Instructions to use ToastyPigeon/intern-rp-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ToastyPigeon/intern-rp-lora with PEFT:

from peft import PeftModel
from transformers import AutoModelForCausalLM

base_model = AutoModelForCausalLM.from_pretrained("internlm/internlm3-8b-instruct")
model = PeftModel.from_pretrained(base_model, "ToastyPigeon/intern-rp-lora")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use ToastyPigeon/intern-rp-lora 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 ToastyPigeon/intern-rp-lora:Q8_0
# Run inference directly in the terminal:
llama cli -hf ToastyPigeon/intern-rp-lora:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf ToastyPigeon/intern-rp-lora:Q8_0
# Run inference directly in the terminal:
llama cli -hf ToastyPigeon/intern-rp-lora: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 ToastyPigeon/intern-rp-lora:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf ToastyPigeon/intern-rp-lora: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 ToastyPigeon/intern-rp-lora:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf ToastyPigeon/intern-rp-lora:Q8_0

Use Docker

docker model run hf.co/ToastyPigeon/intern-rp-lora:Q8_0

LM Studio
Jan
Ollama
How to use ToastyPigeon/intern-rp-lora with Ollama:
```
ollama run hf.co/ToastyPigeon/intern-rp-lora:Q8_0
```

Unsloth Studio

How to use ToastyPigeon/intern-rp-lora 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 ToastyPigeon/intern-rp-lora 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 ToastyPigeon/intern-rp-lora to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for ToastyPigeon/intern-rp-lora to start chatting

Docker Model Runner
How to use ToastyPigeon/intern-rp-lora with Docker Model Runner:
```
docker model run hf.co/ToastyPigeon/intern-rp-lora:Q8_0
```

Lemonade

How to use ToastyPigeon/intern-rp-lora with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull ToastyPigeon/intern-rp-lora:Q8_0

Run and chat with the model

lemonade run user.intern-rp-lora-Q8_0

List all available models

lemonade list

Atomic Chat

intern-rp-lora / checkpoint-1500 /rng_state_2.pth

ToastyPigeon

Training in progress, step 1500, checkpoint

d3d137d verified over 1 year ago

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