Instructions to use Fortytwo-Network/Strand-Rust-Coder-14B-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Fortytwo-Network/Strand-Rust-Coder-14B-v1 with Transformers:

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

pipe = pipeline("text-generation", model="Fortytwo-Network/Strand-Rust-Coder-14B-v1")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Fortytwo-Network/Strand-Rust-Coder-14B-v1")
model = AutoModelForCausalLM.from_pretrained("Fortytwo-Network/Strand-Rust-Coder-14B-v1")
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

vLLM

How to use Fortytwo-Network/Strand-Rust-Coder-14B-v1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Fortytwo-Network/Strand-Rust-Coder-14B-v1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Fortytwo-Network/Strand-Rust-Coder-14B-v1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Fortytwo-Network/Strand-Rust-Coder-14B-v1

SGLang

How to use Fortytwo-Network/Strand-Rust-Coder-14B-v1 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 "Fortytwo-Network/Strand-Rust-Coder-14B-v1" \
    --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": "Fortytwo-Network/Strand-Rust-Coder-14B-v1",
		"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 "Fortytwo-Network/Strand-Rust-Coder-14B-v1" \
        --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": "Fortytwo-Network/Strand-Rust-Coder-14B-v1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Fortytwo-Network/Strand-Rust-Coder-14B-v1 with Docker Model Runner:
```
docker model run hf.co/Fortytwo-Network/Strand-Rust-Coder-14B-v1
```

vishesh-t27 commited on Oct 15, 2025

Commit

e297e60

verified ·

1 Parent(s): d8134e8

Updated System Prompt

Browse files

Files changed (1) hide show

chat_template.jinja +2 -2

chat_template.jinja CHANGED Viewed

@@ -3,7 +3,7 @@
     {%- if messages[0]['role'] == 'system' %}
         {{- messages[0]['content'] }}
     {%- else %}
-        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
     {%- endif %}
     {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
     {%- for tool in tools %}
@@ -15,7 +15,7 @@
     {%- if messages[0]['role'] == 'system' %}
         {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
     {%- else %}
-        {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
     {%- endif %}
 {%- endif %}
 {%- for message in messages %}

     {%- if messages[0]['role'] == 'system' %}
         {{- messages[0]['content'] }}
     {%- else %}
+        {{- 'You are an expert in Rust programming language.' }}
     {%- endif %}
     {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
     {%- for tool in tools %}
     {%- if messages[0]['role'] == 'system' %}
         {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
     {%- else %}
+        {{- '<|im_start|>system\nYou are an expert in Rust programming language.<|im_end|>\n' }}
     {%- endif %}
 {%- endif %}
 {%- for message in messages %}