Instructions to use cs-552-2026-clankers-builder/multilingual_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use cs-552-2026-clankers-builder/multilingual_model with PEFT:

from peft import PeftModel
from transformers import AutoModelForCausalLM

base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-1.7B")
model = PeftModel.from_pretrained(base_model, "cs-552-2026-clankers-builder/multilingual_model")

Transformers

How to use cs-552-2026-clankers-builder/multilingual_model with Transformers:

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

pipe = pipeline("text-generation", model="cs-552-2026-clankers-builder/multilingual_model")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("cs-552-2026-clankers-builder/multilingual_model")
model = AutoModelForCausalLM.from_pretrained("cs-552-2026-clankers-builder/multilingual_model")
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 Settings

vLLM

How to use cs-552-2026-clankers-builder/multilingual_model with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "cs-552-2026-clankers-builder/multilingual_model"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "cs-552-2026-clankers-builder/multilingual_model",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/cs-552-2026-clankers-builder/multilingual_model

SGLang

How to use cs-552-2026-clankers-builder/multilingual_model 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 "cs-552-2026-clankers-builder/multilingual_model" \
    --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": "cs-552-2026-clankers-builder/multilingual_model",
		"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 "cs-552-2026-clankers-builder/multilingual_model" \
        --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": "cs-552-2026-clankers-builder/multilingual_model",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use cs-552-2026-clankers-builder/multilingual_model with Docker Model Runner:
```
docker model run hf.co/cs-552-2026-clankers-builder/multilingual_model
```

Adrien404 commited on 8 days ago

Commit

ff2bfe9

verified ·

1 Parent(s): 8ecb019

Upload folder using huggingface_hub

Browse files

Files changed (8) hide show

chat_template.jinja +5 -1
model.safetensors +1 -1
optimizer.pt +1 -1
rng_state.pth +1 -1
scheduler.pt +1 -1
tokenizer_config.json +6 -2
trainer_state.json +0 -0
training_args.bin +2 -2

chat_template.jinja CHANGED Viewed

@@ -11,7 +11,9 @@
     {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
 {%- else %}
     {%- if messages[0].role == 'system' %}
-        {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
     {%- endif %}
 {%- endif %}
 {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
@@ -85,5 +87,7 @@
     {{- '<|im_start|>assistant\n' }}
     {%- if enable_thinking is defined and enable_thinking is false %}
         {{- '<think>\n\n</think>\n\n' }}
     {%- endif %}
 {%- endif %}

     {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
 {%- else %}
     {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0].content + '\nPlease reason step by step, and put your final answer within \\boxed{}.<|im_end|>\n' }}
+    {%- else %}
+        {{- '<|im_start|>system\nPlease reason step by step, and put your final answer within \\boxed{}.<|im_end|>\n' }}
     {%- endif %}
 {%- endif %}
 {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
     {{- '<|im_start|>assistant\n' }}
     {%- if enable_thinking is defined and enable_thinking is false %}
         {{- '<think>\n\n</think>\n\n' }}
+    {%- else %}
+        {{- '<think>\n' }}
     {%- endif %}
 {%- endif %}

model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b47e691841337ab5ed1914e08396551dedd0e845e3d3f1bdb57b53481e89c528
 size 3441185608

 version https://git-lfs.github.com/spec/v1
+oid sha256:b114739458777294e068da1dd6bbc8ef7e8320c4e3457f491cd4bd609718c5a7
 size 3441185608

optimizer.pt CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2ff6aabe4d9aa1dcfa7641010fd393d26d7bc0a3fba1bea8e022e55420feb9e8
 size 6882572207

 version https://git-lfs.github.com/spec/v1
+oid sha256:df1c31e1ba1362ab84c3687f864ec07cb6c9479c4792a7862a9589e0762b5a83
 size 6882572207

rng_state.pth CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:01f9a0f7843a37be87edd23f4e88aa93b38b95cc2c07503eeb1cf2e4632453a2
 size 14645

 version https://git-lfs.github.com/spec/v1
+oid sha256:bf0c9dbd64fad4e00ce3797d090b4917df0950c4f4361040b226cc75c8db1838
 size 14645

scheduler.pt CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ee29e18a30bb652dc363f401471c9b626bb26590063c01eb641fbd502bb9c85c
 size 1465

 version https://git-lfs.github.com/spec/v1
+oid sha256:30e0c06a57eee8dc58c1f299af2e1f878bc92858d1ddf8a5ba1fc76a240f3e39
 size 1465

tokenizer_config.json CHANGED Viewed

@@ -20,11 +20,15 @@
     "<|image_pad|>",
     "<|video_pad|>"
   ],
-  "is_local": false,
-  "local_files_only": false,
   "model_max_length": 2048,
   "pad_token": "<|endoftext|>",
   "split_special_tokens": false,
   "tokenizer_class": "Qwen2Tokenizer",
   "unk_token": null
 }

     "<|image_pad|>",
     "<|video_pad|>"
   ],
+  "is_local": true,
+  "local_files_only": true,
+  "max_length": 2048,
   "model_max_length": 2048,
   "pad_token": "<|endoftext|>",
   "split_special_tokens": false,
+  "stride": 0,
   "tokenizer_class": "Qwen2Tokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
   "unk_token": null
 }

trainer_state.json CHANGED Viewed

The diff for this file is too large to render. See raw diff

training_args.bin CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c8d2e023ac9537f08e9a1af7850485af7adfb42a5d8e0127dbbe6aa99abbb307
-size 5777

 version https://git-lfs.github.com/spec/v1
+oid sha256:76434fd4764b71251e7fd3563195a80f8320bde94cda847ab30c1147e4bb0a2d
+size 7313