Text Generation
Transformers
Safetensors
English
qwen3
8b
qwen3-8b
symbiotic
symbtioicai
convergentintel
conversational
text-generation-inference
Instructions to use reaperdoesntknow/Symbiotic-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reaperdoesntknow/Symbiotic-8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="reaperdoesntknow/Symbiotic-8B") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("reaperdoesntknow/Symbiotic-8B") model = AutoModelForCausalLM.from_pretrained("reaperdoesntknow/Symbiotic-8B") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use reaperdoesntknow/Symbiotic-8B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "reaperdoesntknow/Symbiotic-8B" # 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-8B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/reaperdoesntknow/Symbiotic-8B
- SGLang
How to use reaperdoesntknow/Symbiotic-8B 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-8B" \ --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-8B", "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-8B" \ --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-8B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use reaperdoesntknow/Symbiotic-8B with Docker Model Runner:
docker model run hf.co/reaperdoesntknow/Symbiotic-8B
| { | |
| "max_length": 20, | |
| "max_new_tokens": null, | |
| "min_length": 0, | |
| "min_new_tokens": null, | |
| "early_stopping": false, | |
| "max_time": null, | |
| "stop_strings": null, | |
| "do_sample": true, | |
| "num_beams": 1, | |
| "num_beam_groups": 1, | |
| "penalty_alpha": null, | |
| "dola_layers": null, | |
| "use_cache": true, | |
| "cache_implementation": null, | |
| "cache_config": null, | |
| "return_legacy_cache": null, | |
| "prefill_chunk_size": null, | |
| "temperature": 0.6, | |
| "top_k": 20, | |
| "top_p": 0.95, | |
| "min_p": null, | |
| "typical_p": 1.0, | |
| "epsilon_cutoff": 0.0, | |
| "eta_cutoff": 0.0, | |
| "diversity_penalty": 0.0, | |
| "repetition_penalty": 1.0, | |
| "encoder_repetition_penalty": 1.0, | |
| "length_penalty": 1.0, | |
| "no_repeat_ngram_size": 0, | |
| "bad_words_ids": null, | |
| "force_words_ids": null, | |
| "renormalize_logits": false, | |
| "constraints": null, | |
| "forced_bos_token_id": null, | |
| "forced_eos_token_id": null, | |
| "remove_invalid_values": false, | |
| "exponential_decay_length_penalty": null, | |
| "suppress_tokens": null, | |
| "begin_suppress_tokens": null, | |
| "forced_decoder_ids": null, | |
| "sequence_bias": null, | |
| "token_healing": false, | |
| "guidance_scale": null, | |
| "low_memory": null, | |
| "watermarking_config": null, | |
| "num_return_sequences": 1, | |
| "output_attentions": false, | |
| "output_hidden_states": false, | |
| "output_scores": false, | |
| "output_logits": null, | |
| "return_dict_in_generate": false, | |
| "pad_token_id": 151643, | |
| "bos_token_id": 151643, | |
| "eos_token_id": [ | |
| 151645, | |
| 151643 | |
| ], | |
| "encoder_no_repeat_ngram_size": 0, | |
| "decoder_start_token_id": null, | |
| "is_assistant": false, | |
| "num_assistant_tokens": 20, | |
| "num_assistant_tokens_schedule": "constant", | |
| "assistant_confidence_threshold": 0.4, | |
| "prompt_lookup_num_tokens": null, | |
| "max_matching_ngram_size": null, | |
| "assistant_early_exit": null, | |
| "assistant_lookbehind": 10, | |
| "target_lookbehind": 10, | |
| "disable_compile": false, | |
| "generation_kwargs": {}, | |
| "_from_model_config": false, | |
| "transformers_version": "4.51.3" | |
| } |