Instructions to use DIvAndrey/Llama-3-SPPO-turbcat-RP-v0.1-alpha-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use DIvAndrey/Llama-3-SPPO-turbcat-RP-v0.1-alpha-GGUF 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 DIvAndrey/Llama-3-SPPO-turbcat-RP-v0.1-alpha-GGUF:Q5_K_M
# Run inference directly in the terminal:
llama cli -hf DIvAndrey/Llama-3-SPPO-turbcat-RP-v0.1-alpha-GGUF:Q5_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf DIvAndrey/Llama-3-SPPO-turbcat-RP-v0.1-alpha-GGUF:Q5_K_M
# Run inference directly in the terminal:
llama cli -hf DIvAndrey/Llama-3-SPPO-turbcat-RP-v0.1-alpha-GGUF:Q5_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 DIvAndrey/Llama-3-SPPO-turbcat-RP-v0.1-alpha-GGUF:Q5_K_M
# Run inference directly in the terminal:
./llama-cli -hf DIvAndrey/Llama-3-SPPO-turbcat-RP-v0.1-alpha-GGUF:Q5_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 DIvAndrey/Llama-3-SPPO-turbcat-RP-v0.1-alpha-GGUF:Q5_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf DIvAndrey/Llama-3-SPPO-turbcat-RP-v0.1-alpha-GGUF:Q5_K_M

Use Docker

docker model run hf.co/DIvAndrey/Llama-3-SPPO-turbcat-RP-v0.1-alpha-GGUF:Q5_K_M

LM Studio
Jan
Ollama
How to use DIvAndrey/Llama-3-SPPO-turbcat-RP-v0.1-alpha-GGUF with Ollama:
```
ollama run hf.co/DIvAndrey/Llama-3-SPPO-turbcat-RP-v0.1-alpha-GGUF:Q5_K_M
```
Unsloth Desktop
Docker Model Runner
How to use DIvAndrey/Llama-3-SPPO-turbcat-RP-v0.1-alpha-GGUF with Docker Model Runner:
```
docker model run hf.co/DIvAndrey/Llama-3-SPPO-turbcat-RP-v0.1-alpha-GGUF:Q5_K_M
```

Lemonade

How to use DIvAndrey/Llama-3-SPPO-turbcat-RP-v0.1-alpha-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull DIvAndrey/Llama-3-SPPO-turbcat-RP-v0.1-alpha-GGUF:Q5_K_M

Run and chat with the model

lemonade run user.Llama-3-SPPO-turbcat-RP-v0.1-alpha-GGUF-Q5_K_M

List all available models

lemonade list

Atomic Chat

Llama-3-SPPO-turbcat-RP-v0.1-alpha

These are GGUF quants of the Llama-3-SPPO-turbcat-RP-v0.1-alpha. For transformers version check another repo.

The following GGUF quants are currently available:

Q5_K_M (no imatrix)
Q8_0 (no imatrix)

Llama-3-SPPO-turbcat-RP-v0.1-alpha is a merge of the following models using mergekit:

🧩 Configuration

models:
  - model: Casual-Autopsy/L3-Umbral-Mind-RP-v3.0-8B
  - model: UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3+grimjim/Llama-3-Instruct-abliteration-LoRA-8B
  - model: turboderp/llama3-turbcat-instruct-8b
merge_method: model_stock
base_model: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
dtype: bfloat16

Downloads last month: 25

GGUF

Model size

8B params

Architecture

llama

Hardware compatibility

5-bit

8-bit

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