Instructions to use ThingAI/Quark-270m-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ThingAI/Quark-270m-Base with Transformers:

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

pipe = pipeline("text-generation", model="ThingAI/Quark-270m-Base", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("ThingAI/Quark-270m-Base", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use ThingAI/Quark-270m-Base with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ThingAI/Quark-270m-Base"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ThingAI/Quark-270m-Base",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/ThingAI/Quark-270m-Base

SGLang

How to use ThingAI/Quark-270m-Base 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 "ThingAI/Quark-270m-Base" \
    --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": "ThingAI/Quark-270m-Base",
		"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 "ThingAI/Quark-270m-Base" \
        --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": "ThingAI/Quark-270m-Base",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use ThingAI/Quark-270m-Base with Docker Model Runner:
```
docker model run hf.co/ThingAI/Quark-270m-Base
```

ThingsAI commited on Jun 6

Commit

aef7e9d

verified ·

1 Parent(s): dad06f8

Upload 5 files

Browse files

Files changed (5) hide show

chat_template.jinja +8 -0
config.json +26 -0
model.safetensors +3 -0
tokenizer.json +0 -0
tokenizer_config.json +19 -0

chat_template.jinja ADDED Viewed

	@@ -0,0 +1,8 @@

+{% for message in messages %}{% if message['role'] == 'system' %}<|system|>
+{{ message['content'] }}
+{% elif message['role'] == 'user' %}<|user|>
+{{ message['content'] }}
+{% elif message['role'] == 'assistant' %}<|assistant|>
+{{ message['content'] }}{% if not loop.last %}
+{% endif %}{% endif %}{% endfor %}{% if messages[-1]['role'] != 'assistant' %}<|assistant|>
+{% endif %}

config.json ADDED Viewed

	@@ -0,0 +1,26 @@

+{
+  "model_type": "quark",
+  "architectures": [
+    "QuarkForCausalLM"
+  ],
+  "auto_map": {
+    "AutoConfig": "configuration_quark.QuarkConfig",
+    "AutoModelForCausalLM": "modeling_quark.QuarkForCausalLM"
+  },
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "pretrain_step": 16000,
+  "pretrain_loss": 4.5235,
+  "vocab_size": 65536,
+  "d_model": 768,
+  "n_heads": 12,
+  "n_kv_heads": 4,
+  "n_layers": 32,
+  "d_ff": 2048,
+  "head_dim": 64,
+  "max_seq_len": 2048,
+  "rope_theta": 10000.0,
+  "rms_eps": 1e-05,
+  "qkv_bias": true,
+  "dropout": 0.0
+}

model.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:1c95f6f6fa19acd21f62e96b026058d5c5db0c9b6c4b40dc8c2e2bffb3defa34
+size 503537024

tokenizer.json ADDED Viewed

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

tokenizer_config.json ADDED Viewed

	@@ -0,0 +1,19 @@

+{
+  "backend": "tokenizers",
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "created_by": "OvercastLab",
+  "description": "Quark bilingual EN+IT tokenizer — BPE byte-level 65536 vocab",
+  "eos_token": "</s>",
+  "is_local": false,
+  "languages": [
+    "en",
+    "it"
+  ],
+  "local_files_only": false,
+  "model_max_length": 2048,
+  "pad_token": "<pad>",
+  "padding_side": "right",
+  "tokenizer_class": "TokenizersBackend",
+  "unk_token": "<unk>"
+}