Text Generation
Transformers
PyTorch
Safetensors
English
symbiotic-llm
Generated from Trainer
meta-math
qwen2
symbolic-ai
symbioticlm
convergentintel
conversational
Instructions to use reaperdoesntknow/Symbiotic-Beta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reaperdoesntknow/Symbiotic-Beta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="reaperdoesntknow/Symbiotic-Beta") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("reaperdoesntknow/Symbiotic-Beta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use reaperdoesntknow/Symbiotic-Beta with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "reaperdoesntknow/Symbiotic-Beta" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "reaperdoesntknow/Symbiotic-Beta", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/reaperdoesntknow/Symbiotic-Beta
- SGLang
How to use reaperdoesntknow/Symbiotic-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 "reaperdoesntknow/Symbiotic-Beta" \ --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": "reaperdoesntknow/Symbiotic-Beta", "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 "reaperdoesntknow/Symbiotic-Beta" \ --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": "reaperdoesntknow/Symbiotic-Beta", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use reaperdoesntknow/Symbiotic-Beta with Docker Model Runner:
docker model run hf.co/reaperdoesntknow/Symbiotic-Beta
Download special_tokens_map.json from reaperdoesntknow/Symbiotic-Beta: direct link, hf CLI and curl.
- Browser
- Download file 927 Bytes
-
https://huggingface.co/reaperdoesntknow/Symbiotic-Beta/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://reaperdoesntknow/Symbiotic-Beta/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/reaperdoesntknow/Symbiotic-Beta/resolve/main/special_tokens_map.json
927 Bytes
| { | |
| "additional_special_tokens": [ | |
| "<pad>", | |
| "<unk>", | |
| "<bos>", | |
| "<eos>", | |
| "<mask>", | |
| "<user>", | |
| "<assistant>", | |
| "<system>", | |
| "<image>", | |
| "<graph>", | |
| "<soft_token>", | |
| "<vis_0>", | |
| "<vis_1>" | |
| ], | |
| "bos_token": { | |
| "content": "<bos>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "<eos>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "mask_token": { | |
| "content": "<mask>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "<pad>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "unk_token": { | |
| "content": "<unk>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |