Instructions to use dxoth1nh/poc-llama-cpp-chat-template-recursion-dos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use dxoth1nh/poc-llama-cpp-chat-template-recursion-dos 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 dxoth1nh/poc-llama-cpp-chat-template-recursion-dos
# Run inference directly in the terminal:
llama cli -hf dxoth1nh/poc-llama-cpp-chat-template-recursion-dos

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf dxoth1nh/poc-llama-cpp-chat-template-recursion-dos
# Run inference directly in the terminal:
llama cli -hf dxoth1nh/poc-llama-cpp-chat-template-recursion-dos

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 dxoth1nh/poc-llama-cpp-chat-template-recursion-dos
# Run inference directly in the terminal:
./llama-cli -hf dxoth1nh/poc-llama-cpp-chat-template-recursion-dos

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 dxoth1nh/poc-llama-cpp-chat-template-recursion-dos
# Run inference directly in the terminal:
./build/bin/llama-cli -hf dxoth1nh/poc-llama-cpp-chat-template-recursion-dos

Use Docker

docker model run hf.co/dxoth1nh/poc-llama-cpp-chat-template-recursion-dos

LM Studio
Jan
Ollama
How to use dxoth1nh/poc-llama-cpp-chat-template-recursion-dos with Ollama:
```
ollama run hf.co/dxoth1nh/poc-llama-cpp-chat-template-recursion-dos
```

Unsloth Studio

How to use dxoth1nh/poc-llama-cpp-chat-template-recursion-dos 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 dxoth1nh/poc-llama-cpp-chat-template-recursion-dos 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 dxoth1nh/poc-llama-cpp-chat-template-recursion-dos to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for dxoth1nh/poc-llama-cpp-chat-template-recursion-dos to start chatting

Atomic Chat new
Docker Model Runner
How to use dxoth1nh/poc-llama-cpp-chat-template-recursion-dos with Docker Model Runner:
```
docker model run hf.co/dxoth1nh/poc-llama-cpp-chat-template-recursion-dos
```

Lemonade

How to use dxoth1nh/poc-llama-cpp-chat-template-recursion-dos with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull dxoth1nh/poc-llama-cpp-chat-template-recursion-dos

Run and chat with the model

lemonade run user.poc-llama-cpp-chat-template-recursion-dos-{{QUANT_TAG}}

List all available models

lemonade list

You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Gated security PoC artifact

Proof-of-concept artifact for a responsibly disclosed model file vulnerability report.

Format: GGUF (.gguf)

This repository is for defensive validation and triage only. It is not a usable model. Do not request access unless you are the assigned reviewer.

Contents:

macro-recursion.gguf: crafted artifact
replay_llama_completion.py: bounded reproduction script for llama-completion
build-meta.json: local validation metadata and hashes

Expected reviewer flow:

Download the artifact into an isolated environment.
Build or provide llama-completion from the tested llama.cpp revision.
Run:

python3 replay_llama_completion.py --completion-bin /path/to/llama-completion

Expected result:

the process terminates with SIGSEGV (returncode 139) while handling the embedded chat template.

Downloads last month: 2

GGUF

Model size

293k params

Architecture

llama

Hardware compatibility

We're not able to determine the quantization variants.

View all variants

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support