Instructions to use Writer/palmyra-mini-thinking-a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Writer/palmyra-mini-thinking-a with Transformers:

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

pipe = pipeline("text-generation", model="Writer/palmyra-mini-thinking-a")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

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

tokenizer = AutoTokenizer.from_pretrained("Writer/palmyra-mini-thinking-a")
model = AutoModelForCausalLM.from_pretrained("Writer/palmyra-mini-thinking-a", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Writer/palmyra-mini-thinking-a with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Writer/palmyra-mini-thinking-a"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Writer/palmyra-mini-thinking-a",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Writer/palmyra-mini-thinking-a

SGLang

How to use Writer/palmyra-mini-thinking-a 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 "Writer/palmyra-mini-thinking-a" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Writer/palmyra-mini-thinking-a",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "Writer/palmyra-mini-thinking-a" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Writer/palmyra-mini-thinking-a",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Writer/palmyra-mini-thinking-a with Docker Model Runner:
```
docker model run hf.co/Writer/palmyra-mini-thinking-a
```

tperes commited on Sep 11, 2025

Commit

6883aa8

verified ·

1 Parent(s): 37c42d8

Update README.md

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Files changed (1) hide show

README.md +28 -6

README.md CHANGED Viewed

@@ -15,13 +15,13 @@ language:
 # Model: palmyra-mini-thinking-a
-## Model Details
-**Model Name:** palmyra-mini-thinking-a
-**Version:** 1.0
-**Type:** Generative AI Language Model
 ## Model Description
@@ -106,6 +106,28 @@ output_text = tokenizer.decode(output_id[0][input_ids.shape[1] :])
 print(output_text)
 ```
 ## Ethical Considerations

 # Model: palmyra-mini-thinking-a
+### Model Description
+- **Language(s) (NLP):** English
+- **License:** Apache-2.0
+- **Finetuned from model:** Qwen/Qwen2.5-1.5B
+- **Context window:** 131,072 tokens
+- **Parameters:** 1.7 billion
 ## Model Description
 print(output_text)
 ```
+## curl Instructions
+```py
+curl -X POST http://localhost:8000/v1/chat/completions \
+  -H "Content-Type: application/json" \
+  -d '{
+    "model": "Writer/palmyra-mini-thinking-a",
+    "messages": [
+      {
+        "role": "user",
+        "content": "You have a 3-liter jug and a 5-liter jug. How can you measure exactly 4 liters of water?"
+      }
+    ],
+    "max_tokens": 8000,
+    "temperature": 0.2
+  }'
+```
+## VLLM Inference
+```py
+vllm serve Writer/palmyra-mini-thinking-a
+```
 ## Ethical Considerations