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

Libraries

How to use Altworld/Hemmingway-1 with Transformers:

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

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

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Altworld/Hemmingway-1")
model = AutoModelForCausalLM.from_pretrained("Altworld/Hemmingway-1", 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 Altworld/Hemmingway-1 with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/Altworld/Hemmingway-1

SGLang

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

Docker Model Runner
How to use Altworld/Hemmingway-1 with Docker Model Runner:
```
docker model run hf.co/Altworld/Hemmingway-1
```

RP Performance

by amarosnithe - opened 3 days ago

Discussion

amarosnithe

3 days ago

How good is this model with RP? Does it impersonate characters well? Can it follow instructions well? Can it keep up with long-contexts, keep coherence and does it have some good general knowledge?

RomanHammer

2 days ago

You can try out the model on the website...
I’m just not sure if the system prompt is accessible there. hemmingway.io

Actually, it wouldn't hurt for the creator to add the website link to the model's header.

amarosnithe

2 days ago

I guess I could do it but I would be doing it as an amateur (since I don't have specific benchmarks or good examples I can test the model with). So I rather check on the pros first (who actually know what they're doing and can actually spend effort testing it).

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