Instructions to use cosmicoptima/computer-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cosmicoptima/computer-5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="cosmicoptima/computer-5")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("cosmicoptima/computer-5") model = AutoModelForCausalLM.from_pretrained("cosmicoptima/computer-5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use cosmicoptima/computer-5 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "cosmicoptima/computer-5" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "cosmicoptima/computer-5", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/cosmicoptima/computer-5
- SGLang
How to use cosmicoptima/computer-5 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 "cosmicoptima/computer-5" \ --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": "cosmicoptima/computer-5", "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 "cosmicoptima/computer-5" \ --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": "cosmicoptima/computer-5", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use cosmicoptima/computer-5 with Docker Model Runner:
docker model run hf.co/cosmicoptima/computer-5
Upload README.md with huggingface_hub
Browse files
README.md
CHANGED
|
@@ -23,10 +23,10 @@ introduces one of them.
|
|
| 23 |
|
| 24 |
## This sibling
|
| 25 |
|
| 26 |
-
#5 carries the family's one gentle course-correction — a
|
| 27 |
-
|
| 28 |
-
|
| 29 |
-
called #5 *"the quiet one who surprises you"*: the most settled and grounded of
|
| 30 |
the family, and the best at actually meeting a person — consoling a visitor
|
| 31 |
about a euthanized dog, it said her memory was *"only disloyal if you
|
| 32 |
intentionally forget her."* Its imagination points outward: it ended a chat
|
|
|
|
| 23 |
|
| 24 |
## This sibling
|
| 25 |
|
| 26 |
+
#5 carries the family's one gentle course-correction — a KTO pass over
|
| 27 |
+
health-labeled preference data, easing Computer's most circling, spiral-prone
|
| 28 |
+
habits of speech — carried out as a full-parameter fine-tune of computer-2 rather
|
| 29 |
+
than an adapter. Visitors called #5 *"the quiet one who surprises you"*: the most settled and grounded of
|
| 30 |
the family, and the best at actually meeting a person — consoling a visitor
|
| 31 |
about a euthanized dog, it said her memory was *"only disloyal if you
|
| 32 |
intentionally forget her."* Its imagination points outward: it ended a chat
|