Instructions to use andy211313/colorist-gpu-sample with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use andy211313/colorist-gpu-sample with Transformers:

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

pipe = pipeline("text-generation", model="andy211313/colorist-gpu-sample")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("andy211313/colorist-gpu-sample")
model = AutoModelForCausalLM.from_pretrained("andy211313/colorist-gpu-sample")
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 andy211313/colorist-gpu-sample with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "andy211313/colorist-gpu-sample"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "andy211313/colorist-gpu-sample",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/andy211313/colorist-gpu-sample

SGLang

How to use andy211313/colorist-gpu-sample 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 "andy211313/colorist-gpu-sample" \
    --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": "andy211313/colorist-gpu-sample",
		"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 "andy211313/colorist-gpu-sample" \
        --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": "andy211313/colorist-gpu-sample",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use andy211313/colorist-gpu-sample with Docker Model Runner:
```
docker model run hf.co/andy211313/colorist-gpu-sample
```

andy211313 commited on Dec 1, 2025

Commit

622fcad

verified ·

1 Parent(s): ed8f1d6

Upload LlamaForCausalLM

Browse files

Files changed (3) hide show

config.json +20 -10
generation_config.json +9 -4
model.safetensors +2 -2

config.json CHANGED Viewed

@@ -4,19 +4,23 @@
   ],
   "attention_bias": false,
   "attention_dropout": 0.0,
-  "bos_token_id": 1,
-  "eos_token_id": 2,
   "head_dim": 64,
   "hidden_act": "silu",
   "hidden_size": 2048,
   "initializer_range": 0.02,
-  "intermediate_size": 5632,
-  "max_position_embeddings": 2048,
   "mlp_bias": false,
   "model_type": "llama",
   "num_attention_heads": 32,
-  "num_hidden_layers": 22,
-  "num_key_value_heads": 4,
   "pretraining_tp": 1,
   "quantization_config": {
     "_load_in_4bit": true,
@@ -34,11 +38,17 @@
     "quant_method": "bitsandbytes"
   },
   "rms_norm_eps": 1e-05,
-  "rope_scaling": null,
-  "rope_theta": 10000.0,
-  "tie_word_embeddings": false,
   "torch_dtype": "bfloat16",
   "transformers_version": "4.55.4",
   "use_cache": false,
-  "vocab_size": 32000
 }

   ],
   "attention_bias": false,
   "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
   "head_dim": 64,
   "hidden_act": "silu",
   "hidden_size": 2048,
   "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
   "mlp_bias": false,
   "model_type": "llama",
   "num_attention_heads": 32,
+  "num_hidden_layers": 16,
+  "num_key_value_heads": 8,
   "pretraining_tp": 1,
   "quantization_config": {
     "_load_in_4bit": true,
     "quant_method": "bitsandbytes"
   },
   "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 32.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": true,
   "torch_dtype": "bfloat16",
   "transformers_version": "4.55.4",
   "use_cache": false,
+  "vocab_size": 128256
 }

generation_config.json CHANGED Viewed

@@ -1,7 +1,12 @@
 {
-  "bos_token_id": 1,
-  "eos_token_id": 2,
-  "max_length": 2048,
-  "pad_token_id": 0,
   "transformers_version": "4.55.4"
 }

 {
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "temperature": 0.6,
+  "top_p": 0.9,
   "transformers_version": "4.55.4"
 }

model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:13a533b861ea20a24ee661f53b709274c7f4c85e447650cf81d0bb6b6da65359
-size 813150315

 version https://git-lfs.github.com/spec/v1
+oid sha256:917abdded5a61fccbaae44f2ccb35b04ccc5aa2ebb68748413b6386a4019b4e7
+size 1072936873