Instructions to use SpectraSuite/QuantLM_99M_4bit_Unpacked with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use SpectraSuite/QuantLM_99M_4bit_Unpacked with Transformers:

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

pipe = pipeline("text-generation", model="SpectraSuite/QuantLM_99M_4bit_Unpacked")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("SpectraSuite/QuantLM_99M_4bit_Unpacked")
model = AutoModelForCausalLM.from_pretrained("SpectraSuite/QuantLM_99M_4bit_Unpacked")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use SpectraSuite/QuantLM_99M_4bit_Unpacked with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "SpectraSuite/QuantLM_99M_4bit_Unpacked"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "SpectraSuite/QuantLM_99M_4bit_Unpacked",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/SpectraSuite/QuantLM_99M_4bit_Unpacked

SGLang

How to use SpectraSuite/QuantLM_99M_4bit_Unpacked 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 "SpectraSuite/QuantLM_99M_4bit_Unpacked" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "SpectraSuite/QuantLM_99M_4bit_Unpacked",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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 "SpectraSuite/QuantLM_99M_4bit_Unpacked" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "SpectraSuite/QuantLM_99M_4bit_Unpacked",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use SpectraSuite/QuantLM_99M_4bit_Unpacked with Docker Model Runner:
```
docker model run hf.co/SpectraSuite/QuantLM_99M_4bit_Unpacked
```

Upload folder using huggingface_hub

by tejasexpress - opened Jul 18, 2024

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

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tejasexpress

Jul 18, 2024

•

edited Jul 18, 2024

Upload folder using huggingface_hub

Multi commit ID: d671df42aeff67fe1769cd46ac1cdb348e1c051cda9447e5053a2e286b10dd77

Scheduled commits:

Upload 8 file(s) totalling 201.7M (9a21a2870e6210ee177dfb6edbd8b0c34ed21f60bad3f98694890f9cee1f93ce)

This is a PR opened using the huggingface_hub library in the context of a multi-commit. PR can be commented as a usual PR. However, please be aware that manually updating the PR description, changing the PR status, or pushing new commits, is not recommended as it might corrupt the commit process. Learn more about multi-commits in this guide.

tejasexpress

Jul 18, 2024

Multi-commit is now completed! You can ping the repo owner to review the changes. This PR can now be commented or modified without risking to corrupt it.

This is a comment posted using the huggingface_hub library in the context of a multi-commit. Learn more about multi-commits in this guide.

tejasexpress changed pull request title from [WIP] Upload folder using huggingface_hub (multi-commit d671df42aeff67fe1769cd46ac1cdb348e1c051cda9447e5053a2e286b10dd77) to Upload folder using huggingface_hub Jul 18, 2024

tejasexpress changed pull request status to open Jul 18, 2024

tejasexpress

Jul 18, 2024

create_pr=False has been passed so PR is automatically merged.

This is a comment posted using the huggingface_hub library in the context of a multi-commit. Learn more about multi-commits in this guide.

tejasexpress changed pull request status to merged Jul 18, 2024

9a21a2870e6210ee177dfb6edbd8b0c34ed21f60bad3f98694890f9cee1f93ce84bc9a38

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