Instructions to use Kentucky-Open-Science/KOS-V4-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Kentucky-Open-Science/KOS-V4-Instruct with Transformers:

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

pipe = pipeline("text-generation", model="Kentucky-Open-Science/KOS-V4-Instruct")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Kentucky-Open-Science/KOS-V4-Instruct")
model = AutoModelForCausalLM.from_pretrained("Kentucky-Open-Science/KOS-V4-Instruct", device_map="auto")
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 Settings

vLLM

How to use Kentucky-Open-Science/KOS-V4-Instruct with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Kentucky-Open-Science/KOS-V4-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": "Kentucky-Open-Science/KOS-V4-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Kentucky-Open-Science/KOS-V4-Instruct

SGLang

How to use Kentucky-Open-Science/KOS-V4-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 "Kentucky-Open-Science/KOS-V4-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": "Kentucky-Open-Science/KOS-V4-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 "Kentucky-Open-Science/KOS-V4-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": "Kentucky-Open-Science/KOS-V4-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Kentucky-Open-Science/KOS-V4-Instruct with Docker Model Runner:
```
docker model run hf.co/Kentucky-Open-Science/KOS-V4-Instruct
```

KOS-V4-Instruct / generation_config.json

codybum

kos-v4 initial release (private, under review)

7e7cd29 verified 25 days ago

Raw

History Blame Contribute Delete

1.18 kB

	{
	"_from_model_config": true,
	"bad_words_ids": [
	[
	509
	],
	[
	1082
	],
	[
	1093
	],
	[
	1641
	],
	[
	2965
	],
	[
	3275
	],
	[
	4126
	],
	[
	4835
	],
	[
	5301
	],
	[
	7666
	],
	[
	7980
	],
	[
	8129
	],
	[
	8208
	],
	[
	8477
	],
	[
	10191
	],
	[
	10851
	],
	[
	11470
	],
	[
	15211
	],
	[
	16321
	],
	[
	17796
	],
	[
	19001
	],
	[
	24821
	],
	[
	25066
	],
	[
	25080
	],
	[
	25401
	],
	[
	25790
	],
	[
	25998
	],
	[
	26515
	],
	[
	27144
	],
	[
	27202
	],
	[
	27821
	],
	[
	27885
	],
	[
	28028
	],
	[
	28432
	],
	[
	28659
	],
	[
	29294
	],
	[
	31270
	],
	[
	31294
	]
	],
	"bos_token_id": 0,
	"eos_token_id": 0,
	"output_attentions": false,
	"output_hidden_states": false,
	"pad_token_id": 0,
	"transformers_version": "5.3.0",
	"use_cache": false
	}