Text Generation
Transformers
Safetensors
Turkish
English
syko
causal-lm
custom-architecture
turkish
code
from-scratch
Instructions to use SykoSLM/SykoLLM-V5.4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SykoSLM/SykoLLM-V5.4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="SykoSLM/SykoLLM-V5.4")# Load model directly from transformers import SykoCausalLM model = SykoCausalLM.from_pretrained("SykoSLM/SykoLLM-V5.4", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use SykoSLM/SykoLLM-V5.4 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "SykoSLM/SykoLLM-V5.4" # 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-V5.4", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/SykoSLM/SykoLLM-V5.4
- SGLang
How to use SykoSLM/SykoLLM-V5.4 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-V5.4" \ --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-V5.4", "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-V5.4" \ --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-V5.4", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use SykoSLM/SykoLLM-V5.4 with Docker Model Runner:
docker model run hf.co/SykoSLM/SykoLLM-V5.4
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README.md
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@@ -85,6 +85,14 @@ Eğitim verisinin 100K örneği üzerinde eğitilmiş özel BPE tokenizer.
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## Kullanım
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```python
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## Kurulum Öncesi Hazırlık
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Syko mimarisi Transformers'a kayıtlı olmadığı için, modeli çalıştırmak kendi özel kütüphanemi indirmeniz gerekmektedir. Kütüphane şu:
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`!pip install syko-llm`
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## Kullanım
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```python
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