Instructions to use mradermacher/Mixllama3-8x8b-Instruct-v0.1-i1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mradermacher/Mixllama3-8x8b-Instruct-v0.1-i1-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mradermacher/Mixllama3-8x8b-Instruct-v0.1-i1-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use mradermacher/Mixllama3-8x8b-Instruct-v0.1-i1-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 mradermacher/Mixllama3-8x8b-Instruct-v0.1-i1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/Mixllama3-8x8b-Instruct-v0.1-i1-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 mradermacher/Mixllama3-8x8b-Instruct-v0.1-i1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/Mixllama3-8x8b-Instruct-v0.1-i1-GGUF:Q4_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 mradermacher/Mixllama3-8x8b-Instruct-v0.1-i1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf mradermacher/Mixllama3-8x8b-Instruct-v0.1-i1-GGUF:Q4_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 mradermacher/Mixllama3-8x8b-Instruct-v0.1-i1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mradermacher/Mixllama3-8x8b-Instruct-v0.1-i1-GGUF:Q4_K_M

Use Docker

docker model run hf.co/mradermacher/Mixllama3-8x8b-Instruct-v0.1-i1-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use mradermacher/Mixllama3-8x8b-Instruct-v0.1-i1-GGUF with Ollama:
```
ollama run hf.co/mradermacher/Mixllama3-8x8b-Instruct-v0.1-i1-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use mradermacher/Mixllama3-8x8b-Instruct-v0.1-i1-GGUF with Docker Model Runner:
```
docker model run hf.co/mradermacher/Mixllama3-8x8b-Instruct-v0.1-i1-GGUF:Q4_K_M
```

Lemonade

How to use mradermacher/Mixllama3-8x8b-Instruct-v0.1-i1-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull mradermacher/Mixllama3-8x8b-Instruct-v0.1-i1-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Mixllama3-8x8b-Instruct-v0.1-i1-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

mradermacher commited on Dec 10, 2024

Commit

7c62911

verified ·

1 Parent(s): 45c46e8

uploaded from db3

Browse files

Files changed (2) hide show

.gitattributes +1 -0
Mixllama3-8x8b-Instruct-v0.1.i1-Q4_0.gguf +3 -0

.gitattributes CHANGED Viewed

@@ -53,3 +53,4 @@ Mixllama3-8x8b-Instruct-v0.1.i1-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
 Mixllama3-8x8b-Instruct-v0.1.i1-IQ2_S.gguf filter=lfs diff=lfs merge=lfs -text
 Mixllama3-8x8b-Instruct-v0.1.i1-IQ1_S.gguf filter=lfs diff=lfs merge=lfs -text
 Mixllama3-8x8b-Instruct-v0.1.i1-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text

 Mixllama3-8x8b-Instruct-v0.1.i1-IQ2_S.gguf filter=lfs diff=lfs merge=lfs -text
 Mixllama3-8x8b-Instruct-v0.1.i1-IQ1_S.gguf filter=lfs diff=lfs merge=lfs -text
 Mixllama3-8x8b-Instruct-v0.1.i1-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Mixllama3-8x8b-Instruct-v0.1.i1-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text

Mixllama3-8x8b-Instruct-v0.1.i1-Q4_0.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:94d0f1c3f497aeb8d43096a677579de94c519cb68229b6b09284b21332174283
+size 27113325216