Text Generation
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Instructions to use OddTheGreat/Textolite_24B_V.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OddTheGreat/Textolite_24B_V.2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="OddTheGreat/Textolite_24B_V.2")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("OddTheGreat/Textolite_24B_V.2") model = AutoModelForCausalLM.from_pretrained("OddTheGreat/Textolite_24B_V.2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use OddTheGreat/Textolite_24B_V.2 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "OddTheGreat/Textolite_24B_V.2" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "OddTheGreat/Textolite_24B_V.2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/OddTheGreat/Textolite_24B_V.2
- SGLang
How to use OddTheGreat/Textolite_24B_V.2 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 "OddTheGreat/Textolite_24B_V.2" \ --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": "OddTheGreat/Textolite_24B_V.2", "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 "OddTheGreat/Textolite_24B_V.2" \ --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": "OddTheGreat/Textolite_24B_V.2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use OddTheGreat/Textolite_24B_V.2 with Docker Model Runner:
docker model run hf.co/OddTheGreat/Textolite_24B_V.2
File size: 585 Bytes
db95ab5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | models:
- model: Delta-Vector/Rei-24B-KTO
parameters:
density: 0.25
weight: 0.25
- model: OddTheGreat/Mechanism_24B_V.1
parameters:
density: 0.25
weight: 0.25
- model: zerofata/MS3.2-PaintedFantasy-v2-24B
parameters:
density: 0.25
weight: 0.25
- model: Doctor-Shotgun/MS3.2-24B-Magnum-Diamond
parameters:
density: 0.25
weight: 0.25
merge_method: ties
base_model: OddTheGreat/Mechanism_24B_V.1
parameters:
normalize: false
int8_mask: false
dtype: float16
tokenizer:
source: union |