64, "elapsed_time": "0:13:37", "remaining_time": "8:21:48"} | |
| {"current_steps": 360, "total_steps": 12855, "loss": 0.1914, "lr": 9.300518134715026e-05, "epoch": 0.028005756738885217, "percentage": 2.8, "elapsed_time": "0:14:25", "remaining_time": "8:20:53"} | |
| {"current_steps": 380, "total_steps": 12855, "loss": 0.1942, "lr": 9.818652849740934e-05, "epoch": 0.029561632113267726, "percentage": 2.96, "elapsed_time": "0:15:13", "remaining_time": "8:19:59"} | |
| {"current_steps": 400, "total_steps": 12855, "loss": 0.1995, "lr": 9.999973179750075e-05, "epoch": 0.03111750748765024, "percentage": 3.11, "elapsed_time": "0:16:01", "remaining_time": "8:19:02"} | |
| {"current_steps": 420, "total_steps": 12855, "loss": 0.1975, "lr": 9.999827176863762e-05, "epoch": 0.03267338286203275, "percentage": 3.27, "elapsed_time": "0:16:49", "remaining_time": "8:18:05"} | |
| {"current_steps": 440, "total_steps": 12855, "loss": 0.2005, "lr": 9.999554218757943e-05, "epoch": 0.03422925823641526, "percentage": 3.42, "elapsed_time": "0:17:37", "remaining_time": "8:17:10"} | |
| {"current_steps": 460, "total_steps": 12855, "loss": 0.1703, "lr": 9.999154312363545e-05, "epoch": 0.03578513361079778, "percentage": 3.58, "elapsed_time": "0:18:24", "remaining_time": "8:16:13"} | |
| {"current_steps": 480, "total_steps": 12855, "loss": 0.1946, "lr": 9.99862746783496e-05, "epoch": 0.037341008985180286, "percentage": 3.73, "elapsed_time": "0:19:12", "remaining_time": "8:15:19"} | |
| {"current_steps": 500, "total_steps": 12855, "loss": 0.1749, "lr": 9.997973698549783e-05, "epoch": 0.038896884359562796, "percentage": 3.89, "elapsed_time": "0:20:00", "remaining_time": "8:14:25"} | |
| {"current_steps": 520, "total_steps": 12855, "loss": 0.1828, "lr": 9.997193021108474e-05, "epoch": 0.04045275973394531, "percentage": 4.05, "elapsed_time": "0:20:48", "remaining_time": "8:13:32"} | |
| {"current_steps": 540, "total_steps": 12855, "loss": 0.2116, "lr": 9.996285455333931e-05, "epoch": 0.04200863510832782, "percentage": 4.2, "elapsed_time": "0:21:36", "remaining_time": "8:12:38"} | |
| {"current_steps": 560, "total_steps": 12855, "loss": 0.1749, "lr": 9.995251024270995e-05, "epoch": 0.04356451048271034, "percentage": 4.36, "elapsed_time": "0:22:23", "remaining_time": "8:11:44"} | |
| {"current_steps": 580, "total_steps": 12855, "loss": 0.1914, "lr": 9.994089754185858e-05, "epoch": 0.04512038585709285, "percentage": 4.51, "elapsed_time": "0:23:11", "remaining_time": "8:10:49"} | |
| {"current_steps": 600, "total_steps": 12855, "loss": 0.2059, "lr": 9.992801674565399e-05, "epoch": 0.046676261231475356, "percentage": 4.67, "elapsed_time": "0:23:59", "remaining_time": "8:09:55"} | |
| {"current_steps": 620, "total_steps": 12855, "loss": 0.1753, "lr": 9.991386818116433e-05, "epoch": 0.04823213660585787, "percentage": 4.82, "elapsed_time": "0:24:46", "remaining_time": "8:09:01"} | |
| {"current_steps": 640, "total_steps": 12855, "loss": 0.178, "lr": 9.989845220764885e-05, "epoch": 0.04978801198024038, "percentage": 4.98, "elapsed_time": "0:25:34", "remaining_time": "8:08:06"} | |
| {"current_steps": 660, "total_steps": 12855, "loss": 0.2126, "lr": 9.988176921654875e-05, "epoch": 0.05134388735462289, "percentage": 5.13, "elapsed_time": "0:26:22", "remaining_time": "8:07:13"} | |
| {"current_steps": 680, "total_steps": 12855, "loss": 0.1812, "lr": 9.986381963147722e-05, "epoch": 0.05289976272900541, "percentage": 5.29, "elapsed_time": "0:27:09", "remaining_time": "8:06:21"} | |
| {"current_steps": 700, "total_steps": 12855, "loss": 0.1902, "lr": 9.984460390820873e-05, "epoch": 0.05445563810338792, "percentage": 5.45, "elapsed_time": "0:27:57", "remaining_time": "8:05:28"} | |
| {"current_steps": 720, "total_steps": 12855, "loss": 0.1958, "lr": 9.98241225346674e-05, "epoch": 0.05601151347777043, "percentage": 5.6, "elapsed_time": "0:28:45", "remaining_time": "8:04:37"} | |
| {"current_steps": 740, "total_steps": 12855, "loss": 0.1756, "lr": 9.980237603091466e-05, "epoch": 0.05756738885215294, "percentage": 5.76, "elapsed_time": "0:29:33", "remaining_time": "8:03:47"} | |
| {"current_steps": 760, "total_steps": 12855, "loss": 0.1766, "lr": 9.977936494913605e-05, "epoch": 0.05912326422653545, "percentage": 5.91, "elapsed_time": "0:30:20", "remaining_time": "8:02:55"} | |
| {"current_steps": 780, "total_steps": 12855, "loss": 0.1983, "lr": 9.975508987362715e-05, "epoch": 0.06067913960091797, "percentage": 6.07, "elapsed_time": "0:31:08", "remaining_time": "8:02:05"} | |
| {"current_steps": 800, "total_steps": 12855, "loss": 0.1431, "lr": 9.972955142077874e-05, "epoch": 0.06223501497530048, "percentage": 6.22, "elapsed_time": "0:31:56", "remaining_time": "8:01:18"} | |
| {"current_steps": 820, "total_steps": 12855, "loss": 0.164, "lr": 9.970275023906125e-05, "epoch": 0.063790890349683, "percentage": 6.38, "elapsed_time": "0:32:44", "remaining_time": "8:00:28"} | |
| {"current_steps": 840, "total_steps": 12855, "loss": 0.1387, "lr": 9.967468700900816e-05, "epoch": 0.0653467657240655, "percentage": 6.53, "elapsed_time": "0:33:32", "remaining_time": "7:59:45"} | |
| {"current_steps": 860, "total_steps": 12855, "loss": 0.1609, "lr": 9.964536244319882e-05, "epoch": 0.06690264109844801, "percentage": 6.69, "elapsed_time": "0:34:20", "remaining_time": "7:58:53"} | |
| {"current_steps": 880, "total_steps": 12855, "loss": 0.1602, "lr": 9.96147772862403e-05, "epoch": 0.06845851647283052, "percentage": 6.85, "elapsed_time": "0:35:07", "remaining_time": "7:58:01"} | |
| {"current_steps": 900, "total_steps": 12855, "loss": 0.1736, "lr": 9.95829323147485e-05, "epoch": 0.07001439184721304, "percentage": 7.0, "elapsed_time": "0:35:55", "remaining_time": "7:57:09"} | |
| {"current_steps": 920, "total_steps": 12855, "loss": 0.169, "lr": 9.954982833732845e-05, "epoch": 0.07157026722159555, "percentage": 7.16, "elapsed_time": "0:36:42", "remaining_time": "7:56:17"} | |
| {"current_steps": 940, "total_steps": 12855, "loss": 0.1802, "lr": 9.951546619455374e-05, "epoch": 0.07312614259597806, "percentage": 7.31, "elapsed_time": "0:37:30", "remaining_time": "7:55:26"} | |
| {"current_steps": 960, "total_steps": 12855, "loss": 0.1552, "lr": 9.947984675894522e-05, "epoch": 0.07468201797036057, "percentage": 7.47, "elapsed_time": "0:38:18", "remaining_time": "7:54:37"} | |
| {"current_steps": 980, "total_steps": 12855, "loss": 0.1813, "lr": 9.944297093494877e-05, "epoch": 0.07623789334474308, "percentage": 7.62, "elapsed_time": "0:39:05", "remaining_time": "7:53:46"} | |
| {"current_steps": 1000, "total_steps": 12855, "loss": 0.1481, "lr": 9.940483965891247e-05, "epoch": 0.07779376871912559, "percentage": 7.78, "elapsed_time": "0:39:53", "remaining_time": "7:52:56"} | |
| {"current_steps": 1020, "total_steps": 12855, "loss": 0.1549, "lr": 9.936545389906264e-05, "epoch": 0.07934964409350811, "percentage": 7.93, "elapsed_time": "0:42:11", "remaining_time": "8:09:28"} | |
| {"current_steps": 1040, "total_steps": 12855, "loss": 0.1732, "lr": 9.932481465547944e-05, "epoch": 0.08090551946789062, "percentage": 8.09, "elapsed_time": "0:42:58", "remaining_time": "8:08:14"} | |
| {"current_steps": 1060, "total_steps": 12855, "loss": 0.1667, "lr": 9.928292296007133e-05, "epoch": 0.08246139484227313, "percentage": 8.25, "elapsed_time": "0:43:46", "remaining_time": "8:07:02"} | |
| {"current_steps": 1080, "total_steps": 12855, "loss": 0.1618, "lr": 9.923977987654899e-05, "epoch": 0.08401727021665564, "percentage": 8.4, "elapsed_time": "0:44:33", "remaining_time": "8:05:51"} | |
| {"current_steps": 1100, "total_steps": 12855, "loss": 0.1809, "lr": 9.919538650039818e-05, "epoch": 0.08557314559103815, "percentage": 8.56, "elapsed_time": "0:45:21", "remaining_time": "8:04:41"} | |
| {"current_steps": 1120, "total_steps": 12855, "loss": 0.1781, "lr": 9.914974395885202e-05, "epoch": 0.08712902096542068, "percentage": 8.71, "elapsed_time": "0:46:09", "remaining_time": "8:03:33"} | |
| {"current_steps": 1140, "total_steps": 12855, "loss": 0.1497, "lr": 9.910285341086238e-05, "epoch": 0.08868489633980318, "percentage": 8.87, "elapsed_time": "0:46:56", "remaining_time": "8:02:25"} | |
| {"current_steps": 1160, "total_steps": 12855, "loss": 0.1627, "lr": 9.905471604707036e-05, "epoch": 0.0902407717141857, "percentage": 9.02, "elapsed_time": "0:47:44", "remaining_time": "8:01:18"} | |
| {"current_steps": 1180, "total_steps": 12855, "loss": 0.1566, "lr": 9.90053330897761e-05, "epoch": 0.0917966470885682, "percentage": 9.18, "elapsed_time": "0:48:32", "remaining_time": "8:00:12"} | |
| {"current_steps": 1200, "total_steps": 12855, "loss": 0.1627, "lr": 9.895470579290782e-05, "epoch": 0.09335252246295071, "percentage": 9.33, "elapsed_time": "0:49:19", "remaining_time": "7:59:07"} | |
| {"current_steps": 1220, "total_steps": 12855, "loss": 0.157, "lr": 9.890283544198984e-05, "epoch": 0.09490839783733324, "percentage": 9.49, "elapsed_time": "0:50:07", "remaining_time": "7:58:02"} | |
| {"current_steps": 1240, "total_steps": 12855, "loss": 0.158, "lr": 9.884972335411006e-05, "epoch": 0.09646427321171575, "percentage": 9.65, "elapsed_time": "0:50:55", "remaining_time": "7:56:59"} | |
| {"current_steps": 1260, "total_steps": 12855, "loss": 0.1546, "lr": 9.879537087788644e-05, "epoch": 0.09802014858609825, "percentage": 9.8, "elapsed_time": "0:51:42", "remaining_time": "7:55:54"} | |
| {"current_steps": 1280, "total_steps": 12855, "loss": 0.1565, "lr": 9.873977939343281e-05, "epoch": 0.09957602396048076, "percentage": 9.96, "elapsed_time": "0:52:30", "remaining_time": "7:54:52"} | |
| {"current_steps": 1300, "total_steps": 12855, "loss": 0.1619, "lr": 9.868295031232376e-05, "epoch": 0.10113189933486327, "percentage": 10.11, "elapsed_time": "0:53:18", "remaining_time": "7:53:49"} | |
| {"current_steps": 1320, "total_steps": 12855, "loss": 0.1718, "lr": 9.862488507755887e-05, "epoch": 0.10268777470924578, "percentage": 10.27, "elapsed_time": "0:54:06", "remaining_time": "7:52:48"} | |
| {"current_steps": 1340, "total_steps": 12855, "loss": 0.1762, "lr": 9.856558516352604e-05, "epoch": 0.1042436500836283, "percentage": 10.42, "elapsed_time": "0:54:53", "remaining_time": "7:51:45"} | |
| {"current_steps": 1360, "total_steps": 12855, "loss": 0.1557, "lr": 9.850505207596399e-05, "epoch": 0.10579952545801082, "percentage": 10.58, "elapsed_time": "0:55:41", "remaining_time": "7:50:44"} | |
| {"current_steps": 1380, "total_steps": 12855, "loss": 0.162, "lr": 9.844328735192419e-05, "epoch": 0.10735540083239332, "percentage": 10.74, "elapsed_time": "0:56:29", "remaining_time": "7:49:43"} | |
| {"current_steps": 1400, "total_steps": 12855, "loss": 0.1676, "lr": 9.838029255973164e-05, "epoch": 0.10891127620677583, "percentage": 10.89, "elapsed_time": "0:57:17", "remaining_time": "7:48:42"} | |
| {"current_steps": 1420, "total_steps": 12855, "loss": 0.164, "lr": 9.831606929894515e-05, "epoch": 0.11046715158115834, "percentage": 11.05, "elapsed_time": "0:58:04", "remaining_time": "7:47:41"} | |
| {"current_steps": 1440, "total_steps": 12855, "loss": 0.1653, "lr": 9.825061920031676e-05, "epoch": 0.11202302695554087, "percentage": 11.2, "elapsed_time": "0:58:52", "remaining_time": "7:46:41"} | |
| {"current_steps": 1460, "total_steps": 12855, "loss": 0.1712, "lr": 9.818394392575019e-05, "epoch": 0.11357890232992338, "percentage": 11.36, "elapsed_time": "0:59:40", "remaining_time": "7:45:41"} | |
| {"current_steps": 1480, "total_steps": 12855, "loss": 0.1331, "lr": 9.81160451682588e-05, "epoch": 0.11513477770430589, "percentage": 11.51, "elapsed_time": "1:00:27", "remaining_time": "7:44:41"} | |
| {"current_steps": 1500, "total_steps": 12855, "loss": 0.145, "lr": 9.804692465192255e-05, "epoch": 0.1166906530786884, "percentage": 11.67, "elapsed_time": "1:01:15", "remaining_time": "7:43:41"} | |
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