Instructions to use InterwebAlchemy/kn1ght-bullet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use InterwebAlchemy/kn1ght-bullet with Transformers:

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

pipe = pipeline("text-generation", model="InterwebAlchemy/kn1ght-bullet")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("InterwebAlchemy/kn1ght-bullet")
model = AutoModelForCausalLM.from_pretrained("InterwebAlchemy/kn1ght-bullet")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use InterwebAlchemy/kn1ght-bullet with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "InterwebAlchemy/kn1ght-bullet"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "InterwebAlchemy/kn1ght-bullet",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/InterwebAlchemy/kn1ght-bullet

SGLang

How to use InterwebAlchemy/kn1ght-bullet 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 "InterwebAlchemy/kn1ght-bullet" \
    --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": "InterwebAlchemy/kn1ght-bullet",
		"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 "InterwebAlchemy/kn1ght-bullet" \
        --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": "InterwebAlchemy/kn1ght-bullet",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use InterwebAlchemy/kn1ght-bullet with Docker Model Runner:
```
docker model run hf.co/InterwebAlchemy/kn1ght-bullet
```

InterwebAlchemy commited on Mar 23

Commit

b75f07c

verified ·

1 Parent(s): 6232230

Add checkpoint checkpoints/sft/v4/ckpt_latest.pt

Browse files

Files changed (1) hide show

checkpoints/sft/v4/ckpt_latest.pt +3 -0

checkpoints/sft/v4/ckpt_latest.pt ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:2264e8fa21526822be2b56f30516905b3460e59b2c1dcb77bbfbd062a6ee6eb9
+size 52267199