Instructions to use KoboldAI/Mistral-7B-Holodeck-1-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 KoboldAI/Mistral-7B-Holodeck-1-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 KoboldAI/Mistral-7B-Holodeck-1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf KoboldAI/Mistral-7B-Holodeck-1-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf KoboldAI/Mistral-7B-Holodeck-1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf KoboldAI/Mistral-7B-Holodeck-1-GGUF:Q4_K_M

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 KoboldAI/Mistral-7B-Holodeck-1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama cli -hf KoboldAI/Mistral-7B-Holodeck-1-GGUF:Q4_K_M

Use Docker

docker model run hf.co/KoboldAI/Mistral-7B-Holodeck-1-GGUF:Q4_K_M

Llama new
LM Studio
Jan

vLLM

How to use KoboldAI/Mistral-7B-Holodeck-1-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "KoboldAI/Mistral-7B-Holodeck-1-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "KoboldAI/Mistral-7B-Holodeck-1-GGUF",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/KoboldAI/Mistral-7B-Holodeck-1-GGUF:Q4_K_M

Ollama
How to use KoboldAI/Mistral-7B-Holodeck-1-GGUF with Ollama:
```
ollama run hf.co/KoboldAI/Mistral-7B-Holodeck-1-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use KoboldAI/Mistral-7B-Holodeck-1-GGUF with Docker Model Runner:
```
docker model run hf.co/KoboldAI/Mistral-7B-Holodeck-1-GGUF:Q4_K_M
```

Lemonade

How to use KoboldAI/Mistral-7B-Holodeck-1-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull KoboldAI/Mistral-7B-Holodeck-1-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Mistral-7B-Holodeck-1-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

Mistral 7B - Holodeck

This is the GGUF version of this model designed to be used with Koboldcpp, the easy and versitile program for AI co-writing and more. Because this is a co-writing model, you are expected to use the Story Mode inside the KoboldAI Lite interface.

Model Description

Mistral 7B-Holodeck is a finetune created using Mistral's 7B model.

Training data

The training data contains around 3000 ebooks in various genres. Most parts of the dataset have been prepended using the following text: [Genre: <genre1>, <genre2>]

### Limitations and Biases
Based on known problems with NLP technology, potential relevant factors include bias (gender, profession, race and religion).

Downloads last month: 796

GGUF

Model size

7B params

Architecture

llama

Hardware compatibility

2-bit

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8-bit

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