Instructions to use deepforce/deepforce-coder-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use deepforce/deepforce-coder-v1 with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="deepforce/deepforce-coder-v1",
	filename="deepforce-coder-v1-q4_k_m.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 deepforce/deepforce-coder-v1 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 deepforce/deepforce-coder-v1:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf deepforce/deepforce-coder-v1:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf deepforce/deepforce-coder-v1:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf deepforce/deepforce-coder-v1: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 deepforce/deepforce-coder-v1:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf deepforce/deepforce-coder-v1: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 deepforce/deepforce-coder-v1:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf deepforce/deepforce-coder-v1:Q4_K_M

Use Docker

docker model run hf.co/deepforce/deepforce-coder-v1:Q4_K_M

LM Studio
Jan

vLLM

How to use deepforce/deepforce-coder-v1 with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/deepforce/deepforce-coder-v1:Q4_K_M

Ollama
How to use deepforce/deepforce-coder-v1 with Ollama:
```
ollama run hf.co/deepforce/deepforce-coder-v1:Q4_K_M
```

Unsloth Studio

How to use deepforce/deepforce-coder-v1 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 deepforce/deepforce-coder-v1 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 deepforce/deepforce-coder-v1 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for deepforce/deepforce-coder-v1 to start chatting

How to use deepforce/deepforce-coder-v1 with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf deepforce/deepforce-coder-v1: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": "deepforce/deepforce-coder-v1:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use deepforce/deepforce-coder-v1 with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf deepforce/deepforce-coder-v1: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 deepforce/deepforce-coder-v1:Q4_K_M

Run Hermes

hermes

Atomic Chat new
Docker Model Runner
How to use deepforce/deepforce-coder-v1 with Docker Model Runner:
```
docker model run hf.co/deepforce/deepforce-coder-v1:Q4_K_M
```

Lemonade

How to use deepforce/deepforce-coder-v1 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull deepforce/deepforce-coder-v1:Q4_K_M

Run and chat with the model

lemonade run user.deepforce-coder-v1-Q4_K_M

List all available models

lemonade list

deepforce-coder-v1 / README.md

deepforce

Upload README.md with huggingface_hub

6d47caa verified 32 minutes ago

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	---
	language:
	- en
	license: apache-2.0
	base_model: Qwen/Qwen2.5-Coder-3B-Instruct
	tags:
	- salesforce
	- apex
	- lwc
	- lightning-web-components
	- code
	- fine-tuned
	- gguf
	- unsloth
	pipeline_tag: text-generation
	---

	# DeepForce Coder v1

	> ⚠️ This model has been superseded by v2.
	> Please use: [deepforce/deepforce-coder-v2](https://huggingface.co/deepforce/deepforce-coder-v2)

	A Salesforce-specialized AI coding assistant fine-tuned on Qwen 2.5 Coder 3B.

	## Known Limitations in v1
	- Over-engineers simple Apex requests
	- Occasionally generates non-existent Apex APIs
	- Test class generation uses System.assertEquals instead of Assert class
	- These are all fixed in v2

	## Quick Start (v1)

	### Ollama
	```bash
	ollama run hf.co/deepforce/deepforce-coder-v1:Q4_K_M
	```

	## License
	Apache 2.0 — free for commercial and personal use.