Instructions to use Moraliane/SAINEMO-reMIX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Moraliane/SAINEMO-reMIX with Transformers:

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

pipe = pipeline("text-generation", model="Moraliane/SAINEMO-reMIX")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Moraliane/SAINEMO-reMIX")
model = AutoModelForCausalLM.from_pretrained("Moraliane/SAINEMO-reMIX")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Moraliane/SAINEMO-reMIX with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/Moraliane/SAINEMO-reMIX

SGLang

How to use Moraliane/SAINEMO-reMIX 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 "Moraliane/SAINEMO-reMIX" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Moraliane/SAINEMO-reMIX",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "Moraliane/SAINEMO-reMIX" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Moraliane/SAINEMO-reMIX",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Moraliane/SAINEMO-reMIX with Docker Model Runner:
```
docker model run hf.co/Moraliane/SAINEMO-reMIX
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

SAINEMO-reMIX

GGUF: thx team mradermacher

https://huggingface.co/mradermacher/SAINEMO-reMIX-GGUF

GGUF imatrix

https://huggingface.co/mradermacher/SAINEMO-reMIX-i1-GGUF

learderboard

Presets

The given presets are quite suitable for this model. https://huggingface.co/MarinaraSpaghetti/SillyTavern-Settings/tree/main/Customized/Mistral%20Improved

Sampler

Temp - 0,7 - 1,2 ~
TopA - 0,1
DRY - 0,8 1,75 2 0
I recommend trying the stock presets from SillyTavern, such as simple-1.

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

Merge Details

Merge Method

This model was merged using the della_linear merge method using E:\Programs\TextGen\text-generation-webui\models\IlyaGusev_saiga_nemo_12b as a base.

Models Merged

The following models were included in the merge:

E:\Programs\TextGen\text-generation-webui\models\elinas_Chronos-Gold-12B-1.0
E:\Programs\TextGen\text-generation-webui\models\Vikhrmodels_Vikhr-Nemo-12B-Instruct-R-21-09-24
E:\Programs\TextGen\text-generation-webui\models\MarinaraSpaghetti_NemoMix-Unleashed-12B

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: E:\Programs\TextGen\text-generation-webui\models\IlyaGusev_saiga_nemo_12b
    parameters:
      weight: 0.55  # Основной акцент на русском языке
      density: 0.4
  - model: E:\Programs\TextGen\text-generation-webui\models\MarinaraSpaghetti_NemoMix-Unleashed-12B
    parameters:
      weight: 0.2  # РП модель, чуть меньший вес из-за ориентации на английский
      density: 0.4
  - model: E:\Programs\TextGen\text-generation-webui\models\elinas_Chronos-Gold-12B-1.0
    parameters:
      weight: 0.15  # Вторая РП модель
      density: 0.4
  - model: E:\Programs\TextGen\text-generation-webui\models\Vikhrmodels_Vikhr-Nemo-12B-Instruct-R-21-09-24
    parameters:
      weight: 0.25  # Русскоязычная поддержка и баланс
      density: 0.4

merge_method: della_linear
base_model: E:\Programs\TextGen\text-generation-webui\models\IlyaGusev_saiga_nemo_12b
parameters:
  epsilon: 0.05
  lambda: 1
dtype: float16
tokenizer_source: base