Instructions to use Aryanne/MixSwap with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Aryanne/MixSwap with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="Aryanne/MixSwap")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Aryanne/MixSwap")
model = AutoModelForCausalLM.from_pretrained("Aryanne/MixSwap")

llama-cpp-python

How to use Aryanne/MixSwap with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Aryanne/MixSwap",
	filename="f16.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use Aryanne/MixSwap with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Aryanne/MixSwap:F16
# Run inference directly in the terminal:
llama-cli -hf Aryanne/MixSwap:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Aryanne/MixSwap:F16
# Run inference directly in the terminal:
llama-cli -hf Aryanne/MixSwap:F16

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 Aryanne/MixSwap:F16
# Run inference directly in the terminal:
./llama-cli -hf Aryanne/MixSwap:F16

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 Aryanne/MixSwap:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Aryanne/MixSwap:F16

Use Docker

docker model run hf.co/Aryanne/MixSwap:F16

LM Studio
Jan

vLLM

How to use Aryanne/MixSwap with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/Aryanne/MixSwap:F16

SGLang

How to use Aryanne/MixSwap with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "Aryanne/MixSwap" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Aryanne/MixSwap",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "Aryanne/MixSwap" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Aryanne/MixSwap",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Ollama
How to use Aryanne/MixSwap with Ollama:
```
ollama run hf.co/Aryanne/MixSwap:F16
```

Unsloth Studio new

How to use Aryanne/MixSwap 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 Aryanne/MixSwap 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 Aryanne/MixSwap to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Aryanne/MixSwap to start chatting

Docker Model Runner
How to use Aryanne/MixSwap with Docker Model Runner:
```
docker model run hf.co/Aryanne/MixSwap:F16
```

Lemonade

How to use Aryanne/MixSwap with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Aryanne/MixSwap:F16

Run and chat with the model

lemonade run user.MixSwap-F16

List all available models

lemonade list

Aryanne commited on Mar 23, 2024

Commit

2ef987e

verified ·

1 Parent(s): 20c64e3

Update mergekit_config.yml

Browse files

Files changed (1) hide show

mergekit_config.yml +3 -3

mergekit_config.yml CHANGED Viewed

@@ -1,6 +1,6 @@
 base_model:
   model:
-    path: /content/mergekit/test
 dtype: bfloat16
 merge_method: task_swapping
 slices:
@@ -26,7 +26,7 @@ slices:
   - layer_range: [0, 32]
     model:
       model:
-        path: /content/mergekit/tri
     parameters:
       diagonal_offset: 4.0
       random_mask: 0.05
@@ -35,4 +35,4 @@ slices:
   - layer_range: [0, 32]
     model:
       model:
-        path: /content/mergekit/test

 base_model:
   model:
+    path: Aryanne/Open-StarLake-Swap-7B
 dtype: bfloat16
 merge_method: task_swapping
 slices:
   - layer_range: [0, 32]
     model:
       model:
+        path: teknium/Mistral-Trismegistus-7B
     parameters:
       diagonal_offset: 4.0
       random_mask: 0.05
   - layer_range: [0, 32]
     model:
       model:
+        path: Aryanne/Open-StarLake-Swap-7B