Text Generation
Transformers
Safetensors
Turkish
English
phi3
nlp
code
depth-up-scaling
untrained
text-generation-inference
Instructions to use SykoSLM/SykoLLM-V6.0-Test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SykoSLM/SykoLLM-V6.0-Test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="SykoSLM/SykoLLM-V6.0-Test")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("SykoSLM/SykoLLM-V6.0-Test") model = AutoModelForCausalLM.from_pretrained("SykoSLM/SykoLLM-V6.0-Test") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use SykoSLM/SykoLLM-V6.0-Test with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "SykoSLM/SykoLLM-V6.0-Test" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SykoSLM/SykoLLM-V6.0-Test", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/SykoSLM/SykoLLM-V6.0-Test
- SGLang
How to use SykoSLM/SykoLLM-V6.0-Test 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 "SykoSLM/SykoLLM-V6.0-Test" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SykoSLM/SykoLLM-V6.0-Test", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'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 "SykoSLM/SykoLLM-V6.0-Test" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SykoSLM/SykoLLM-V6.0-Test", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use SykoSLM/SykoLLM-V6.0-Test with Docker Model Runner:
docker model run hf.co/SykoSLM/SykoLLM-V6.0-Test
| { | |
| "architectures": [ | |
| "Phi3ForCausalLM" | |
| ], | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 0, | |
| "dtype": "float16", | |
| "embd_pdrop": 0.0, | |
| "eos_token_id": 0, | |
| "hidden_act": "silu", | |
| "hidden_size": 1024, | |
| "ignore_keys_at_rope_validation": null, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "max_position_embeddings": 1024, | |
| "model_type": "phi3", | |
| "num_attention_heads": 8, | |
| "num_hidden_layers": 24, | |
| "num_key_value_heads": 2, | |
| "original_max_position_embeddings": 4096, | |
| "pad_token_id": 4, | |
| "partial_rotary_factor": 1.0, | |
| "resid_pdrop": 0.0, | |
| "rms_norm_eps": 1e-05, | |
| "rope_parameters": { | |
| "partial_rotary_factor": 1.0, | |
| "rope_theta": 10000.0, | |
| "rope_type": "default" | |
| }, | |
| "sliding_window": null, | |
| "tie_word_embeddings": false, | |
| "transformers_version": "5.0.0", | |
| "use_cache": false, | |
| "vocab_size": 50000 | |
| } | |