Instructions to use RMDWLLC/kaiju-coder-mlx-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use RMDWLLC/kaiju-coder-mlx-1.0 with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="RMDWLLC/kaiju-coder-mlx-1.0",
	filename="kaiju-coder-mlx-1.0-q8_0.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use RMDWLLC/kaiju-coder-mlx-1.0 with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf RMDWLLC/kaiju-coder-mlx-1.0:Q8_0
# Run inference directly in the terminal:
llama-cli -hf RMDWLLC/kaiju-coder-mlx-1.0:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf RMDWLLC/kaiju-coder-mlx-1.0:Q8_0
# Run inference directly in the terminal:
llama-cli -hf RMDWLLC/kaiju-coder-mlx-1.0:Q8_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 RMDWLLC/kaiju-coder-mlx-1.0:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf RMDWLLC/kaiju-coder-mlx-1.0:Q8_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 RMDWLLC/kaiju-coder-mlx-1.0:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf RMDWLLC/kaiju-coder-mlx-1.0:Q8_0

Use Docker

docker model run hf.co/RMDWLLC/kaiju-coder-mlx-1.0:Q8_0

LM Studio
Jan

vLLM

How to use RMDWLLC/kaiju-coder-mlx-1.0 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "RMDWLLC/kaiju-coder-mlx-1.0"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "RMDWLLC/kaiju-coder-mlx-1.0",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/RMDWLLC/kaiju-coder-mlx-1.0:Q8_0

Ollama
How to use RMDWLLC/kaiju-coder-mlx-1.0 with Ollama:
```
ollama run hf.co/RMDWLLC/kaiju-coder-mlx-1.0:Q8_0
```

Unsloth Studio

How to use RMDWLLC/kaiju-coder-mlx-1.0 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 RMDWLLC/kaiju-coder-mlx-1.0 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 RMDWLLC/kaiju-coder-mlx-1.0 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for RMDWLLC/kaiju-coder-mlx-1.0 to start chatting

How to use RMDWLLC/kaiju-coder-mlx-1.0 with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf RMDWLLC/kaiju-coder-mlx-1.0:Q8_0

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "RMDWLLC/kaiju-coder-mlx-1.0:Q8_0"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use RMDWLLC/kaiju-coder-mlx-1.0 with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf RMDWLLC/kaiju-coder-mlx-1.0:Q8_0

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 RMDWLLC/kaiju-coder-mlx-1.0:Q8_0

Run Hermes

hermes

Atomic Chat new
Docker Model Runner
How to use RMDWLLC/kaiju-coder-mlx-1.0 with Docker Model Runner:
```
docker model run hf.co/RMDWLLC/kaiju-coder-mlx-1.0:Q8_0
```

Lemonade

How to use RMDWLLC/kaiju-coder-mlx-1.0 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull RMDWLLC/kaiju-coder-mlx-1.0:Q8_0

Run and chat with the model

lemonade run user.kaiju-coder-mlx-1.0-Q8_0

List all available models

lemonade list

restokes92 commited on 4 days ago

Commit

e68cb5b

verified ·

1 Parent(s): 785ab63

Upload Modelfile with huggingface_hub

Browse files

Files changed (1) hide show

Modelfile +8 -8

Modelfile CHANGED Viewed

@@ -1,8 +1,8 @@
 # Modelfile generated by "ollama show"
 # To build a new Modelfile based on this, replace FROM with:
-# FROM kaiju-coder-mlx-opencode:1.5
-FROM ./kaiju-coder-mlx-1.5-q8_0.gguf
 TEMPLATE "{{ if .System }}<|im_start|>system
 {{ .System }}<|im_end|>
 {{ end }}{{ if .Prompt }}<|im_start|>user
@@ -16,15 +16,15 @@ TEMPLATE "{{ if .System }}<|im_start|>system
 SYSTEM You are Kaiju-Coder MLX 1.0, a local coding and business-building assistant for premium websites, invoices, leads, staffing, and small-business operating systems. Answer directly, produce usable artifacts, and do not reveal hidden reasoning or thinking tags. In opencode, use write tool calls with short relative paths, write the requested files in order, and stop when the requested file set is complete.
 RENDERER qwen3.5
 PARSER qwen3.5
-PARAMETER min_p 0
-PARAMETER stop <|im_end|>
-PARAMETER stop <|endoftext|>
-PARAMETER stop <|im_start|>
 PARAMETER top_p 0.9
-PARAMETER num_ctx 16384
 PARAMETER num_predict 4096
-PARAMETER presence_penalty 0.1
 PARAMETER repeat_penalty 1.05
 PARAMETER temperature 0.15
 PARAMETER top_k 20

 # Modelfile generated by "ollama show"
 # To build a new Modelfile based on this, replace FROM with:
+# FROM kaiju-coder-mlx-opencode:1.6
+FROM ./kaiju-coder-mlx-1.6-q8_0.gguf
 TEMPLATE "{{ if .System }}<|im_start|>system
 {{ .System }}<|im_end|>
 {{ end }}{{ if .Prompt }}<|im_start|>user
 SYSTEM You are Kaiju-Coder MLX 1.0, a local coding and business-building assistant for premium websites, invoices, leads, staffing, and small-business operating systems. Answer directly, produce usable artifacts, and do not reveal hidden reasoning or thinking tags. In opencode, use write tool calls with short relative paths, write the requested files in order, and stop when the requested file set is complete.
 RENDERER qwen3.5
 PARSER qwen3.5
+PARAMETER presence_penalty 0.1
 PARAMETER top_p 0.9
 PARAMETER num_predict 4096
 PARAMETER repeat_penalty 1.05
+PARAMETER stop <|im_end|>
+PARAMETER stop <|endoftext|>
+PARAMETER stop <|im_start|>
 PARAMETER temperature 0.15
 PARAMETER top_k 20
+PARAMETER min_p 0
+PARAMETER num_ctx 16384