Instructions to use razielAI/Duchifat-2.1-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use razielAI/Duchifat-2.1-Instruct with Transformers:

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

pipe = pipeline("text-generation", model="razielAI/Duchifat-2.1-Instruct", trust_remote_code=True)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("razielAI/Duchifat-2.1-Instruct", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use razielAI/Duchifat-2.1-Instruct with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "razielAI/Duchifat-2.1-Instruct"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "razielAI/Duchifat-2.1-Instruct",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/razielAI/Duchifat-2.1-Instruct

SGLang

How to use razielAI/Duchifat-2.1-Instruct 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 "razielAI/Duchifat-2.1-Instruct" \
    --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": "razielAI/Duchifat-2.1-Instruct",
		"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 "razielAI/Duchifat-2.1-Instruct" \
        --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": "razielAI/Duchifat-2.1-Instruct",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use razielAI/Duchifat-2.1-Instruct with Docker Model Runner:
```
docker model run hf.co/razielAI/Duchifat-2.1-Instruct
```

Duchifat-2.1-Instruct / config.json

razielAI

Initial upload of Duchifat-2.1-Instruct

14d8f84 verified about 2 months ago

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	{
	"architectures": [
	"DuchifatCore"
	],
	"auto_map": {
	"AutoConfig": "configuration_duchifat_v2.DuchifatConfig",
	"AutoModelForCausalLM": "modeling_duchifat_v2.DuchifatCore"
	},
	"dtype": "bfloat16",
	"hidden_size": 768,
	"max_seq": 1024,
	"model_type": "duchifat_v2",
	"nhead": 12,
	"num_layers": 12,
	"transformers_version": "5.0.0",
	"vocab_size": 33152
	}