Text Generation
Transformers
Safetensors
qwen2
llama-factory
full
Generated from Trainer
conversational
text-generation-inference
🇪🇺 Region: EU
Instructions to use eth-sri/kodcode-v1-qwq-secureplusplus2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eth-sri/kodcode-v1-qwq-secureplusplus2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="eth-sri/kodcode-v1-qwq-secureplusplus2") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("eth-sri/kodcode-v1-qwq-secureplusplus2") model = AutoModelForCausalLM.from_pretrained("eth-sri/kodcode-v1-qwq-secureplusplus2") 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 eth-sri/kodcode-v1-qwq-secureplusplus2 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "eth-sri/kodcode-v1-qwq-secureplusplus2" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "eth-sri/kodcode-v1-qwq-secureplusplus2", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/eth-sri/kodcode-v1-qwq-secureplusplus2
- SGLang
How to use eth-sri/kodcode-v1-qwq-secureplusplus2 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 "eth-sri/kodcode-v1-qwq-secureplusplus2" \ --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": "eth-sri/kodcode-v1-qwq-secureplusplus2", "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 "eth-sri/kodcode-v1-qwq-secureplusplus2" \ --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": "eth-sri/kodcode-v1-qwq-secureplusplus2", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use eth-sri/kodcode-v1-qwq-secureplusplus2 with Docker Model Runner:
docker model run hf.co/eth-sri/kodcode-v1-qwq-secureplusplus2
| {"current_steps": 1, "total_steps": 126, "loss": 0.8036330938339233, "lr": 0.0, "epoch": 0.024096385542168676, "percentage": 0.79, "elapsed_time": "0:01:03", "remaining_time": "2:13:13"} | |
| {"current_steps": 2, "total_steps": 126, "loss": 0.8342046737670898, "lr": 7.692307692307694e-07, "epoch": 0.04819277108433735, "percentage": 1.59, "elapsed_time": "0:01:55", "remaining_time": "1:59:46"} | |
| {"current_steps": 3, "total_steps": 126, "loss": 0.8215794563293457, "lr": 1.5384615384615387e-06, "epoch": 0.07228915662650602, "percentage": 2.38, "elapsed_time": "0:03:01", "remaining_time": "2:03:54"} | |
| {"current_steps": 4, "total_steps": 126, "loss": 0.8065542578697205, "lr": 2.307692307692308e-06, "epoch": 0.0963855421686747, "percentage": 3.17, "elapsed_time": "0:03:55", "remaining_time": "1:59:28"} | |
| {"current_steps": 5, "total_steps": 126, "loss": 0.7859395742416382, "lr": 3.0769230769230774e-06, "epoch": 0.12048192771084337, "percentage": 3.97, "elapsed_time": "0:04:55", "remaining_time": "1:59:01"} | |
| {"current_steps": 6, "total_steps": 126, "loss": 0.7677067518234253, "lr": 3.846153846153847e-06, "epoch": 0.14457831325301204, "percentage": 4.76, "elapsed_time": "0:05:50", "remaining_time": "1:56:59"} | |
| {"current_steps": 7, "total_steps": 126, "loss": 0.7406724691390991, "lr": 4.615384615384616e-06, "epoch": 0.1686746987951807, "percentage": 5.56, "elapsed_time": "0:06:50", "remaining_time": "1:56:11"} | |
| {"current_steps": 8, "total_steps": 126, "loss": 0.7150983214378357, "lr": 5.384615384615385e-06, "epoch": 0.1927710843373494, "percentage": 6.35, "elapsed_time": "0:07:58", "remaining_time": "1:57:41"} | |
| {"current_steps": 9, "total_steps": 126, "loss": 0.7036643028259277, "lr": 6.153846153846155e-06, "epoch": 0.21686746987951808, "percentage": 7.14, "elapsed_time": "0:08:50", "remaining_time": "1:54:50"} | |
| {"current_steps": 10, "total_steps": 126, "loss": 0.7052457332611084, "lr": 6.923076923076923e-06, "epoch": 0.24096385542168675, "percentage": 7.94, "elapsed_time": "0:09:52", "remaining_time": "1:54:33"} | |
| {"current_steps": 11, "total_steps": 126, "loss": 0.6979789137840271, "lr": 7.692307692307694e-06, "epoch": 0.26506024096385544, "percentage": 8.73, "elapsed_time": "0:10:42", "remaining_time": "1:51:57"} | |
| {"current_steps": 12, "total_steps": 126, "loss": 0.723534107208252, "lr": 8.461538461538462e-06, "epoch": 0.2891566265060241, "percentage": 9.52, "elapsed_time": "0:11:36", "remaining_time": "1:50:17"} | |
| {"current_steps": 13, "total_steps": 126, "loss": 0.7533200979232788, "lr": 9.230769230769232e-06, "epoch": 0.3132530120481928, "percentage": 10.32, "elapsed_time": "0:12:26", "remaining_time": "1:48:12"} | |
| {"current_steps": 14, "total_steps": 126, "loss": 0.7557893991470337, "lr": 1e-05, "epoch": 0.3373493975903614, "percentage": 11.11, "elapsed_time": "0:13:20", "remaining_time": "1:46:40"} | |
| {"current_steps": 15, "total_steps": 126, "loss": 0.7446845769882202, "lr": 9.998067787472772e-06, "epoch": 0.3614457831325301, "percentage": 11.9, "elapsed_time": "0:14:09", "remaining_time": "1:44:44"} | |
| {"current_steps": 16, "total_steps": 126, "loss": 0.704272985458374, "lr": 9.992272643269181e-06, "epoch": 0.3855421686746988, "percentage": 12.7, "elapsed_time": "0:15:05", "remaining_time": "1:43:47"} | |
| {"current_steps": 17, "total_steps": 126, "loss": 0.7148613333702087, "lr": 9.982619046369321e-06, "epoch": 0.40963855421686746, "percentage": 13.49, "elapsed_time": "0:16:00", "remaining_time": "1:42:36"} | |
| {"current_steps": 18, "total_steps": 126, "loss": 0.6963663101196289, "lr": 9.96911445789354e-06, "epoch": 0.43373493975903615, "percentage": 14.29, "elapsed_time": "0:17:01", "remaining_time": "1:42:06"} | |
| {"current_steps": 19, "total_steps": 126, "loss": 0.697997510433197, "lr": 9.951769315335843e-06, "epoch": 0.4578313253012048, "percentage": 15.08, "elapsed_time": "0:17:59", "remaining_time": "1:41:19"} | |
| {"current_steps": 20, "total_steps": 126, "loss": 0.687644898891449, "lr": 9.930597024496933e-06, "epoch": 0.4819277108433735, "percentage": 15.87, "elapsed_time": "0:19:03", "remaining_time": "1:41:00"} | |
| {"current_steps": 21, "total_steps": 126, "loss": 0.6724652647972107, "lr": 9.905613949123036e-06, "epoch": 0.5060240963855421, "percentage": 16.67, "elapsed_time": "0:20:01", "remaining_time": "1:40:05"} | |
| {"current_steps": 22, "total_steps": 126, "loss": 0.6786834597587585, "lr": 9.87683939825864e-06, "epoch": 0.5301204819277109, "percentage": 17.46, "elapsed_time": "0:20:53", "remaining_time": "1:38:47"} | |
| {"current_steps": 23, "total_steps": 126, "loss": 0.6787407398223877, "lr": 9.844295611322804e-06, "epoch": 0.5542168674698795, "percentage": 18.25, "elapsed_time": "0:21:51", "remaining_time": "1:37:52"} | |
| {"current_steps": 24, "total_steps": 126, "loss": 0.6385012269020081, "lr": 9.808007740920647e-06, "epoch": 0.5783132530120482, "percentage": 19.05, "elapsed_time": "0:22:55", "remaining_time": "1:37:24"} | |
| {"current_steps": 25, "total_steps": 126, "loss": 0.6598682999610901, "lr": 9.768003833403278e-06, "epoch": 0.6024096385542169, "percentage": 19.84, "elapsed_time": "0:23:54", "remaining_time": "1:36:34"} | |
| {"current_steps": 26, "total_steps": 126, "loss": 0.6414320468902588, "lr": 9.724314807191197e-06, "epoch": 0.6265060240963856, "percentage": 20.63, "elapsed_time": "0:24:54", "remaining_time": "1:35:47"} | |
| {"current_steps": 27, "total_steps": 126, "loss": 0.6443482637405396, "lr": 9.6769744288779e-06, "epoch": 0.6506024096385542, "percentage": 21.43, "elapsed_time": "0:26:03", "remaining_time": "1:35:31"} | |
| {"current_steps": 28, "total_steps": 126, "loss": 0.6470450162887573, "lr": 9.626019287132202e-06, "epoch": 0.6746987951807228, "percentage": 22.22, "elapsed_time": "0:27:04", "remaining_time": "1:34:45"} | |
| {"current_steps": 29, "total_steps": 126, "loss": 0.6351138353347778, "lr": 9.571488764419381e-06, "epoch": 0.6987951807228916, "percentage": 23.02, "elapsed_time": "0:28:03", "remaining_time": "1:33:52"} | |
| {"current_steps": 30, "total_steps": 126, "loss": 0.6081345677375793, "lr": 9.51342500656308e-06, "epoch": 0.7228915662650602, "percentage": 23.81, "elapsed_time": "0:29:05", "remaining_time": "1:33:04"} | |
| {"current_steps": 31, "total_steps": 126, "loss": 0.6281493902206421, "lr": 9.451872890171419e-06, "epoch": 0.7469879518072289, "percentage": 24.6, "elapsed_time": "0:30:00", "remaining_time": "1:31:56"} | |
| {"current_steps": 32, "total_steps": 126, "loss": 0.6601696610450745, "lr": 9.386879987952549e-06, "epoch": 0.7710843373493976, "percentage": 25.4, "elapsed_time": "0:30:55", "remaining_time": "1:30:51"} | |
| {"current_steps": 33, "total_steps": 126, "loss": 0.6518322229385376, "lr": 9.318496531946411e-06, "epoch": 0.7951807228915663, "percentage": 26.19, "elapsed_time": "0:31:44", "remaining_time": "1:29:27"} | |
| {"current_steps": 34, "total_steps": 126, "loss": 0.6187893152236938, "lr": 9.246775374701139e-06, "epoch": 0.8192771084337349, "percentage": 26.98, "elapsed_time": "0:32:40", "remaining_time": "1:28:24"} | |
| {"current_steps": 35, "total_steps": 126, "loss": 0.658621072769165, "lr": 9.171771948424138e-06, "epoch": 0.8433734939759037, "percentage": 27.78, "elapsed_time": "0:33:34", "remaining_time": "1:27:17"} | |
| {"current_steps": 36, "total_steps": 126, "loss": 0.6379672288894653, "lr": 9.093544222139338e-06, "epoch": 0.8674698795180723, "percentage": 28.57, "elapsed_time": "0:34:29", "remaining_time": "1:26:13"} | |
| {"current_steps": 37, "total_steps": 126, "loss": 0.6225579977035522, "lr": 9.012152656883824e-06, "epoch": 0.891566265060241, "percentage": 29.37, "elapsed_time": "0:35:24", "remaining_time": "1:25:11"} | |
| {"current_steps": 38, "total_steps": 126, "loss": 0.6457571387290955, "lr": 8.927660158978392e-06, "epoch": 0.9156626506024096, "percentage": 30.16, "elapsed_time": "0:36:20", "remaining_time": "1:24:10"} | |
| {"current_steps": 39, "total_steps": 126, "loss": 0.6348350048065186, "lr": 8.84013203140821e-06, "epoch": 0.9397590361445783, "percentage": 30.95, "elapsed_time": "0:37:31", "remaining_time": "1:23:42"} | |
| {"current_steps": 40, "total_steps": 126, "loss": 0.6299422979354858, "lr": 8.749635923351108e-06, "epoch": 0.963855421686747, "percentage": 31.75, "elapsed_time": "0:38:29", "remaining_time": "1:22:45"} | |
| {"current_steps": 41, "total_steps": 126, "loss": 0.6204656958580017, "lr": 8.656241777892544e-06, "epoch": 0.9879518072289156, "percentage": 32.54, "elapsed_time": "0:39:32", "remaining_time": "1:21:59"} | |
| {"current_steps": 42, "total_steps": 126, "loss": 0.6175587177276611, "lr": 8.56002177796765e-06, "epoch": 1.0, "percentage": 33.33, "elapsed_time": "0:40:14", "remaining_time": "1:20:28"} | |
| {"current_steps": 43, "total_steps": 126, "loss": 0.5672452449798584, "lr": 8.461050290572114e-06, "epoch": 1.0240963855421688, "percentage": 34.13, "elapsed_time": "0:41:13", "remaining_time": "1:19:34"} | |
| {"current_steps": 44, "total_steps": 126, "loss": 0.5524355173110962, "lr": 8.359403809285054e-06, "epoch": 1.0481927710843373, "percentage": 34.92, "elapsed_time": "0:42:13", "remaining_time": "1:18:42"} | |
| {"current_steps": 45, "total_steps": 126, "loss": 0.5549112558364868, "lr": 8.255160895148263e-06, "epoch": 1.072289156626506, "percentage": 35.71, "elapsed_time": "0:43:12", "remaining_time": "1:17:46"} | |
| {"current_steps": 46, "total_steps": 126, "loss": 0.5633288025856018, "lr": 8.14840211594757e-06, "epoch": 1.0963855421686748, "percentage": 36.51, "elapsed_time": "0:44:02", "remaining_time": "1:16:35"} | |
| {"current_steps": 47, "total_steps": 126, "loss": 0.5377108454704285, "lr": 8.039209983943201e-06, "epoch": 1.1204819277108433, "percentage": 37.3, "elapsed_time": "0:44:52", "remaining_time": "1:15:25"} | |
| {"current_steps": 48, "total_steps": 126, "loss": 0.528072714805603, "lr": 7.927668892097288e-06, "epoch": 1.144578313253012, "percentage": 38.1, "elapsed_time": "0:45:53", "remaining_time": "1:14:35"} | |
| {"current_steps": 49, "total_steps": 126, "loss": 0.5457364916801453, "lr": 7.81386504884782e-06, "epoch": 1.1686746987951806, "percentage": 38.89, "elapsed_time": "0:46:43", "remaining_time": "1:13:25"} | |
| {"current_steps": 50, "total_steps": 126, "loss": 0.5646842122077942, "lr": 7.697886411479422e-06, "epoch": 1.1927710843373494, "percentage": 39.68, "elapsed_time": "0:47:43", "remaining_time": "1:12:32"} | |
| {"current_steps": 51, "total_steps": 126, "loss": 0.5383089184761047, "lr": 7.579822618142505e-06, "epoch": 1.216867469879518, "percentage": 40.48, "elapsed_time": "0:48:40", "remaining_time": "1:11:35"} | |
| {"current_steps": 52, "total_steps": 126, "loss": 0.5594577193260193, "lr": 7.459764918573264e-06, "epoch": 1.2409638554216866, "percentage": 41.27, "elapsed_time": "0:49:39", "remaining_time": "1:10:40"} | |
| {"current_steps": 53, "total_steps": 126, "loss": 0.5535856485366821, "lr": 7.3378061035681415e-06, "epoch": 1.2650602409638554, "percentage": 42.06, "elapsed_time": "0:50:34", "remaining_time": "1:09:39"} | |
| {"current_steps": 54, "total_steps": 126, "loss": 0.548930823802948, "lr": 7.2140404332671986e-06, "epoch": 1.2891566265060241, "percentage": 42.86, "elapsed_time": "0:51:39", "remaining_time": "1:08:52"} | |
| {"current_steps": 55, "total_steps": 126, "loss": 0.5701431035995483, "lr": 7.088563564301874e-06, "epoch": 1.3132530120481927, "percentage": 43.65, "elapsed_time": "0:52:31", "remaining_time": "1:07:48"} | |
| {"current_steps": 56, "total_steps": 126, "loss": 0.5484758019447327, "lr": 6.961472475863406e-06, "epoch": 1.3373493975903614, "percentage": 44.44, "elapsed_time": "0:53:30", "remaining_time": "1:06:53"} | |
| {"current_steps": 57, "total_steps": 126, "loss": 0.537543773651123, "lr": 6.832865394749065e-06, "epoch": 1.3614457831325302, "percentage": 45.24, "elapsed_time": "0:54:24", "remaining_time": "1:05:51"} | |
| {"current_steps": 58, "total_steps": 126, "loss": 0.5397295951843262, "lr": 6.702841719444141e-06, "epoch": 1.3855421686746987, "percentage": 46.03, "elapsed_time": "0:55:21", "remaining_time": "1:04:53"} | |
| {"current_steps": 59, "total_steps": 126, "loss": 0.5047672390937805, "lr": 6.571501943298335e-06, "epoch": 1.4096385542168675, "percentage": 46.83, "elapsed_time": "0:56:23", "remaining_time": "1:04:02"} | |
| {"current_steps": 60, "total_steps": 126, "loss": 0.5339192152023315, "lr": 6.4389475768559675e-06, "epoch": 1.4337349397590362, "percentage": 47.62, "elapsed_time": "0:57:17", "remaining_time": "1:03:01"} | |
| {"current_steps": 61, "total_steps": 126, "loss": 0.5370104312896729, "lr": 6.305281069399989e-06, "epoch": 1.4578313253012047, "percentage": 48.41, "elapsed_time": "0:58:16", "remaining_time": "1:02:05"} | |
| {"current_steps": 62, "total_steps": 126, "loss": 0.5109453201293945, "lr": 6.17060572977047e-06, "epoch": 1.4819277108433735, "percentage": 49.21, "elapsed_time": "0:59:20", "remaining_time": "1:01:15"} | |
| {"current_steps": 63, "total_steps": 126, "loss": 0.5215125679969788, "lr": 6.035025646518747e-06, "epoch": 1.5060240963855422, "percentage": 50.0, "elapsed_time": "1:00:24", "remaining_time": "1:00:24"} | |
| {"current_steps": 64, "total_steps": 126, "loss": 0.55159592628479, "lr": 5.898645607458941e-06, "epoch": 1.5301204819277108, "percentage": 50.79, "elapsed_time": "1:01:22", "remaining_time": "0:59:27"} | |
| {"current_steps": 65, "total_steps": 126, "loss": 0.5137174129486084, "lr": 5.761571018679025e-06, "epoch": 1.5542168674698795, "percentage": 51.59, "elapsed_time": "1:02:14", "remaining_time": "0:58:24"} | |
| {"current_steps": 66, "total_steps": 126, "loss": 0.5257411003112793, "lr": 5.623907823074044e-06, "epoch": 1.5783132530120483, "percentage": 52.38, "elapsed_time": "1:03:11", "remaining_time": "0:57:26"} | |
| {"current_steps": 67, "total_steps": 126, "loss": 0.5619932413101196, "lr": 5.48576241846443e-06, "epoch": 1.6024096385542168, "percentage": 53.17, "elapsed_time": "1:04:01", "remaining_time": "0:56:23"} | |
| {"current_steps": 68, "total_steps": 126, "loss": 0.5350067019462585, "lr": 5.347241575362729e-06, "epoch": 1.6265060240963856, "percentage": 53.97, "elapsed_time": "1:04:50", "remaining_time": "0:55:18"} | |
| {"current_steps": 69, "total_steps": 126, "loss": 0.544854998588562, "lr": 5.208452354452275e-06, "epoch": 1.6506024096385543, "percentage": 54.76, "elapsed_time": "1:05:53", "remaining_time": "0:54:25"} | |
| {"current_steps": 70, "total_steps": 126, "loss": 0.5490104556083679, "lr": 5.069502023841576e-06, "epoch": 1.6746987951807228, "percentage": 55.56, "elapsed_time": "1:06:52", "remaining_time": "0:53:29"} | |
| {"current_steps": 71, "total_steps": 126, "loss": 0.4955199956893921, "lr": 4.9304979761584256e-06, "epoch": 1.6987951807228916, "percentage": 56.35, "elapsed_time": "1:07:55", "remaining_time": "0:52:37"} | |
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