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

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use RaymondModels/Raymond_Tuning 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 RaymondModels/Raymond_Tuning
# Run inference directly in the terminal:
llama cli -hf RaymondModels/Raymond_Tuning

Install from WinGet (Windows)

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

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 RaymondModels/Raymond_Tuning
# Run inference directly in the terminal:
./llama-cli -hf RaymondModels/Raymond_Tuning

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 RaymondModels/Raymond_Tuning
# Run inference directly in the terminal:
./build/bin/llama-cli -hf RaymondModels/Raymond_Tuning

Use Docker

docker model run hf.co/RaymondModels/Raymond_Tuning

LM Studio
Jan
Ollama
How to use RaymondModels/Raymond_Tuning with Ollama:
```
ollama run hf.co/RaymondModels/Raymond_Tuning
```

Unsloth Studio

How to use RaymondModels/Raymond_Tuning 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 RaymondModels/Raymond_Tuning 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 RaymondModels/Raymond_Tuning to start chatting

Using HuggingFace Spaces for Unsloth

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

Docker Model Runner
How to use RaymondModels/Raymond_Tuning with Docker Model Runner:
```
docker model run hf.co/RaymondModels/Raymond_Tuning
```

Lemonade

How to use RaymondModels/Raymond_Tuning with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull RaymondModels/Raymond_Tuning

Run and chat with the model

lemonade run user.Raymond_Tuning-{{QUANT_TAG}}

List all available models

lemonade list

Atomic Chat

wujoq commited on May 28, 2025

Commit

60293c9

verified ·

1 Parent(s): 06a2292

Upload 2 files

Browse files

Files changed (3) hide show

.gitattributes +2 -0
helpful_man.gguf +3 -0
ribald_man.gguf +3 -0

.gitattributes CHANGED Viewed

@@ -36,3 +36,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 unsloth.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
 priest.gguf filter=lfs diff=lfs merge=lfs -text
 guard.gguf filter=lfs diff=lfs merge=lfs -text

 unsloth.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
 priest.gguf filter=lfs diff=lfs merge=lfs -text
 guard.gguf filter=lfs diff=lfs merge=lfs -text
+helpful_man.gguf filter=lfs diff=lfs merge=lfs -text
+ribald_man.gguf filter=lfs diff=lfs merge=lfs -text

helpful_man.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:343984fffc9f533b19102f8948c6d7863cef2bd06ab572e5d5d5c37bf306f8cd
+size 2019373248

ribald_man.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:3212cf06ef3d5abd759552f6f269c66577c9d285fd45c76ca3ec12651d05e78d
+size 2019373248