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

Libraries

How to use CorelynAI/CorynPico with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="CorelynAI/CorynPico",
	filename="coryn_pico-q4_0.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use CorelynAI/CorynPico with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf CorelynAI/CorynPico:Q4_0
# Run inference directly in the terminal:
llama cli -hf CorelynAI/CorynPico:Q4_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf CorelynAI/CorynPico:Q4_0
# Run inference directly in the terminal:
llama cli -hf CorelynAI/CorynPico:Q4_0

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 CorelynAI/CorynPico:Q4_0
# Run inference directly in the terminal:
./llama-cli -hf CorelynAI/CorynPico:Q4_0

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 CorelynAI/CorynPico:Q4_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf CorelynAI/CorynPico:Q4_0

Use Docker

docker model run hf.co/CorelynAI/CorynPico:Q4_0

LM Studio
Jan
Ollama
How to use CorelynAI/CorynPico with Ollama:
```
ollama run hf.co/CorelynAI/CorynPico:Q4_0
```

Unsloth Studio

How to use CorelynAI/CorynPico 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 CorelynAI/CorynPico 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 CorelynAI/CorynPico to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for CorelynAI/CorynPico to start chatting

Atomic Chat new
Docker Model Runner
How to use CorelynAI/CorynPico with Docker Model Runner:
```
docker model run hf.co/CorelynAI/CorynPico:Q4_0
```

Lemonade

How to use CorelynAI/CorynPico with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull CorelynAI/CorynPico:Q4_0

Run and chat with the model

lemonade run user.CorynPico-Q4_0

List all available models

lemonade list

Corelyn commited on Mar 11

Commit

d14c326

verified ·

1 Parent(s): d1ecda0

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@@ -37,3 +37,4 @@ Coryn_Pico-F16.gguf filter=lfs diff=lfs merge=lfs -text
 Coryn_Pico-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
 coryn_pico-q4_0.gguf filter=lfs diff=lfs merge=lfs -text
 coryn_pico.gguf filter=lfs diff=lfs merge=lfs -text

 Coryn_Pico-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
 coryn_pico-q4_0.gguf filter=lfs diff=lfs merge=lfs -text
 coryn_pico.gguf filter=lfs diff=lfs merge=lfs -text
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Git LFS Details

SHA256: eb3b446c207bea47ed5bd8edea6a6496e3a162cf8e4af5f13ca998106942b779
Pointer size: 131 Bytes
Size of remote file: 119 kB