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 +77 -26
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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"torchscript": false,
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"torch_dtype": null,
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"use_bfloat16": false,
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"tf_legacy_loss": false,
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"pruned_heads": {},
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"tie_word_embeddings": true,
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"chunk_size_feed_forward": 64,
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"is_encoder_decoder": false,
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"is_decoder": false,
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"cross_attention_hidden_size": null,
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"add_cross_attention": false,
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"tie_encoder_decoder": false,
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"max_length": 512,
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"min_length": 64,
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"do_sample": true,
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"early_stopping": false,
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"num_beams": 1,
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"num_beam_groups": 1,
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"diversity_penalty": 0.0,
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"temperature": 1.0,
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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": 1.0,
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"length_penalty": 1.0,
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"no_repeat_ngram_size": 1,
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"encoder_no_repeat_ngram_size": 0,
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"bad_words_ids": null,
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"num_return_sequences": 1,
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"output_scores": false,
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"return_dict_in_generate": false,
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"forced_bos_token_id": null,
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"forced_eos_token_id": null,
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"remove_invalid_values": 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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"1": "LABEL_1"
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},
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1
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},
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"tokenizer_class": null,
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"prefix": null,
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"bos_token_id": 2,
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"pad_token_id": 0,
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"eos_token_id": 3,
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"sep_token_id": null,
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"decoder_start_token_id": null,
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"task_specific_params": null,
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"problem_type": null,
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"_name_or_path": "",
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"_attn_implementation_autoset": true,
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"transformers_version": "4.51.3",
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"vocab_size": 37524,
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"d_model": 2048,
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"n_heads": 32,
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"n_layers": 16,
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"max_seq": 4096,
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"rope_base": 1000000.0,
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"dropout": 0.1,
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"adapters": [
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"lnn"
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],
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"tie_embed": true,
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"use_flash": false,
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"model_type": "symbiotic-llm"
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}
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