Instructions to use Maincode/Maincoder-1B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Maincode/Maincoder-1B-GGUF with Transformers:

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

pipe = pipeline("text-generation", model="Maincode/Maincoder-1B-GGUF")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Maincode/Maincoder-1B-GGUF", dtype="auto")

llama-cpp-python

How to use Maincode/Maincoder-1B-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Maincode/Maincoder-1B-GGUF",
	filename="Maincoder-1B-BF16.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use Maincode/Maincoder-1B-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Maincode/Maincoder-1B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Maincode/Maincoder-1B-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Maincode/Maincoder-1B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Maincode/Maincoder-1B-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 Maincode/Maincoder-1B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Maincode/Maincoder-1B-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 Maincode/Maincoder-1B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Maincode/Maincoder-1B-GGUF:Q4_K_M

Use Docker

docker model run hf.co/Maincode/Maincoder-1B-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use Maincode/Maincoder-1B-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Maincode/Maincoder-1B-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": "Maincode/Maincoder-1B-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Maincode/Maincoder-1B-GGUF:Q4_K_M

SGLang

How to use Maincode/Maincoder-1B-GGUF 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 "Maincode/Maincoder-1B-GGUF" \
    --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": "Maincode/Maincoder-1B-GGUF",
		"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 "Maincode/Maincoder-1B-GGUF" \
        --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": "Maincode/Maincoder-1B-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Ollama
How to use Maincode/Maincoder-1B-GGUF with Ollama:
```
ollama run hf.co/Maincode/Maincoder-1B-GGUF:Q4_K_M
```

Unsloth Studio

How to use Maincode/Maincoder-1B-GGUF 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 Maincode/Maincoder-1B-GGUF 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 Maincode/Maincoder-1B-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Maincode/Maincoder-1B-GGUF to start chatting

How to use Maincode/Maincoder-1B-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf Maincode/Maincoder-1B-GGUF:Q4_K_M

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": "Maincode/Maincoder-1B-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use Maincode/Maincoder-1B-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf Maincode/Maincoder-1B-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 Maincode/Maincoder-1B-GGUF:Q4_K_M

Run Hermes

hermes

Docker Model Runner
How to use Maincode/Maincoder-1B-GGUF with Docker Model Runner:
```
docker model run hf.co/Maincode/Maincoder-1B-GGUF:Q4_K_M
```

Lemonade

How to use Maincode/Maincoder-1B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Maincode/Maincoder-1B-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Maincoder-1B-GGUF-Q4_K_M

List all available models

lemonade list

maincode-prabod commited on Jan 2

Commit

602967f

verified ·

1 Parent(s): 1298850

Upload folder using huggingface_hub

Browse files

Files changed (9) hide show

.gitattributes +7 -0
Maincoder-1B-BF16.gguf +3 -0
Maincoder-1B-F16.gguf +3 -0
Maincoder-1B-Q4_0.gguf +3 -0
Maincoder-1B-Q4_K_M.gguf +3 -0
Maincoder-1B-Q5_K_M.gguf +3 -0
Maincoder-1B-Q6_K.gguf +3 -0
Maincoder-1B-Q8_0.gguf +3 -0
README.md +67 -0

.gitattributes CHANGED Viewed

@@ -33,3 +33,10 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text

 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+Maincoder-1B-BF16.gguf filter=lfs diff=lfs merge=lfs -text
+Maincoder-1B-F16.gguf filter=lfs diff=lfs merge=lfs -text
+Maincoder-1B-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+Maincoder-1B-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Maincoder-1B-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Maincoder-1B-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+Maincoder-1B-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

Maincoder-1B-BF16.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:25b5610963c865908cf8b7848472fa250db60dcc6db89b2408ff23de50ac537b
+size 2058570752

Maincoder-1B-F16.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:4a3e551e0586cd4cd09bdd7ae5a37a9605461ec15ee9436a93a7852f27980b40
+size 2058570752

Maincoder-1B-Q4_0.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:e431a504ed43a7867890c5677f4ba26f248fa7c29855b94aee5ef0561a7e8b32
+size 643722752

Maincoder-1B-Q4_K_M.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:8dc2a67c138a038c9c284d82e039f8570dadfaa8f0273f1fa30930a4d036ee47
+size 672108032

Maincoder-1B-Q5_K_M.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:07759f41ec03757148d419bbad0e68369b1ef7364ccf481ccb0ea1004f22ff2c
+size 757435904

Maincoder-1B-Q6_K.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:2a28c16426d6eb32bfe7afa965e6816984956ae4380d33efc3fd211a92f01e26
+size 848096768

Maincoder-1B-Q8_0.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:43cd43d942de46327ff82a77e63717ef9a34d97787a3c5dcd309a9da3978a668
+size 1096604672

README.md ADDED Viewed

	@@ -0,0 +1,67 @@

+---
+license: apache-2.0
+language:
+- en
+library_name: transformers
+tags:
+- code
+- python
+- maincoder
+- code-generation
+- gguf
+- quantized
+pipeline_tag: text-generation
+base_model: Maincode/Maincoder-1B
+---
+<img src="https://huggingface.co/datasets/Maincode/assets/resolve/e51154e034201be1a5dad0e9c8de31d8b9f17643/maincoder_logo.png" alt="" width="1250">
+# Maincoder-1B-GGUF
+GGUF quantizations of [**Maincoder-1B**](https://huggingface.co/Maincode/Maincoder-1B), a code-focused language model optimized for code generation and completion tasks. These quantized versions are designed for efficient local deployment with [llama.cpp](https://github.com/ggerganov/llama.cpp).
+Find more details in the original model card: https://huggingface.co/Maincode/Maincoder-1B
+## How to run Maincoder
+Example usage with llama.cpp:
+```bash
+llama-cli -hf Maincode/Maincoder-1B-GGUF
+```
+Or with a specific quantization:
+```bash
+llama-cli -hf Maincode/Maincoder-1B-GGUF -m Maincoder-1B-Q4_K_M.gguf
+```
+Code completion example:
+```bash
+llama-cli -hf Maincode/Maincoder-1B-GGUF -p 'def fibonacci(n: int) -> int:
+    """Return the n-th Fibonacci number."""
+' -n 256
+```
+## Available Quantizations
+| Filename | Size | Description |
+|----------|------|-------------|
+| Maincoder-1B-BF16.gguf | 1.9 GB | BFloat16 - Full precision, best quality |
+| Maincoder-1B-F16.gguf | 1.9 GB | Float16 - Full precision |
+| Maincoder-1B-Q8_0.gguf | 1.0 GB | 8-bit quantization - Highest quality quantized |
+| Maincoder-1B-Q6_K.gguf | 809 MB | 6-bit quantization - High quality |
+| Maincoder-1B-Q5_K_M.gguf | 722 MB | 5-bit quantization - Great balance |
+| Maincoder-1B-Q4_K_M.gguf | 641 MB | 4-bit quantization - Recommended |
+| Maincoder-1B-Q4_0.gguf | 614 MB | 4-bit quantization - Smallest, fastest |
+## 📄 License
+This model is released under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0).
+## 🔗 Links
+- [Original Model](https://huggingface.co/Maincode/Maincoder-1B)
+- [Maincode](https://maincode.com)
+- [llama.cpp](https://github.com/ggerganov/llama.cpp)