Instructions to use NoesisLab/Geilim-1B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use NoesisLab/Geilim-1B-Instruct with Transformers:

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

pipe = pipeline("text-generation", model="NoesisLab/Geilim-1B-Instruct", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("NoesisLab/Geilim-1B-Instruct", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use NoesisLab/Geilim-1B-Instruct with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "NoesisLab/Geilim-1B-Instruct"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "NoesisLab/Geilim-1B-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/NoesisLab/Geilim-1B-Instruct

SGLang

How to use NoesisLab/Geilim-1B-Instruct 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 "NoesisLab/Geilim-1B-Instruct" \
    --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": "NoesisLab/Geilim-1B-Instruct",
		"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 "NoesisLab/Geilim-1B-Instruct" \
        --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": "NoesisLab/Geilim-1B-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use NoesisLab/Geilim-1B-Instruct with Docker Model Runner:
```
docker model run hf.co/NoesisLab/Geilim-1B-Instruct
```

OzTianlu commited on Jan 30

Commit

98051f3

verified ·

1 Parent(s): 3dd228c

Upload folder using huggingface_hub

Browse files

Files changed (2) hide show

config.json +5 -5
model.safetensors +3 -0

config.json CHANGED Viewed

@@ -2,18 +2,18 @@
   "architectures": [
     "AsteriskForCausalLM"
   ],
-  "auto_map": {
-    "AutoConfig": "AsteriskForCausalLM.AsteriskConfig",
-    "AutoModelForCausalLM": "AsteriskForCausalLM.AsteriskForCausalLM"
-  },
   "aspp_dropout": 0.15,
   "aspp_hidden_dim": 512,
   "aspp_num_neighbors": 1,
   "aspp_num_steps": 6,
   "attention_bias": false,
   "attention_dropout": 0.0,
   "bos_token_id": 128000,
-  "dtype": "float32",
   "eos_token_id": 128009,
   "head_dim": 64,
   "hidden_act": "silu",

   "architectures": [
     "AsteriskForCausalLM"
   ],
   "aspp_dropout": 0.15,
   "aspp_hidden_dim": 512,
   "aspp_num_neighbors": 1,
   "aspp_num_steps": 6,
   "attention_bias": false,
   "attention_dropout": 0.0,
+  "auto_map": {
+    "AutoConfig": "AsteriskForCausalLM.AsteriskConfig",
+    "AutoModelForCausalLM": "AsteriskForCausalLM.AsteriskForCausalLM"
+  },
   "bos_token_id": 128000,
+  "dtype": "bfloat16",
   "eos_token_id": 128009,
   "head_dim": 64,
   "hidden_act": "silu",

model.safetensors ADDED Viewed

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

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+oid sha256:3a2b6986f7f047e3b534f39a283eab49b4e7218c0c7bab9f34341a8c35e2eecd
+size 3008999832