Instructions to use hxyscott/quick-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use hxyscott/quick-test with Transformers:

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

pipe = pipeline("text-generation", model="hxyscott/quick-test")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("hxyscott/quick-test")
model = AutoModelForCausalLM.from_pretrained("hxyscott/quick-test")
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 hxyscott/quick-test with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/hxyscott/quick-test

SGLang

How to use hxyscott/quick-test 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 "hxyscott/quick-test" \
    --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": "hxyscott/quick-test",
		"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 "hxyscott/quick-test" \
        --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": "hxyscott/quick-test",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Unsloth Studio new

How to use hxyscott/quick-test with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for hxyscott/quick-test to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for hxyscott/quick-test to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for hxyscott/quick-test to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="hxyscott/quick-test",
    max_seq_length=2048,
)

Docker Model Runner
How to use hxyscott/quick-test with Docker Model Runner:
```
docker model run hf.co/hxyscott/quick-test
```

hxyscott commited on May 25, 2025

Commit

90835e0

verified ·

1 Parent(s): daa4eb5

Trained with Unsloth

Browse files

Files changed (6) hide show

config.json +3 -8
generation_config.json +6 -1
model-00001-of-00004.safetensors +1 -1
model-00002-of-00004.safetensors +1 -1
model-00003-of-00004.safetensors +1 -1
model-00004-of-00004.safetensors +1 -1

config.json CHANGED Viewed

@@ -3,7 +3,6 @@
     "Qwen2ForCausalLM"
   ],
   "attention_dropout": 0.0,
-  "bos_token_id": 151643,
   "eos_token_id": 151645,
   "hidden_act": "silu",
   "hidden_size": 3584,
@@ -15,14 +14,10 @@
   "num_attention_heads": 28,
   "num_hidden_layers": 28,
   "num_key_value_heads": 4,
-  "pad_token_id": 151665,
   "rms_norm_eps": 1e-06,
-  "rope_scaling": {
-    "factor": 8.0,
-    "rope_type": "linear",
-    "type": "linear"
-  },
-  "rope_theta": 10000.0,
   "sliding_window": null,
   "tie_word_embeddings": false,
   "torch_dtype": "bfloat16",

     "Qwen2ForCausalLM"
   ],
   "attention_dropout": 0.0,
   "eos_token_id": 151645,
   "hidden_act": "silu",
   "hidden_size": 3584,
   "num_attention_heads": 28,
   "num_hidden_layers": 28,
   "num_key_value_heads": 4,
+  "pad_token_id": 151654,
   "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
   "sliding_window": null,
   "tie_word_embeddings": false,
   "torch_dtype": "bfloat16",

generation_config.json CHANGED Viewed

@@ -1,10 +1,15 @@
 {
   "bos_token_id": 151643,
   "eos_token_id": [
     151645,
     151643
   ],
   "max_length": 32768,
-  "pad_token_id": 151665,
   "transformers_version": "4.51.1"
 }

 {
   "bos_token_id": 151643,
+  "do_sample": true,
   "eos_token_id": [
     151645,
     151643
   ],
   "max_length": 32768,
+  "pad_token_id": 151654,
+  "repetition_penalty": 1.05,
+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
   "transformers_version": "4.51.1"
 }

model-00001-of-00004.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:dd34a713a5c30f2ed9fb73fe9874b06d08d1f38c6831f024c35fa748517e503d
 size 4877660776

 version https://git-lfs.github.com/spec/v1
+oid sha256:9ff3b270cb6b8ce8a059a43678cebaefb7aa2a3b587aadc5a4e2f6c1e4d13a28
 size 4877660776

model-00002-of-00004.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e3a5ca820783cd6e70beb3d3815f104ef66404386ef6a7dccc173905f398c206
 size 4932751008

 version https://git-lfs.github.com/spec/v1
+oid sha256:854698ca4d7581b9fd40f5da9176b010422194ec26cab3abd907ff21e477d1ca
 size 4932751008

model-00003-of-00004.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d9b0b959b237b9a6edfce2ef19ffe5c7e2f94e2f0a930568a22ef366760d379f
 size 4330865200

 version https://git-lfs.github.com/spec/v1
+oid sha256:6295baeb13806b95509f86175dd3a298bf39630071a4dc2b2d31441c9230b011
 size 4330865200

model-00004-of-00004.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f5edb286f95a9b83253ec084756a8a9e2a8b4918570a14c2b5ebb5935e18a6bd
 size 1089994880

 version https://git-lfs.github.com/spec/v1
+oid sha256:06006972c3be88e8a44fe21cfe2b0472b130780c781a741f8f90f1fe5ba3aae2
 size 1089994880