Instructions to use reaperdoesntknow/Symbiotic-Beta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

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", device_map="auto")
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", 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
```

reaperdoesntknow commited on Apr 26, 2025

Commit

96bc6a8

verified ·

1 Parent(s): 80788fb

Update tokenizer_config.json

Browse files

Files changed (1) hide show

tokenizer_config.json +2 -2

tokenizer_config.json CHANGED Viewed

@@ -122,14 +122,14 @@
   ],
   "bos_token": "<bos>",
   "bos_token_id": 2,
-  "chat_template": null,
   "clean_up_tokenization_spaces": false,
   "eos_token": "<eos>",
   "eos_token_id": 3,
   "extra_special_tokens": {},
   "mask_token": "<mask>",
   "mask_token_id": 4,
-  "max_length": 256,
   "model_input_names": [
     "input_ids",
     "token_type_ids",

   ],
   "bos_token": "<bos>",
   "bos_token_id": 2,
+  "chat_template": "{% for message in messages %}{% if message['role'] == 'system' %}<system>{{ message['content'] }}</system>\n{% elif message['role'] == 'user' %}<user>{{ message['content'] }}</user>\n{% elif message['role'] == 'assistant' %}<assistant>{{ message['content'] }}</assistant>\n{% endif %}{% endfor %}<assistant>",
   "clean_up_tokenization_spaces": false,
   "eos_token": "<eos>",
   "eos_token_id": 3,
   "extra_special_tokens": {},
   "mask_token": "<mask>",
   "mask_token_id": 4,
+  "max_length": 512,
   "model_input_names": [
     "input_ids",
     "token_type_ids",