Instructions to use KikoCis/MiniCPM5-2B-Elffuss-Code-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 KikoCis/MiniCPM5-2B-Elffuss-Code-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 KikoCis/MiniCPM5-2B-Elffuss-Code-GGUF:Q8_0
# Run inference directly in the terminal:
llama cli -hf KikoCis/MiniCPM5-2B-Elffuss-Code-GGUF:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf KikoCis/MiniCPM5-2B-Elffuss-Code-GGUF:Q8_0
# Run inference directly in the terminal:
llama cli -hf KikoCis/MiniCPM5-2B-Elffuss-Code-GGUF: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 KikoCis/MiniCPM5-2B-Elffuss-Code-GGUF:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf KikoCis/MiniCPM5-2B-Elffuss-Code-GGUF: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 KikoCis/MiniCPM5-2B-Elffuss-Code-GGUF:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf KikoCis/MiniCPM5-2B-Elffuss-Code-GGUF:Q8_0

Use Docker

docker model run hf.co/KikoCis/MiniCPM5-2B-Elffuss-Code-GGUF:Q8_0

LM Studio
Jan

vLLM

How to use KikoCis/MiniCPM5-2B-Elffuss-Code-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "KikoCis/MiniCPM5-2B-Elffuss-Code-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": "KikoCis/MiniCPM5-2B-Elffuss-Code-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/KikoCis/MiniCPM5-2B-Elffuss-Code-GGUF:Q8_0

Ollama
How to use KikoCis/MiniCPM5-2B-Elffuss-Code-GGUF with Ollama:
```
ollama run hf.co/KikoCis/MiniCPM5-2B-Elffuss-Code-GGUF:Q8_0
```
Unsloth Desktop

How to use KikoCis/MiniCPM5-2B-Elffuss-Code-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf KikoCis/MiniCPM5-2B-Elffuss-Code-GGUF:Q8_0

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": "KikoCis/MiniCPM5-2B-Elffuss-Code-GGUF:Q8_0"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use KikoCis/MiniCPM5-2B-Elffuss-Code-GGUF with Docker Model Runner:
```
docker model run hf.co/KikoCis/MiniCPM5-2B-Elffuss-Code-GGUF:Q8_0
```

Lemonade

How to use KikoCis/MiniCPM5-2B-Elffuss-Code-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull KikoCis/MiniCPM5-2B-Elffuss-Code-GGUF:Q8_0

Run and chat with the model

lemonade run user.MiniCPM5-2B-Elffuss-Code-GGUF-Q8_0

List all available models

lemonade list

Hermes Agent

How to use KikoCis/MiniCPM5-2B-Elffuss-Code-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 KikoCis/MiniCPM5-2B-Elffuss-Code-GGUF: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 KikoCis/MiniCPM5-2B-Elffuss-Code-GGUF:Q8_0

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use KikoCis/MiniCPM5-2B-Elffuss-Code-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf KikoCis/MiniCPM5-2B-Elffuss-Code-GGUF:Q8_0

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 "KikoCis/MiniCPM5-2B-Elffuss-Code-GGUF:Q8_0" \
  --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"

KIKOCIS // ELFFUSS CODE // A NEW VERSION EVERY DAY
 you ──▶ ```tool code.search ```
          [resultado] lib/x.js:42
     ──▶ ```tool code.edit ```
          ✔ fixed, verified
MiniCPM5-2B · Elffuss Code
2B · Q8_0-XL · v4 · 2026-10-14 · bugs fixed 4 %

MiniCPM5-2B — Elffuss Code edition (GGUF)

OpenBMB's MiniCPM5-2B, trained a little more every day to work as the coding agent of Elffuss Code — the IDE that runs in your browser: read the project, find the bug, edit the exact lines, check the fix, answer citing real files. A new version is published every day, and every version is measured on the same held-out tasks, so the whole evolution is below.

🌐 Try it in Elffuss Code → elffuss.com

📈 Evolution

Version	Date	Bugs fixed	Grounded answers	Valid tool protocol	Finished	Avg. steps	KLD vs original
v0 (original)	—	12 %	92 %	98 %	77 %	6.1	0.0000
v1	2026-10-11	0 %	0 %	85 %	100 %	1	8.7960
v2	2026-10-11	4 %	33 %	85 %	17 %	10.38	0.0494
v3	2026-10-13	0 %	25 %	92 %	21 %	9.75	0.0204
v4	2026-10-14	4 %	58 %	96 %	35 %	8.94	0.0211

Bugs fixed — a one-token bug is planted in a real function of a repo the model never trained on; it counts only if the file ends byte-identical to the original.
Grounded answers — explaining or locating code, the answer cites a file the tools actually returned.
Valid tool protocol — every tool call is one Elffuss Code's own parser accepts.
KLD vs original — drift of the next-token distribution from the original BF16 model on general text (wikitext-2): how much general behaviour the specialisation costs.

Held-out set: 24 tasks on 3 public repos that are never used for training, each run twice, sampled at temperature 1.0 / top_p 0.95 in Elffuss Code's own agent loop (its system prompt, tools and parser, unchanged).

🚀 Run it

llama-server -m MiniCPM5-2B-Elffuss-Code-Q8_0-XL.gguf -c 32768 --jinja --temp 1.0 --top-p 0.95 \
  --chat-template-kwargs '{"enable_thinking": false}'
ollama run hf.co/KikoCis/MiniCPM5-2B-Elffuss-Code-GGUF:Q8_0-XL

Built for Elffuss Code's tool protocol (```tool {"tool": "code.read", …} ``` blocks). In Elffuss Code, point the API provider at your llama-server.

📦 File

File	Quant	Size
`MiniCPM5-2B-Elffuss-Code-Q8_0-XL.gguf`	Q8_0 blocks, BF16 embeddings + output head	3.18 GB

Every daily version is a git tag on this repo (v<date>), so any day can be downloaded again.

📚 Credit & license

Base model © OpenBMB — openbmb/MiniCPM5-2B. Elffuss Code specialisation, daily builds and measurements: KikoCis — elffuss.com. Apache-2.0, same as upstream. The faithful (unmodified) quantization is at KikoCis/MiniCPM5-2B-GGUF.

Downloads last month: 263

GGUF

Model size

3B params

Architecture

llama

Hardware compatibility

8-bit

Model tree for KikoCis/MiniCPM5-2B-Elffuss-Code-GGUF

Base model

openbmb/MiniCPM5-2B

Finetuned

(75)

this model