Instructions to use RemySkye/KAT-Coder-V2.5-Dev-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use RemySkye/KAT-Coder-V2.5-Dev-GGUF 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 RemySkye/KAT-Coder-V2.5-Dev-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf RemySkye/KAT-Coder-V2.5-Dev-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf RemySkye/KAT-Coder-V2.5-Dev-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf RemySkye/KAT-Coder-V2.5-Dev-GGUF:Q4_K_M

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 RemySkye/KAT-Coder-V2.5-Dev-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf RemySkye/KAT-Coder-V2.5-Dev-GGUF:Q4_K_M

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 RemySkye/KAT-Coder-V2.5-Dev-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf RemySkye/KAT-Coder-V2.5-Dev-GGUF:Q4_K_M

Use Docker

docker model run hf.co/RemySkye/KAT-Coder-V2.5-Dev-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use RemySkye/KAT-Coder-V2.5-Dev-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "RemySkye/KAT-Coder-V2.5-Dev-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "RemySkye/KAT-Coder-V2.5-Dev-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/RemySkye/KAT-Coder-V2.5-Dev-GGUF:Q4_K_M

Ollama
How to use RemySkye/KAT-Coder-V2.5-Dev-GGUF with Ollama:
```
ollama run hf.co/RemySkye/KAT-Coder-V2.5-Dev-GGUF:Q4_K_M
```
Unsloth Desktop

How to use RemySkye/KAT-Coder-V2.5-Dev-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf RemySkye/KAT-Coder-V2.5-Dev-GGUF:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "RemySkye/KAT-Coder-V2.5-Dev-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use RemySkye/KAT-Coder-V2.5-Dev-GGUF with Docker Model Runner:
```
docker model run hf.co/RemySkye/KAT-Coder-V2.5-Dev-GGUF:Q4_K_M
```

Lemonade

How to use RemySkye/KAT-Coder-V2.5-Dev-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull RemySkye/KAT-Coder-V2.5-Dev-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.KAT-Coder-V2.5-Dev-GGUF-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use RemySkye/KAT-Coder-V2.5-Dev-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf RemySkye/KAT-Coder-V2.5-Dev-GGUF:Q4_K_M

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default RemySkye/KAT-Coder-V2.5-Dev-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use RemySkye/KAT-Coder-V2.5-Dev-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf RemySkye/KAT-Coder-V2.5-Dev-GGUF:Q4_K_M

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "RemySkye/KAT-Coder-V2.5-Dev-GGUF:Q4_K_M" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

RemySkye commited on Jul 23

Commit

0781c8b

verified ·

1 Parent(s): b53b882

Update GGUF build manifest

Browse files

Files changed (1) hide show

build-manifest.json +22 -0

build-manifest.json ADDED Viewed

	@@ -0,0 +1,22 @@

+{
+  "base_model": "Kwaipilot/KAT-Coder-V2.5-Dev",
+  "created_at": "2026-07-23T19:55:11.780924+00:00",
+  "files": {
+    "KAT-Coder-V2.5-Dev-BF16.gguf": {
+      "llama_cpp_commit": "c0bc8591e8815c63cb01dd3f051a8b0df02501c9",
+      "quantization": "BF16",
+      "sha256": "f15114d487105dafc8deb7b77b84220c7b47cb87155cd83d684b2eb794f4ef92",
+      "size_bytes": 69376637376,
+      "tensor_count": 733,
+      "tensor_types": {
+        "BF16": 432,
+        "F32": 301
+      },
+      "verified_remote_size": 69376637376
+    }
+  },
+  "llama_cpp_commit": "c0bc8591e8815c63cb01dd3f051a8b0df02501c9",
+  "schema_version": 1,
+  "target_repo": "RemySkye/KAT-Coder-V2.5-Dev-GGUF",
+  "updated_at": "2026-07-23T20:06:00.495891+00:00"
+}