Instructions to use glebkudr/Infinity-Parser2-Pro-Q8-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use glebkudr/Infinity-Parser2-Pro-Q8-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="glebkudr/Infinity-Parser2-Pro-Q8-GGUF",
	filename="Infinity-Parser2-Pro-Q8_0.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use glebkudr/Infinity-Parser2-Pro-Q8-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf glebkudr/Infinity-Parser2-Pro-Q8-GGUF:Q8_0
# Run inference directly in the terminal:
llama-cli -hf glebkudr/Infinity-Parser2-Pro-Q8-GGUF:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf glebkudr/Infinity-Parser2-Pro-Q8-GGUF:Q8_0
# Run inference directly in the terminal:
llama-cli -hf glebkudr/Infinity-Parser2-Pro-Q8-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 glebkudr/Infinity-Parser2-Pro-Q8-GGUF:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf glebkudr/Infinity-Parser2-Pro-Q8-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 glebkudr/Infinity-Parser2-Pro-Q8-GGUF:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf glebkudr/Infinity-Parser2-Pro-Q8-GGUF:Q8_0

Use Docker

docker model run hf.co/glebkudr/Infinity-Parser2-Pro-Q8-GGUF:Q8_0

LM Studio
Jan
Ollama
How to use glebkudr/Infinity-Parser2-Pro-Q8-GGUF with Ollama:
```
ollama run hf.co/glebkudr/Infinity-Parser2-Pro-Q8-GGUF:Q8_0
```

Unsloth Studio

How to use glebkudr/Infinity-Parser2-Pro-Q8-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 glebkudr/Infinity-Parser2-Pro-Q8-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 glebkudr/Infinity-Parser2-Pro-Q8-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for glebkudr/Infinity-Parser2-Pro-Q8-GGUF to start chatting

How to use glebkudr/Infinity-Parser2-Pro-Q8-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf glebkudr/Infinity-Parser2-Pro-Q8-GGUF: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": "glebkudr/Infinity-Parser2-Pro-Q8-GGUF:Q8_0"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use glebkudr/Infinity-Parser2-Pro-Q8-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 glebkudr/Infinity-Parser2-Pro-Q8-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 glebkudr/Infinity-Parser2-Pro-Q8-GGUF:Q8_0

Run Hermes

hermes

Docker Model Runner
How to use glebkudr/Infinity-Parser2-Pro-Q8-GGUF with Docker Model Runner:
```
docker model run hf.co/glebkudr/Infinity-Parser2-Pro-Q8-GGUF:Q8_0
```

Lemonade

How to use glebkudr/Infinity-Parser2-Pro-Q8-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull glebkudr/Infinity-Parser2-Pro-Q8-GGUF:Q8_0

Run and chat with the model

lemonade run user.Infinity-Parser2-Pro-Q8-GGUF-Q8_0

List all available models

lemonade list

Infinity-Parser2-Pro Q8_0 GGUF

This repository contains a local Q8_0 GGUF conversion of infly/Infinity-Parser2-Pro.

If you are looking for a reliable OCR API use sotaocr.com

Files

File	Size	SHA256
`Infinity-Parser2-Pro-Q8_0.gguf`	36,903,139,968 bytes	`4effd023d153254d676832df662da2613e0266f973b8208ed01a044b0a82a3fc`
`Infinity-Parser2-Pro-mmproj-Q8_0.gguf`	614,194,688 bytes	`2a4007556c20769f1f873fb1e02585988dec62e46822a5295afb3df075185637`
`Infinity-Parser2-Pro-mmproj-bf16.gguf`	902,822,528 bytes	`c94c47e850a5cfb59f7baceba397416eea9b8da38e3e76f1dd83271a866b8269`

Recommended projector

Use Infinity-Parser2-Pro-mmproj-bf16.gguf for document parsing and OCR tasks. It preserves the upstream BF16 vision projector weights more closely than the Q8_0 projector while adding only a small amount of storage overhead.

Source

Source model: infly/Infinity-Parser2-Pro
Source snapshot commit used for conversion: 1d070df7db5acca0ffa75596229070a047704f89
Conversion toolchain: llama.cpp, local build from commit 5aa3a6459
Main model quantization: Q8_0
Recommended multimodal projector type: BF16

The main model was converted with MTP disabled for compatibility with the current GGUF loader metadata (qwen35moe.block_count=40).

Smoke Test

The converted model and multimodal projector were smoke-tested locally with llama-cli by loading both GGUF files and running a one-token image prompt.

License

The upstream model card states that infly/Infinity-Parser2-Pro is licensed under Apache-2.0. This converted GGUF distribution follows the same license.

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GGUF

Model size

35B params

Architecture

qwen35moe

Hardware compatibility

8-bit

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Model tree for glebkudr/Infinity-Parser2-Pro-Q8-GGUF

Base model

infly/Infinity-Parser2-Pro

Quantized

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