Instructions to use appvoid/palmer-003 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use appvoid/palmer-003 with Transformers:

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

pipe = pipeline("text-generation", model="appvoid/palmer-003")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("appvoid/palmer-003")
model = AutoModelForCausalLM.from_pretrained("appvoid/palmer-003")

llama-cpp-python

How to use appvoid/palmer-003 with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="appvoid/palmer-003",
	filename="palmer-003.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use appvoid/palmer-003 with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf appvoid/palmer-003
# Run inference directly in the terminal:
llama-cli -hf appvoid/palmer-003

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf appvoid/palmer-003
# Run inference directly in the terminal:
llama-cli -hf appvoid/palmer-003

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf appvoid/palmer-003
# Run inference directly in the terminal:
./llama-cli -hf appvoid/palmer-003

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf appvoid/palmer-003
# Run inference directly in the terminal:
./build/bin/llama-cli -hf appvoid/palmer-003

Use Docker

docker model run hf.co/appvoid/palmer-003

LM Studio
Jan

vLLM

How to use appvoid/palmer-003 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "appvoid/palmer-003"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "appvoid/palmer-003",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/appvoid/palmer-003

SGLang

How to use appvoid/palmer-003 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 "appvoid/palmer-003" \
    --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": "appvoid/palmer-003",
		"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 "appvoid/palmer-003" \
        --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": "appvoid/palmer-003",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Ollama
How to use appvoid/palmer-003 with Ollama:
```
ollama run hf.co/appvoid/palmer-003
```

Unsloth Studio

How to use appvoid/palmer-003 with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for appvoid/palmer-003 to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for appvoid/palmer-003 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for appvoid/palmer-003 to start chatting

Docker Model Runner
How to use appvoid/palmer-003 with Docker Model Runner:
```
docker model run hf.co/appvoid/palmer-003
```

Lemonade

How to use appvoid/palmer-003 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull appvoid/palmer-003

Run and chat with the model

lemonade run user.palmer-003-{{QUANT_TAG}}

List all available models

lemonade list

appvoid commited on Mar 8, 2024

Commit

6fc1271

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@@ -31,6 +31,64 @@ Stay positive and focused on your goals.
 Remember, you are capable of achieving anything you set your mind to.
 ```
 You can support me [through kofi](https://ko-fi.com/appvoid).
 ### Important

 Remember, you are capable of achieving anything you set your mind to.
 ```
+**Story writing**
+```
+prompt: how are you?
+output: [Suddenly, the door bursts open, and a group of armed men enter]
+Man: Who are you?
+Woman: We're here to help.
+[The group of men starts to attack them, but they manage to fend them off with their weapons]
+Man: You're not going to hurt us!
+                                                Woman: We're just trying to help.
+[As the group retreats, the woman and man are left alone in the room]
+Man: I don't know what to do.
+Woman: You need to stay calm. We have to find a way out of here.
+[They start to search for a way out, but they quickly realize that the door is locked]
+Man: What are we going to do?
+Woman: We'll have to think outside the box. Maybe there's another way out.
+[As they continue to search, they come across a hidden passageway]
+Man: This is it! We can make our way out of here.
+Woman: But how are we going to get back?
+Man: I have an idea. Let's use the key that was left behind.
+[They use the key to unlock the door, and they emerge into a dark alley]
+Man: We made it!
+Woman: But what about our families?
+Man: We'll find a way to let them know we're okay.
+[As they make their way back to their homes, they realize that they have been in a nightmare]
+Man: This is just the beginning. We need to be prepared for anything.
+Woman: I know. But what if it happens again?
+Man: Then we'll do everything in our power to protect ourselves and those we love.
+[The woman and man sit down on a bench, looking out at the city]
+Man: We can't let this happen again. We have to be vigilant and prepared for anything.
+Woman: I agree. But what if we don't know how to protect ourselves?
+Man: Then we'll have to rely on each other. We're in this together.
+[The woman and man continue to sit, holding hand
+```
 You can support me [through kofi](https://ko-fi.com/appvoid).
 ### Important