Instructions to use MaziyarPanahi/MN-SlushoMix-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use MaziyarPanahi/MN-SlushoMix-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="MaziyarPanahi/MN-SlushoMix-GGUF",
	filename="MN-SlushoMix.Q5_K_M.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use MaziyarPanahi/MN-SlushoMix-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 MaziyarPanahi/MN-SlushoMix-GGUF:Q5_K_M
# Run inference directly in the terminal:
llama cli -hf MaziyarPanahi/MN-SlushoMix-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 MaziyarPanahi/MN-SlushoMix-GGUF:Q5_K_M
# Run inference directly in the terminal:
llama cli -hf MaziyarPanahi/MN-SlushoMix-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 MaziyarPanahi/MN-SlushoMix-GGUF:Q5_K_M
# Run inference directly in the terminal:
./llama-cli -hf MaziyarPanahi/MN-SlushoMix-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 MaziyarPanahi/MN-SlushoMix-GGUF:Q5_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf MaziyarPanahi/MN-SlushoMix-GGUF:Q5_K_M

Use Docker

docker model run hf.co/MaziyarPanahi/MN-SlushoMix-GGUF:Q5_K_M

LM Studio
Jan

vLLM

How to use MaziyarPanahi/MN-SlushoMix-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "MaziyarPanahi/MN-SlushoMix-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "MaziyarPanahi/MN-SlushoMix-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/MaziyarPanahi/MN-SlushoMix-GGUF:Q5_K_M

Ollama
How to use MaziyarPanahi/MN-SlushoMix-GGUF with Ollama:
```
ollama run hf.co/MaziyarPanahi/MN-SlushoMix-GGUF:Q5_K_M
```

Unsloth Studio

How to use MaziyarPanahi/MN-SlushoMix-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 MaziyarPanahi/MN-SlushoMix-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 MaziyarPanahi/MN-SlushoMix-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for MaziyarPanahi/MN-SlushoMix-GGUF to start chatting

How to use MaziyarPanahi/MN-SlushoMix-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf MaziyarPanahi/MN-SlushoMix-GGUF:Q5_K_M

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "MaziyarPanahi/MN-SlushoMix-GGUF:Q5_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use MaziyarPanahi/MN-SlushoMix-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf MaziyarPanahi/MN-SlushoMix-GGUF:Q5_K_M

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default MaziyarPanahi/MN-SlushoMix-GGUF:Q5_K_M

Run Hermes

hermes

Atomic Chat new
Docker Model Runner
How to use MaziyarPanahi/MN-SlushoMix-GGUF with Docker Model Runner:
```
docker model run hf.co/MaziyarPanahi/MN-SlushoMix-GGUF:Q5_K_M
```

Lemonade

How to use MaziyarPanahi/MN-SlushoMix-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull MaziyarPanahi/MN-SlushoMix-GGUF:Q5_K_M

Run and chat with the model

lemonade run user.MN-SlushoMix-GGUF-Q5_K_M

List all available models

lemonade list

MaziyarPanahi commited on Dec 6, 2024

Commit

0145401

verified ·

1 Parent(s): f25ea8d

Upload folder using huggingface_hub (#1)

Browse files

- 3739b22290da3e3eda930393977bc5368a16edbfc0a14711c1caad9a8dca2cc0 (3f38203010b6ab27eba4002dca9f133db3aff907)
- 0eccb40dcea300fa400151bbce755fd4ad90f2a000ec9c13fe6d8f6d538053b4 (b5d4d5d7c983214cbbd9a999d8090095e62c83bf)
- cd3456f653a759943e1c423051422ae72c8fafaefd4fd376ec6a70c9c7a88226 (b7971917bd13769cc840e044ac63e3695833c08c)
- 3793631c0f23b695940be9d7c6e400b7d68efb973069246e1a41bb7f93b4c60b (02cdb3e21d0533c457742b0fab3840c67ef61449)
- e8543c43feda0b8b2bc7c59b89cf7500b91533abaf1bc6f3221c1f8fd4d38204 (f5bb05135d232a41f5d23018618a4e7a31c2a336)
- 4e01886dbb301b5e44c20bd47cd5ae0f77abc7821e6f43ad23292539ac054937 (12a9209b8abeb6cc496dc8a2751b9a151eed4524)

Files changed (8) hide show

.gitattributes +6 -0
MN-SlushoMix-GGUF_imatrix.dat +3 -0
MN-SlushoMix.Q5_K_M.gguf +3 -0
MN-SlushoMix.Q5_K_S.gguf +3 -0
MN-SlushoMix.Q6_K.gguf +3 -0
MN-SlushoMix.Q8_0.gguf +3 -0
MN-SlushoMix.fp16.gguf +3 -0
README.md +45 -0

.gitattributes CHANGED Viewed

@@ -33,3 +33,9 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text

 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+MN-SlushoMix.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+MN-SlushoMix.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+MN-SlushoMix.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+MN-SlushoMix.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+MN-SlushoMix.fp16.gguf filter=lfs diff=lfs merge=lfs -text
+MN-SlushoMix-GGUF_imatrix.dat filter=lfs diff=lfs merge=lfs -text

MN-SlushoMix-GGUF_imatrix.dat ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:ff092828d14579a468aa2b7be12fce2c11f462411065dd846edfddd72d20add1
+size 7054394

MN-SlushoMix.Q5_K_M.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:b72f851fca824ebac1af30d96587a5dc07af65b2732cd95c0566da2b78b14a9f
+size 8727634944

MN-SlushoMix.Q5_K_S.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:d634cd9e89aac404c994fbe65dabc4fb00428139ca478a64ebcbe08e83119198
+size 8518738944

MN-SlushoMix.Q6_K.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:285e5006af34528280f1da7af130b63c0815a0f6993fdb3ef8378f72ce74e89a
+size 10056213504

MN-SlushoMix.Q8_0.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:978e2792baffdfe6e62fe110ef2644ed8251dbc0b4cee0c1a76b4228f3c495e2
+size 13022372864

MN-SlushoMix.fp16.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:3d1e7080ac6f704ddb7b7c9f4d96bc0377e067fb2aa18f980de3c0f8052834ab
+size 24504279840

README.md ADDED Viewed

	@@ -0,0 +1,45 @@

+---
+base_model: crestf411/MN-SlushoMix
+inference: false
+model_creator: crestf411
+model_name: MN-SlushoMix-GGUF
+pipeline_tag: text-generation
+quantized_by: MaziyarPanahi
+tags:
+- quantized
+- 2-bit
+- 3-bit
+- 4-bit
+- 5-bit
+- 6-bit
+- 8-bit
+- GGUF
+- text-generation
+---
+# [MaziyarPanahi/MN-SlushoMix-GGUF](https://huggingface.co/MaziyarPanahi/MN-SlushoMix-GGUF)
+- Model creator: [crestf411](https://huggingface.co/crestf411)
+- Original model: [crestf411/MN-SlushoMix](https://huggingface.co/crestf411/MN-SlushoMix)
+## Description
+[MaziyarPanahi/MN-SlushoMix-GGUF](https://huggingface.co/MaziyarPanahi/MN-SlushoMix-GGUF) contains GGUF format model files for [crestf411/MN-SlushoMix](https://huggingface.co/crestf411/MN-SlushoMix).
+### About GGUF
+GGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp.
+Here is an incomplete list of clients and libraries that are known to support GGUF:
+* [llama.cpp](https://github.com/ggerganov/llama.cpp). The source project for GGUF. Offers a CLI and a server option.
+* [llama-cpp-python](https://github.com/abetlen/llama-cpp-python), a Python library with GPU accel, LangChain support, and OpenAI-compatible API server.
+* [LM Studio](https://lmstudio.ai/), an easy-to-use and powerful local GUI for Windows and macOS (Silicon), with GPU acceleration. Linux available, in beta as of 27/11/2023.
+* [text-generation-webui](https://github.com/oobabooga/text-generation-webui), the most widely used web UI, with many features and powerful extensions. Supports GPU acceleration.
+* [KoboldCpp](https://github.com/LostRuins/koboldcpp), a fully featured web UI, with GPU accel across all platforms and GPU architectures. Especially good for story telling.
+* [GPT4All](https://gpt4all.io/index.html), a free and open source local running GUI, supporting Windows, Linux and macOS with full GPU accel.
+* [LoLLMS Web UI](https://github.com/ParisNeo/lollms-webui), a great web UI with many interesting and unique features, including a full model library for easy model selection.
+* [Faraday.dev](https://faraday.dev/), an attractive and easy to use character-based chat GUI for Windows and macOS (both Silicon and Intel), with GPU acceleration.
+* [candle](https://github.com/huggingface/candle), a Rust ML framework with a focus on performance, including GPU support, and ease of use.
+* [ctransformers](https://github.com/marella/ctransformers), a Python library with GPU accel, LangChain support, and OpenAI-compatible AI server. Note, as of time of writing (November 27th 2023), ctransformers has not been updated in a long time and does not support many recent models.
+## Special thanks
+🙏 Special thanks to [Georgi Gerganov](https://github.com/ggerganov) and the whole team working on [llama.cpp](https://github.com/ggerganov/llama.cpp/) for making all of this possible.