Instructions to use Displaynamethecat/super-bot_chatter-0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Displaynamethecat/super-bot_chatter-0.1 with PEFT:

from peft import PeftModel
from transformers import AutoModelForCausalLM

base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-2b-it")
model = PeftModel.from_pretrained(base_model, "Displaynamethecat/super-bot_chatter-0.1")

Transformers

How to use Displaynamethecat/super-bot_chatter-0.1 with Transformers:

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Displaynamethecat/super-bot_chatter-0.1", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use Displaynamethecat/super-bot_chatter-0.1 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 Displaynamethecat/super-bot_chatter-0.1
# Run inference directly in the terminal:
llama cli -hf Displaynamethecat/super-bot_chatter-0.1

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Displaynamethecat/super-bot_chatter-0.1
# Run inference directly in the terminal:
llama cli -hf Displaynamethecat/super-bot_chatter-0.1

Build from source code

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf Displaynamethecat/super-bot_chatter-0.1
# Run inference directly in the terminal:
./build/bin/llama cli -hf Displaynamethecat/super-bot_chatter-0.1

Use Docker

docker model run hf.co/Displaynamethecat/super-bot_chatter-0.1

Llama new
LM Studio
Jan
Ollama
How to use Displaynamethecat/super-bot_chatter-0.1 with Ollama:
```
ollama run hf.co/Displaynamethecat/super-bot_chatter-0.1
```
Unsloth Desktop
Docker Model Runner
How to use Displaynamethecat/super-bot_chatter-0.1 with Docker Model Runner:
```
docker model run hf.co/Displaynamethecat/super-bot_chatter-0.1
```

Lemonade

How to use Displaynamethecat/super-bot_chatter-0.1 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Displaynamethecat/super-bot_chatter-0.1

Run and chat with the model

lemonade run user.super-bot_chatter-0.1-{{QUANT_TAG}}

List all available models

lemonade list

Atomic Chat

Super Bot adapter

This repository contains a PEFT LoRA adapter trained with Transformers. It is not a standalone model; load it with the base model google/gemma-2-2b-it and PEFT. The base model's access and license terms also apply. Review the training-data licenses and privacy requirements before redistributing this adapter.

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Model size

3B params

Architecture

gemma2

Hardware compatibility

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Model tree for Displaynamethecat/super-bot_chatter-0.1

Base model

google/gemma-2-2b

Finetuned

google/gemma-2-2b-it

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