Instructions to use NathMen12/Nyvex-Small-1.2-Beta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use NathMen12/Nyvex-Small-1.2-Beta with Transformers:

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

pipe = pipeline("text-generation", model="NathMen12/Nyvex-Small-1.2-Beta")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("NathMen12/Nyvex-Small-1.2-Beta")
model = AutoModelForCausalLM.from_pretrained("NathMen12/Nyvex-Small-1.2-Beta", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use NathMen12/Nyvex-Small-1.2-Beta with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "NathMen12/Nyvex-Small-1.2-Beta"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "NathMen12/Nyvex-Small-1.2-Beta",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/NathMen12/Nyvex-Small-1.2-Beta

SGLang

How to use NathMen12/Nyvex-Small-1.2-Beta 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 "NathMen12/Nyvex-Small-1.2-Beta" \
    --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": "NathMen12/Nyvex-Small-1.2-Beta",
		"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 "NathMen12/Nyvex-Small-1.2-Beta" \
        --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": "NathMen12/Nyvex-Small-1.2-Beta",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use NathMen12/Nyvex-Small-1.2-Beta with Docker Model Runner:
```
docker model run hf.co/NathMen12/Nyvex-Small-1.2-Beta
```

NathMen12 commited on May 23

Commit

68111b7

verified ·

1 Parent(s): 6f4c2a0

Update README.md

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README.md +1 -42

README.md CHANGED Viewed

@@ -10,45 +10,4 @@ model-index:
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
-# Nyvex-Small-1.2-Beta
-This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
-## Model description
-More information needed
-## Intended uses & limitations
-More information needed
-## Training and evaluation data
-More information needed
-## Training procedure
-### Training hyperparameters
-The following hyperparameters were used during training:
-- learning_rate: 0.0001
-- train_batch_size: 1
-- eval_batch_size: 8
-- seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 4
-- optimizer: Use OptimizerNames.ADAFACTOR and the args are:
-No additional optimizer arguments
-- lr_scheduler_type: linear
-- num_epochs: 1
-### Training results
-### Framework versions
-- Transformers 5.9.0
-- Pytorch 2.8.0+cu128
-- Datasets 4.8.5
-- Tokenizers 0.22.2

 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
+This model is still in training, so it is not yet capable of having a proper conversation