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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- 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
Create generation_config.json
Browse files- generation_config.json +22 -0
generation_config.json
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{
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"do_sample": true,
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"temperature": 0.7,
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"top_k": 50,
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"top_p": 0.90,
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"typical_p": 0.95,
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"repetition_penalty": 1.2,
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"length_penalty": 1.0,
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"num_beams": 1,
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"num_return_sequences": 1,
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"early_stopping": false,
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"max_new_tokens": 256,
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"min_new_tokens": 16,
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"pad_token_id": 0,
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"bos_token_id": 2,
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"eos_token_id": 3,
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"use_cache": true,
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"return_dict_in_generate": true,
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"output_scores": false,
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"renormalize_logits": false,
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"exponential_decay_length_penalty": null
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}
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