Undi95
/

Mistral-11B-Airoboros-RP-v1-GGUF

GGUF

Not-For-All-Audiences

nsfw

mistral

pretrained

Model card Files Files and versions

xet

Community

Instructions to use Undi95/Mistral-11B-Airoboros-RP-v1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use Undi95/Mistral-11B-Airoboros-RP-v1-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 Undi95/Mistral-11B-Airoboros-RP-v1-GGUF:Q6_K
# Run inference directly in the terminal:
llama cli -hf Undi95/Mistral-11B-Airoboros-RP-v1-GGUF:Q6_K

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Undi95/Mistral-11B-Airoboros-RP-v1-GGUF:Q6_K
# Run inference directly in the terminal:
llama cli -hf Undi95/Mistral-11B-Airoboros-RP-v1-GGUF:Q6_K

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 Undi95/Mistral-11B-Airoboros-RP-v1-GGUF:Q6_K
# Run inference directly in the terminal:
./llama-cli -hf Undi95/Mistral-11B-Airoboros-RP-v1-GGUF:Q6_K

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 Undi95/Mistral-11B-Airoboros-RP-v1-GGUF:Q6_K
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Undi95/Mistral-11B-Airoboros-RP-v1-GGUF:Q6_K

Use Docker

docker model run hf.co/Undi95/Mistral-11B-Airoboros-RP-v1-GGUF:Q6_K

LM Studio
Jan
Ollama
How to use Undi95/Mistral-11B-Airoboros-RP-v1-GGUF with Ollama:
```
ollama run hf.co/Undi95/Mistral-11B-Airoboros-RP-v1-GGUF:Q6_K
```

Unsloth Studio

How to use Undi95/Mistral-11B-Airoboros-RP-v1-GGUF 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 Undi95/Mistral-11B-Airoboros-RP-v1-GGUF 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 Undi95/Mistral-11B-Airoboros-RP-v1-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Undi95/Mistral-11B-Airoboros-RP-v1-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use Undi95/Mistral-11B-Airoboros-RP-v1-GGUF with Docker Model Runner:
```
docker model run hf.co/Undi95/Mistral-11B-Airoboros-RP-v1-GGUF:Q6_K
```

Lemonade

How to use Undi95/Mistral-11B-Airoboros-RP-v1-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Undi95/Mistral-11B-Airoboros-RP-v1-GGUF:Q6_K

Run and chat with the model

lemonade run user.Mistral-11B-Airoboros-RP-v1-GGUF-Q6_K

List all available models

lemonade list

Mistral-7B and airoboros-mistral2.2-7b glued together and finetuned with qlora of Pippa and LimaRPv3 dataset.

Description

This repo contains quantized files of Mistral-11B-Airoboros-RP-v1.

Model used

Mistral-7B-v0.1
airoboros-mistral2.2-7b
PIPPA dataset 11B qlora
LimaRPv3 dataset 11B qlora

Prompt template: Alpaca or default

Below is an instruction that describes a task. Write a response that appropriately completes the request.

### Instruction:
{prompt}

### Response:

USER: <prompt>
ASSISTANT:

The secret sauce

slices:
  - sources:
    - model: mistralai/Mistral-7B-v0.1
      layer_range: [0, 24]
  - sources:
    - model: teknium/airoboros-mistral2.2-7b
      layer_range: [8, 32]
merge_method: passthrough
dtype: float16

Special thanks to Sushi.

If you want to support me, you can here.

Downloads last month: 69

GGUF

Model size

11B params

Architecture

llama

Hardware compatibility

6-bit

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