Text Generation
Transformers
Safetensors
llama
mergekit
Merge
conversational
text-generation-inference
Instructions to use ReadyArt/NOT-FOR-USE-Space-Wars-Component-Step1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ReadyArt/NOT-FOR-USE-Space-Wars-Component-Step1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="ReadyArt/NOT-FOR-USE-Space-Wars-Component-Step1") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ReadyArt/NOT-FOR-USE-Space-Wars-Component-Step1") model = AutoModelForCausalLM.from_pretrained("ReadyArt/NOT-FOR-USE-Space-Wars-Component-Step1") 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]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use ReadyArt/NOT-FOR-USE-Space-Wars-Component-Step1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ReadyArt/NOT-FOR-USE-Space-Wars-Component-Step1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ReadyArt/NOT-FOR-USE-Space-Wars-Component-Step1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/ReadyArt/NOT-FOR-USE-Space-Wars-Component-Step1
- SGLang
How to use ReadyArt/NOT-FOR-USE-Space-Wars-Component-Step1 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 "ReadyArt/NOT-FOR-USE-Space-Wars-Component-Step1" \ --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": "ReadyArt/NOT-FOR-USE-Space-Wars-Component-Step1", "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 "ReadyArt/NOT-FOR-USE-Space-Wars-Component-Step1" \ --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": "ReadyArt/NOT-FOR-USE-Space-Wars-Component-Step1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use ReadyArt/NOT-FOR-USE-Space-Wars-Component-Step1 with Docker Model Runner:
docker model run hf.co/ReadyArt/NOT-FOR-USE-Space-Wars-Component-Step1
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the DARE TIES merge method using SicariusSicariiStuff/Negative_LLAMA_70B as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
merge_method: dare_ties
base_model: SicariusSicariiStuff/Negative_LLAMA_70B
models:
- model: SicariusSicariiStuff/Negative_LLAMA_70B
parameters:
weight: 0.6
- model: TheDrummer/Anubis-70B-v1
parameters:
weight: 0.4
parameters:
density: 0.3
tokenizer:
source: union
chat_template: auto
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Paper • 2311.03099 • Published • 33