Instructions to use openbmb/AgentCPM-Report-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use openbmb/AgentCPM-Report-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="openbmb/AgentCPM-Report-GGUF",
	filename="AgentCPM-Report-Q4_K_M.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use openbmb/AgentCPM-Report-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf openbmb/AgentCPM-Report-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf openbmb/AgentCPM-Report-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 openbmb/AgentCPM-Report-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf openbmb/AgentCPM-Report-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 openbmb/AgentCPM-Report-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf openbmb/AgentCPM-Report-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 openbmb/AgentCPM-Report-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf openbmb/AgentCPM-Report-GGUF:Q4_K_M

Use Docker

docker model run hf.co/openbmb/AgentCPM-Report-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use openbmb/AgentCPM-Report-GGUF with Ollama:
```
ollama run hf.co/openbmb/AgentCPM-Report-GGUF:Q4_K_M
```

Unsloth Studio new

How to use openbmb/AgentCPM-Report-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 openbmb/AgentCPM-Report-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 openbmb/AgentCPM-Report-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for openbmb/AgentCPM-Report-GGUF to start chatting

Docker Model Runner
How to use openbmb/AgentCPM-Report-GGUF with Docker Model Runner:
```
docker model run hf.co/openbmb/AgentCPM-Report-GGUF:Q4_K_M
```

Lemonade

How to use openbmb/AgentCPM-Report-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull openbmb/AgentCPM-Report-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.AgentCPM-Report-GGUF-Q4_K_M

List all available models

lemonade list

Add pipeline_tag and library_name to metadata

by nielsr HF Staff - opened Feb 11

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

+40

-38

nielsr

Feb 11

Hi! I'm Niels from the Hugging Face community team.

I've opened this PR to add some relevant metadata to your model card to improve its discoverability on the Hub. Specifically, I've added:

pipeline_tag: text-generation: This helps users find your model when filtering by task on the Hub.
library_name: transformers: As this model is built on MiniCPM4.1, it is compatible with the transformers library. This also enables the "Use in Transformers" button on the model page.

The existing model card is excellent and detailed; I have preserved all original information, including the evaluation tables and deployment guides.

Add pipeline_tag and library_name to metadata27c06e83

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

Ready to merge

This branch is ready to get merged automatically.

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