Instructions to use aabbdev/RWKV7-1.5B-20260805 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aabbdev/RWKV7-1.5B-20260805 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="aabbdev/RWKV7-1.5B-20260805", trust_remote_code=True) messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("aabbdev/RWKV7-1.5B-20260805", trust_remote_code=True, device_map="auto") - RWKV
How to use aabbdev/RWKV7-1.5B-20260805 with RWKV:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use aabbdev/RWKV7-1.5B-20260805 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "aabbdev/RWKV7-1.5B-20260805" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "aabbdev/RWKV7-1.5B-20260805", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/aabbdev/RWKV7-1.5B-20260805
- SGLang
How to use aabbdev/RWKV7-1.5B-20260805 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 "aabbdev/RWKV7-1.5B-20260805" \ --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": "aabbdev/RWKV7-1.5B-20260805", "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 "aabbdev/RWKV7-1.5B-20260805" \ --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": "aabbdev/RWKV7-1.5B-20260805", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use aabbdev/RWKV7-1.5B-20260805 with Docker Model Runner:
docker model run hf.co/aabbdev/RWKV7-1.5B-20260805
| {%- set add_generation_prompt = add_generation_prompt | default(false) -%} | |
| {%- set thinking = thinking | default(false) -%} | |
| {%- set bos_token = bos_token | default('', true) -%} | |
| {%- set tools = tools | default([], true) -%} | |
| {%- set ns = namespace(system_prompt='') -%} | |
| {%- for message in messages -%} | |
| {%- if message.role == 'system' -%} | |
| {%- set ns.system_prompt = message.content | trim -%} | |
| {%- endif -%} | |
| {%- endfor -%} | |
| {{- bos_token -}} | |
| {%- if ns.system_prompt or tools | length > 0 -%} | |
| {{ 'System: ' }}{{ ns.system_prompt }} | |
| {%- if tools | length > 0 -%} | |
| {%- if ns.system_prompt %}{{ '\n' }}{%- endif -%} | |
| {{ 'Tools:\n' -}} | |
| {{ tools | tojson }} | |
| {{ '\nWhen using a tool, return only a compact JSON function call in a ```json block, like {"name":"calculator","arguments":{"expression":"2+2"}}. The `name` field must be top-level, never inside `arguments`. Do not copy the tool schema into arguments. Otherwise answer normally.' }} | |
| {%- endif -%} | |
| {{ '\n\n' }} | |
| {%- endif -%} | |
| {%- for message in messages -%} | |
| {%- if message.role == 'user' -%} | |
| {{ 'User: ' ~ (message.content | trim) ~ '\n\n' }} | |
| {%- elif message.role == 'assistant' -%} | |
| {%- generation -%} | |
| {%- set content = message.content | default('', true) | trim -%} | |
| {{ 'Assistant:' }} | |
| {%- if message.tool_calls is defined and message.tool_calls | length > 0 -%} | |
| {%- if content %}{{ ' ' ~ content ~ '\n' }}{%- endif -%} | |
| {%- for tool_call in message.tool_calls -%} | |
| {%- if tool_call.function is defined -%} | |
| {%- set name = tool_call.function.name | default('') -%} | |
| {%- set args = tool_call.function.arguments | default({}, true) -%} | |
| {%- else -%} | |
| {%- set name = tool_call.name | default('') -%} | |
| {%- set args = tool_call.arguments | default({}, true) -%} | |
| {%- endif -%} | |
| {{ ' ```json\n' -}} | |
| {{ '{"name": ' }}{{ name | tojson }}{{ ', "arguments": ' }}{% if args is string %}{{ args }}{% else %}{{ args | tojson }}{% endif %}{{ '}\n' -}} | |
| {{ '```' }}{{ '\n' if not loop.last else '' }} | |
| {%- endfor -%} | |
| {%- elif content -%} | |
| {{ ' ' ~ content }} | |
| {%- endif -%} | |
| {{ '\n\n' }} | |
| {%- endgeneration -%} | |
| {%- elif message.role == 'tool' -%} | |
| {{ 'User: Function output:\n' ~ (message.content | trim) ~ '\n\n' }} | |
| {%- endif -%} | |
| {%- endfor -%} | |
| {%- if add_generation_prompt -%} | |
| {%- if thinking -%} | |
| {{ 'Assistant: <think' }} | |
| {%- else -%} | |
| {{ 'Assistant: <think></think>\n' }} | |
| {%- endif -%} | |
| {%- endif -%} | |