Instructions to use Rohithoctacter/pheonix41 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Rohithoctacter/pheonix41 with Transformers:

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

pipe = pipeline("text-generation", model="Rohithoctacter/pheonix41")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Rohithoctacter/pheonix41")
model = AutoModelForCausalLM.from_pretrained("Rohithoctacter/pheonix41", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Rohithoctacter/pheonix41 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Rohithoctacter/pheonix41"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Rohithoctacter/pheonix41",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Rohithoctacter/pheonix41

SGLang

How to use Rohithoctacter/pheonix41 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 "Rohithoctacter/pheonix41" \
    --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": "Rohithoctacter/pheonix41",
		"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 "Rohithoctacter/pheonix41" \
        --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": "Rohithoctacter/pheonix41",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Rohithoctacter/pheonix41 with Docker Model Runner:
```
docker model run hf.co/Rohithoctacter/pheonix41
```

pheonix41

Commit History

Upload tokenizer

98f5b2d
verified

Tonyshah commited on Mar 9, 2025

Upload MistralForCausalLM

fe9a469
verified

Tonyshah commited on Mar 9, 2025

initial commit

67cf7fb
verified

Tonyshah commited on Mar 9, 2025

Commit History

Upload tokenizer 98f5b2d verified

Upload MistralForCausalLM fe9a469 verified

initial commit 67cf7fb verified

Upload tokenizer

98f5b2d
verified

Upload MistralForCausalLM

fe9a469
verified

initial commit

67cf7fb
verified