Instructions to use Undi95/ReMM-v2.2-L2-13B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Undi95/ReMM-v2.2-L2-13B-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Undi95/ReMM-v2.2-L2-13B-GGUF",
	filename="ReMM-v2.2-L2-13B.q4_K_S.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use Undi95/ReMM-v2.2-L2-13B-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Undi95/ReMM-v2.2-L2-13B-GGUF:Q4_K_S
# Run inference directly in the terminal:
llama-cli -hf Undi95/ReMM-v2.2-L2-13B-GGUF:Q4_K_S

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Undi95/ReMM-v2.2-L2-13B-GGUF:Q4_K_S
# Run inference directly in the terminal:
llama-cli -hf Undi95/ReMM-v2.2-L2-13B-GGUF:Q4_K_S

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/ReMM-v2.2-L2-13B-GGUF:Q4_K_S
# Run inference directly in the terminal:
./llama-cli -hf Undi95/ReMM-v2.2-L2-13B-GGUF:Q4_K_S

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/ReMM-v2.2-L2-13B-GGUF:Q4_K_S
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Undi95/ReMM-v2.2-L2-13B-GGUF:Q4_K_S

Use Docker

docker model run hf.co/Undi95/ReMM-v2.2-L2-13B-GGUF:Q4_K_S

LM Studio
Jan
Ollama
How to use Undi95/ReMM-v2.2-L2-13B-GGUF with Ollama:
```
ollama run hf.co/Undi95/ReMM-v2.2-L2-13B-GGUF:Q4_K_S
```

Unsloth Studio

How to use Undi95/ReMM-v2.2-L2-13B-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/ReMM-v2.2-L2-13B-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/ReMM-v2.2-L2-13B-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/ReMM-v2.2-L2-13B-GGUF to start chatting

Docker Model Runner
How to use Undi95/ReMM-v2.2-L2-13B-GGUF with Docker Model Runner:
```
docker model run hf.co/Undi95/ReMM-v2.2-L2-13B-GGUF:Q4_K_S
```

Lemonade

How to use Undi95/ReMM-v2.2-L2-13B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Undi95/ReMM-v2.2-L2-13B-GGUF:Q4_K_S

Run and chat with the model

lemonade run user.ReMM-v2.2-L2-13B-GGUF-Q4_K_S

List all available models

lemonade list

Re:MythoMax v2.2 (ReMM v2.2) is a recreation trial of the original MythoMax-L2-B13 with updated models.

This merge use SLERP merging method to merge ReML v2.2 and Huginn v1.2.

Explaination :

- ReML-v2.2: (Chronos-Beluga v2/Hermes/Airboros 2.2)
=> Keeping The-Face-Of-Goonery/Chronos-Beluga-v2-13bfp16
=> Replacing jondurbin/airoboros-l2-13b-2.2 by jondurbin/airoboros-l2-13b-2.2.1 (last version)
=> Keeping NousResearch/Nous-Hermes-Llama2-13b

With that :
- ReMM-v2.2: (ReML/Huginn v1.2)
=> Replacing ReMM by the one above (ReML v2.1)
=> Keeping The-Face-Of-Goonery/Huginn-13b-v1.2 (hottest)

Description

This repo contains quantized files of ReMM v2.1, a recreation of the original MythoMax, but updated and merged with SLERP.

Models used

The-Face-Of-Goonery/Chronos-Beluga-v2-13bfp16
jondurbin/airoboros-l2-13b-2.2.1
NousResearch/Nous-Hermes-Llama2-13b
The-Face-Of-Goonery/Huginn-13b-v1.2
ReML-v2.1-L2-13B (Private recreation trial of an updated Mythologic-L2-13B)

Prompt template: Alpaca

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

### Instruction:
{prompt}

### Response:

Special thanks to Sushi.

Downloads last month: 96

GGUF

Model size

13B params

Architecture

llama

Hardware compatibility

4-bit

5-bit

6-bit

8-bit

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