Instructions to use AlignmentResearch/willow_v14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AlignmentResearch/willow_v14 with Transformers:

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

pipe = pipeline("text-generation", model="AlignmentResearch/willow_v14")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("AlignmentResearch/willow_v14")
model = AutoModelForCausalLM.from_pretrained("AlignmentResearch/willow_v14")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use AlignmentResearch/willow_v14 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "AlignmentResearch/willow_v14"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "AlignmentResearch/willow_v14",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/AlignmentResearch/willow_v14

SGLang

How to use AlignmentResearch/willow_v14 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 "AlignmentResearch/willow_v14" \
    --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": "AlignmentResearch/willow_v14",
		"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 "AlignmentResearch/willow_v14" \
        --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": "AlignmentResearch/willow_v14",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use AlignmentResearch/willow_v14 with Docker Model Runner:
```
docker model run hf.co/AlignmentResearch/willow_v14
```

chrisjcundy commited on Aug 27, 2025

Commit

954c278

verified ·

1 Parent(s): c87efa4

Upload LlamaForCausalLM

Browse files

Files changed (2) hide show

config.json +1 -1
generation_config.json +1 -1

config.json CHANGED Viewed

@@ -33,7 +33,7 @@
   "rope_theta": 500000.0,
   "tie_word_embeddings": false,
   "torch_dtype": "float32",
-  "transformers_version": "4.55.4",
   "use_cache": true,
   "vocab_size": 128256
 }

   "rope_theta": 500000.0,
   "tie_word_embeddings": false,
   "torch_dtype": "float32",
+  "transformers_version": "4.54.1",
   "use_cache": true,
   "vocab_size": 128256
 }

generation_config.json CHANGED Viewed

@@ -8,5 +8,5 @@
   ],
   "temperature": 0.6,
   "top_p": 0.9,
-  "transformers_version": "4.55.4"
 }

   ],
   "temperature": 0.6,
   "top_p": 0.9,
+  "transformers_version": "4.54.1"
 }