Instructions to use SykoSLM/SykoLLM-Phi3-Test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use SykoSLM/SykoLLM-Phi3-Test with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="SykoSLM/SykoLLM-Phi3-Test")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("SykoSLM/SykoLLM-Phi3-Test")
model = AutoModelForCausalLM.from_pretrained("SykoSLM/SykoLLM-Phi3-Test", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use SykoSLM/SykoLLM-Phi3-Test with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "SykoSLM/SykoLLM-Phi3-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-Phi3-Test",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/SykoSLM/SykoLLM-Phi3-Test

SGLang

How to use SykoSLM/SykoLLM-Phi3-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-Phi3-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-Phi3-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-Phi3-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-Phi3-Test",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use SykoSLM/SykoLLM-Phi3-Test with Docker Model Runner:
```
docker model run hf.co/SykoSLM/SykoLLM-Phi3-Test
```

burak commited on Mar 4

Commit

923afc6

verified ·

1 Parent(s): dccf77b

Update README.md

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README.md +15 -16

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@@ -1,26 +1,25 @@
 ---
 license: apache-2.0
 language:
-  - tr
-  - en
 pipeline_tag: text-generation
 library_name: transformers
 tags:
-  - phi-3
-  - text-generation
-  - causal-lm
-  - custom-tokenizer
-  - experimental
-  - from-scratch
 datasets:
-  - uonlp/CulturaX
-  - HuggingFaceTB/cosmopedia
-  - roneneldan/TinyStories
-  - nampdn-ai/tiny-textbooks
-  - nampdn-ai/tiny-codes
-  - ise-uiuc/Magicoder-Evol-Instruct-110K
-  - theblackcat102/evol-codealpaca-v1
-  - turkish-nlp-suite/InstrucTurca
 ---
 # SykoLLM Phi-3 Mini (233M) - Experimental

 ---
 license: apache-2.0
 language:
+- tr
+- en
 pipeline_tag: text-generation
 library_name: transformers
 tags:
+- text-generation
+- causal-lm
+- custom-tokenizer
+- experimental
+- from-scratch
 datasets:
+- uonlp/CulturaX
+- HuggingFaceTB/cosmopedia
+- roneneldan/TinyStories
+- nampdn-ai/tiny-textbooks
+- nampdn-ai/tiny-codes
+- ise-uiuc/Magicoder-Evol-Instruct-110K
+- theblackcat102/evol-codealpaca-v1
+- turkish-nlp-suite/InstrucTurca
 ---
 # SykoLLM Phi-3 Mini (233M) - Experimental