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Instructions to use Netrve/Loyal-Silicon-Maid-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Netrve/Loyal-Silicon-Maid-7B with Transformers:

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

pipe = pipeline("text-generation", model="Netrve/Loyal-Silicon-Maid-7B")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Netrve/Loyal-Silicon-Maid-7B")
model = AutoModelForCausalLM.from_pretrained("Netrve/Loyal-Silicon-Maid-7B", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Netrve/Loyal-Silicon-Maid-7B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Netrve/Loyal-Silicon-Maid-7B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Netrve/Loyal-Silicon-Maid-7B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Netrve/Loyal-Silicon-Maid-7B

SGLang

How to use Netrve/Loyal-Silicon-Maid-7B 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 "Netrve/Loyal-Silicon-Maid-7B" \
    --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": "Netrve/Loyal-Silicon-Maid-7B",
		"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 "Netrve/Loyal-Silicon-Maid-7B" \
        --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": "Netrve/Loyal-Silicon-Maid-7B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Netrve/Loyal-Silicon-Maid-7B with Docker Model Runner:
```
docker model run hf.co/Netrve/Loyal-Silicon-Maid-7B
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

Loyal-Silicon-Maid-7B

This is a merge of pre-trained language models created using mergekit.

I liked both Silicon-Maid and Loyal-Macaroni-Maid by SanjiWatsuki, but was looking for a middle ground, so I made my first merge using both. Let me know how it runs for you and what your results or issues are, this is my first attempt so it might be rough.

Merge Details

Merge Method

This model was merged using the DARE TIES merge method using SanjiWatsuki/Loyal-Macaroni-Maid-7B as a base.

Models Merged

The following models were included in the merge:

SanjiWatsuki/Silicon-Maid-7B

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: SanjiWatsuki/Loyal-Macaroni-Maid-7B
  - model: SanjiWatsuki/Silicon-Maid-7B
    parameters:
      weight: 0.4
      density: 0.8
merge_method: dare_ties
base_model: SanjiWatsuki/Loyal-Macaroni-Maid-7B
parameters:
  int8_mask: true
dtype: bfloat16

Prompt Template (Alpaca)

Important Note: The limit of the context length is 8192 tokens.
Credits: Taken from original card by SanjiWatsuki

I found the best SillyTavern results from using the Noromaid template but please try other templates! Let me know if you find anything good.

SillyTavern config files: Context, Instruct.

Additionally, here is my highly recommended Text Completion preset. You can tweak this by adjusting temperature up or dropping min p to boost creativity or raise min p to increase stability. You shouldn't need to touch anything else!

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

### Instruction:
{prompt}

### Response:

Downloads last month: 14

Safetensors

Model size

7B params

Tensor type

BF16

Model tree for Netrve/Loyal-Silicon-Maid-7B

SanjiWatsuki/Loyal-Macaroni-Maid-7B

SanjiWatsuki/Silicon-Maid-7B

Merge model

this model

Quantizations

1 model

Papers for Netrve/Loyal-Silicon-Maid-7B

Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

Paper • 2311.03099 • Published Nov 6, 2023 • 38

Resolving Interference When Merging Models

Paper • 2306.01708 • Published Jun 2, 2023 • 19