Instructions to use justheuristic/test-1bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use justheuristic/test-1bit with Transformers:

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

pipe = pipeline("text-generation", model="justheuristic/test-1bit")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("justheuristic/test-1bit")
model = AutoModelForCausalLM.from_pretrained("justheuristic/test-1bit")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use justheuristic/test-1bit with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/justheuristic/test-1bit

SGLang

How to use justheuristic/test-1bit 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 "justheuristic/test-1bit" \
    --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": "justheuristic/test-1bit",
		"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 "justheuristic/test-1bit" \
        --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": "justheuristic/test-1bit",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use justheuristic/test-1bit with Docker Model Runner:
```
docker model run hf.co/justheuristic/test-1bit
```

Vladimir Malniovskii commited on May 28, 2024

Commit

0ab711f

1 Parent(s): d67d75c

model upload

Browse files

Files changed (7) hide show

config.json +104 -0
generation_config.json +6 -0
model.safetensors +3 -0
special_tokens_map.json +23 -0
tokenizer.json +0 -0
tokenizer.model +3 -0
tokenizer_config.json +35 -0

config.json ADDED Viewed

	@@ -0,0 +1,104 @@

+{
+  "_name_or_path": "./mnt/out",
+  "architectures": [
+    "LlamaForCausalLM"
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+  "model_type": "llama",
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+}

generation_config.json ADDED Viewed

	@@ -0,0 +1,6 @@

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tokenizer.json ADDED Viewed

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

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