Instructions to use PARTAGES-dev/Qwen3-4B-PDAPT-SLERP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use PARTAGES-dev/Qwen3-4B-PDAPT-SLERP with Transformers:

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

pipe = pipeline("text-generation", model="PARTAGES-dev/Qwen3-4B-PDAPT-SLERP")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("PARTAGES-dev/Qwen3-4B-PDAPT-SLERP")
model = AutoModelForCausalLM.from_pretrained("PARTAGES-dev/Qwen3-4B-PDAPT-SLERP")
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=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use PARTAGES-dev/Qwen3-4B-PDAPT-SLERP with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "PARTAGES-dev/Qwen3-4B-PDAPT-SLERP"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "PARTAGES-dev/Qwen3-4B-PDAPT-SLERP",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/PARTAGES-dev/Qwen3-4B-PDAPT-SLERP

SGLang

How to use PARTAGES-dev/Qwen3-4B-PDAPT-SLERP 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 "PARTAGES-dev/Qwen3-4B-PDAPT-SLERP" \
    --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": "PARTAGES-dev/Qwen3-4B-PDAPT-SLERP",
		"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 "PARTAGES-dev/Qwen3-4B-PDAPT-SLERP" \
        --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": "PARTAGES-dev/Qwen3-4B-PDAPT-SLERP",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use PARTAGES-dev/Qwen3-4B-PDAPT-SLERP with Docker Model Runner:
```
docker model run hf.co/PARTAGES-dev/Qwen3-4B-PDAPT-SLERP
```

a-mannion commited on Dec 3, 2025

Commit

81941b5

verified ·

1 Parent(s): 1addcf8

Update README.md

Browse files

Files changed (1) hide show

README.md +6 -6

README.md CHANGED Viewed

@@ -6,7 +6,7 @@ tags:
 - merge
 ---
-# Qwen3-4B-Base-PARTAGES-v2-2160-slerp-25-10-20-16-22
 This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
@@ -18,8 +18,8 @@ This model was merged using the [SLERP](https://en.wikipedia.org/wiki/Slerp) mer
 ### Models Merged
 The following models were included in the merge:
-* /home/mrim/manniona/partages/models/hf-dl/Qwen/Qwen3-4B-Base
-* /home/mrim/manniona/partages/models/share/Qwen3-4B-Base-PARTAGES-v2-2160
 ### Configuration
@@ -28,12 +28,12 @@ The following YAML configuration was used to produce this model:
 ```yaml
 slices:
   - sources:
-    - model: /home/mrim/manniona/partages/models/hf-dl/Qwen/Qwen3-4B-Base
       layer_range: [0, 36]
-    - model: /home/mrim/manniona/partages/models/share/Qwen3-4B-Base-PARTAGES-v2-2160
       layer_range: [0, 36]
 merge_method: slerp
-base_model: /home/mrim/manniona/partages/models/hf-dl/Qwen/Qwen3-4B-Base
 parameters:
   t:
     - value: 0.5

 - merge
 ---
+# Qwen3-4B-PDAPT-SLERP
 This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
 ### Models Merged
 The following models were included in the merge:
+* Qwen/Qwen3-4B-Base
+* Qwen3-4B-Base-PARTAGES-v2-1440
 ### Configuration
 ```yaml
 slices:
   - sources:
+    - model: Qwen/Qwen3-4B-Base
       layer_range: [0, 36]
+    - model: [ANON]
       layer_range: [0, 36]
 merge_method: slerp
+base_model: Qwen/Qwen3-4B-Base
 parameters:
   t:
     - value: 0.5