Instructions to use trl-internal-testing/tiny-DeepseekV4ForCausalLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use trl-internal-testing/tiny-DeepseekV4ForCausalLM with Transformers:

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

pipe = pipeline("text-generation", model="trl-internal-testing/tiny-DeepseekV4ForCausalLM")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("trl-internal-testing/tiny-DeepseekV4ForCausalLM")
model = AutoModelForCausalLM.from_pretrained("trl-internal-testing/tiny-DeepseekV4ForCausalLM")
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]:]))

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use trl-internal-testing/tiny-DeepseekV4ForCausalLM with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "trl-internal-testing/tiny-DeepseekV4ForCausalLM"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "trl-internal-testing/tiny-DeepseekV4ForCausalLM",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/trl-internal-testing/tiny-DeepseekV4ForCausalLM

SGLang

How to use trl-internal-testing/tiny-DeepseekV4ForCausalLM 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 "trl-internal-testing/tiny-DeepseekV4ForCausalLM" \
    --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": "trl-internal-testing/tiny-DeepseekV4ForCausalLM",
		"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 "trl-internal-testing/tiny-DeepseekV4ForCausalLM" \
        --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": "trl-internal-testing/tiny-DeepseekV4ForCausalLM",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use trl-internal-testing/tiny-DeepseekV4ForCausalLM with Docker Model Runner:
```
docker model run hf.co/trl-internal-testing/tiny-DeepseekV4ForCausalLM
```

qgallouedec HF Staff commited on Apr 24

Commit

47d18ad

verified ·

1 Parent(s): 5db63c1

Update chat_template.jinja

Browse files

Files changed (1) hide show

chat_template.jinja +2 -2

chat_template.jinja CHANGED Viewed

@@ -142,7 +142,7 @@
     {%- elif msg.role == "assistant" -%}
         {%- set rc = msg.get("reasoning_content", "") or "" -%}
-        {%- if (thinking_mode == "thinking") and (not prev_has_task) and ((not effective_drop) or idx > fns.lu_idx) -%}
             {{- rc -}}{{- "</think>" -}}
         {%- endif -%}
         {{- msg.get("content", "") or "" -}}
@@ -190,7 +190,7 @@
     {%- elif need_transition and (msg.role == "user" or msg.role == "developer") and not (is_last and not add_generation_prompt) -%}
         {{- "<｜Assistant｜>" -}}
         {%- if thinking_mode == "thinking" -%}
-            {{- "<think>" if (not effective_drop) or idx >= fns.lu_idx else "</think>" -}}
         {%- else -%}
             {{- "</think>" -}}
         {%- endif -%}

     {%- elif msg.role == "assistant" -%}
         {%- set rc = msg.get("reasoning_content", "") or "" -%}
+        {%- if (thinking_mode == "thinking") and (not prev_has_task) -%}
             {{- rc -}}{{- "</think>" -}}
         {%- endif -%}
         {{- msg.get("content", "") or "" -}}
     {%- elif need_transition and (msg.role == "user" or msg.role == "developer") and not (is_last and not add_generation_prompt) -%}
         {{- "<｜Assistant｜>" -}}
         {%- if thinking_mode == "thinking" -%}
+            {{- "<think>" -}}
         {%- else -%}
             {{- "</think>" -}}
         {%- endif -%}