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)# 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
Update config.json
Browse files- config.json +4 -2
config.json
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{
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"return_dict": true,
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"output_hidden_states": false,
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"output_attentions": false,
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"exponential_decay_length_penalty": null,
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"suppress_tokens": null,
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"begin_suppress_tokens": null,
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"architectures": null,
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"finetuning_task": null,
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"id2label": {
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"0": "LABEL_0",
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],
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"tie_embed": true,
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"use_flash": false,
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"model_type": "
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}
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{
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"return_dict": true,
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"output_hidden_states": false,
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"output_attentions": false,
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"exponential_decay_length_penalty": null,
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"suppress_tokens": null,
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"begin_suppress_tokens": null,
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"finetuning_task": null,
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"id2label": {
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"0": "LABEL_0",
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],
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"tie_embed": true,
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"use_flash": false,
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"model_type": "qwen2"
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}
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