Instructions to use nothingiisreal/MN-12B-Celeste-V1.9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use nothingiisreal/MN-12B-Celeste-V1.9 with Transformers:

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

pipe = pipeline("text-generation", model="nothingiisreal/MN-12B-Celeste-V1.9")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nothingiisreal/MN-12B-Celeste-V1.9")
model = AutoModelForCausalLM.from_pretrained("nothingiisreal/MN-12B-Celeste-V1.9")
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
Local Apps Settings

vLLM

How to use nothingiisreal/MN-12B-Celeste-V1.9 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "nothingiisreal/MN-12B-Celeste-V1.9"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "nothingiisreal/MN-12B-Celeste-V1.9",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/nothingiisreal/MN-12B-Celeste-V1.9

SGLang

How to use nothingiisreal/MN-12B-Celeste-V1.9 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 "nothingiisreal/MN-12B-Celeste-V1.9" \
    --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": "nothingiisreal/MN-12B-Celeste-V1.9",
		"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 "nothingiisreal/MN-12B-Celeste-V1.9" \
        --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": "nothingiisreal/MN-12B-Celeste-V1.9",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use nothingiisreal/MN-12B-Celeste-V1.9 with Docker Model Runner:
```
docker model run hf.co/nothingiisreal/MN-12B-Celeste-V1.9
```

aaronday3 commited on Jul 31, 2024

Commit

d5d1676

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@@ -28,7 +28,7 @@ license: apache-2.0
 <h1>Mistral Nemo 12B Celeste V1.9</h1>
 <h2 style="color: red; font-weight: bold;">Read the Usage Tips Below! Use ChatML.</h2><h2>Join <a href="https://discord.gg/EWzsFddYAd">our Discord</a> for testing newer versions and news! We are also on KoboldAI</h2>
-TODO New banner <img src="https://cdn-uploads.huggingface.co/production/uploads/630cf5d14ca0a22768bbe10c/QcU3xEgVu18jeFtMFxIw-.webp" alt="" width="800"/>
 We trained [Mistral NeMo 12B Instruct](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407) at 8K context using [Reddit Writing Prompts](https://huggingface.co/datasets/nothingiisreal/Reddit-Dirty-And-WritingPrompts), [Kalo's Opus 25K Instruct](https://huggingface.co/datasets/kalomaze/Opus_Instruct_25k) and
 <br>[c2 logs cleaned](https://huggingface.co/datasets/Sao10K/c2-Logs-Filtered)
@@ -64,9 +64,16 @@ TODO
 <h2>Sampler Settings for V1.9</h2>
-TODO
-If it falls into repetition set rep pen to 1.08 and increase temperature.<br>
 Don't shy away from experimenting after you get a feel for the model though.
 <h2>Preset</h2>

 <h1>Mistral Nemo 12B Celeste V1.9</h1>
 <h2 style="color: red; font-weight: bold;">Read the Usage Tips Below! Use ChatML.</h2><h2>Join <a href="https://discord.gg/EWzsFddYAd">our Discord</a> for testing newer versions and news! We are also on KoboldAI</h2>
+<img src="https://cdn-uploads.huggingface.co/production/uploads/630cf5d14ca0a22768bbe10c/QcU3xEgVu18jeFtMFxIw-.webp" alt="" width="800"/>
 We trained [Mistral NeMo 12B Instruct](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407) at 8K context using [Reddit Writing Prompts](https://huggingface.co/datasets/nothingiisreal/Reddit-Dirty-And-WritingPrompts), [Kalo's Opus 25K Instruct](https://huggingface.co/datasets/kalomaze/Opus_Instruct_25k) and
 <br>[c2 logs cleaned](https://huggingface.co/datasets/Sao10K/c2-Logs-Filtered)
 <h2>Sampler Settings for V1.9</h2>
+**Okay so there is actually 2 recommended ones this time**
+I usually start the first few messages with Stable and see how it goes. If it falls into repetition I switch to Creative. But you can also just use either the whole way through, creative may need a few swipes from time to time.
+<h3>Stable</h3>
+<img src="https://cdn-uploads.huggingface.co/production/uploads/630cf5d14ca0a22768bbe10c/1m18WnuomY8jEZTA87Iun.png" alt="" width="400"/>
+<h3>Creative</h3>
+<img src="https://cdn-uploads.huggingface.co/production/uploads/630cf5d14ca0a22768bbe10c/DaL2hWZst0yW34CYK4df8.png" alt="" width="400"/>
 Don't shy away from experimenting after you get a feel for the model though.
 <h2>Preset</h2>