Text Generation
Transformers
Safetensors
laguna
laguna-s-2.1
vllm
conversational
custom_code
Eval Results
Instructions to use poolside/Laguna-S-2.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use poolside/Laguna-S-2.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="poolside/Laguna-S-2.1", trust_remote_code=True) messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("poolside/Laguna-S-2.1", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained("poolside/Laguna-S-2.1", trust_remote_code=True, device_map="auto") 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 poolside/Laguna-S-2.1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "poolside/Laguna-S-2.1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "poolside/Laguna-S-2.1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/poolside/Laguna-S-2.1
- SGLang
How to use poolside/Laguna-S-2.1 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 "poolside/Laguna-S-2.1" \ --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": "poolside/Laguna-S-2.1", "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 "poolside/Laguna-S-2.1" \ --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": "poolside/Laguna-S-2.1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use poolside/Laguna-S-2.1 with Docker Model Runner:
docker model run hf.co/poolside/Laguna-S-2.1
| {#- Iteration on laguna_glm_thinking_v8/chat_template.jinja -#} | |
| {#- No formatting instructions -#} | |
| {{- "〈|EOS|〉" -}} | |
| {%- set enable_thinking = enable_thinking | default(true) -%} | |
| {%- set add_generation_prompt = add_generation_prompt | default(false) -%} | |
| {%- set preserve_thinking = preserve_thinking | default(false) -%} | |
| {#- ───── header (system message) ───── -#} | |
| {#- A caller-supplied system message with empty content opts out of the default below, producing no <system> block — used to train without a system message. -#} | |
| {%- set system_message = "You are a helpful, conversationally-fluent assistant made by Poolside. You are here to be helpful to users through natural language conversations." -%} | |
| {%- if messages and messages[0].role == "system" -%} | |
| {%- set system_message = messages[0].content -%} | |
| {%- set messages = messages[1:] -%} | |
| {%- endif -%} | |
| {%- set has_sys = system_message and system_message.strip() -%} | |
| {%- if has_sys or tools or enable_thinking -%} | |
| {{- "<system>" -}} | |
| {%- if has_sys -%} | |
| {{- system_message.rstrip() -}} | |
| {%- if tools -%}{{- "\n\n" -}}{%- endif -%} | |
| {%- endif -%} | |
| {%- if tools -%} | |
| {{- "### Tools\n\n" -}} | |
| {{- "You may call functions to assist with the user query.\n" -}} | |
| {{- "All available function signatures are listed below:\n" -}} | |
| {{- "<available_tools>\n" -}} | |
| {%- for tool in tools -%} | |
| {{- (tool | tojson) ~ "\n" -}} | |
| {%- endfor -%} | |
| {{- "</available_tools>" -}} | |
| {%- endif -%} | |
| {{- "</system>\n" -}} | |
| {%- endif -%} | |
| {#- ───── main loop ───── -#} | |
| {%- for message in messages -%} | |
| {%- set content = message.content if message.content is string else "" -%} | |
| {%- if message.role == "user" -%} | |
| {{- "<user>" + content + "</user>\n" -}} | |
| {%- elif message.role == "assistant" -%} | |
| {%- generation -%} | |
| {{- "<assistant>" -}} | |
| {#- Extract reasoning content from message.reasoning (vLLM field name) or message.reasoning_content -#} | |
| {%- set reasoning_content = '' -%} | |
| {%- if message.reasoning is string -%} | |
| {%- set reasoning_content = message.reasoning -%} | |
| {%- elif message.reasoning_content is string -%} | |
| {%- set reasoning_content = message.reasoning_content -%} | |
| {%- endif -%} | |
| {#- Display reasoning content for all messages if enable_thinking -#} | |
| {%- if enable_thinking or preserve_thinking -%} | |
| {{- '<think>' + reasoning_content + '</think>' -}} | |
| {%- else -%} | |
| {{- '</think>' -}} | |
| {%- endif -%} | |
| {#- Display main content (trailing newline only when no tool_calls follow) -#} | |
| {%- if content -%} | |
| {{- content -}} | |
| {%- endif -%} | |
| {%- if message.tool_calls -%} | |
| {%- for tool_call in message.tool_calls -%} | |
| {%- set function_data = tool_call.function -%} | |
| {{- '<tool_call>' + function_data.name -}} | |
| {%- set _args = function_data.arguments -%} | |
| {%- for k, v in _args.items() -%} | |
| {{- "<arg_key>" ~ k ~ "</arg_key>" -}} | |
| {{- "<arg_value>" -}}{{- v | tojson(ensure_ascii=False) if v is not string else v -}}{{- "</arg_value>" -}} | |
| {%- endfor -%} | |
| {{- "</tool_call>" -}} | |
| {%- endfor -%} | |
| {%- endif -%} | |
| {{- "</assistant>\n" -}} | |
| {%- endgeneration -%} | |
| {%- elif message.role == "tool" -%} | |
| {{- "<tool_response>" + content + "</tool_response>\n" -}} | |
| {%- elif message.role == "system" -%} | |
| {#- Render additional system messages (the first one, if any, is handled separately in the header and was sliced off above) -#} | |
| {{- "<system>" + content + "</system>\n" -}} | |
| {%- endif -%} | |
| {%- endfor -%} | |
| {#- ───── generation prompt ───── -#} | |
| {%- if add_generation_prompt -%} | |
| {{- "<assistant>" -}} | |
| {#- ───── Include reasoning mode directive ───── -#} | |
| {%- if enable_thinking -%} | |
| {{- '<think>' -}} | |
| {%- else -%} | |
| {{- '</think>' -}} | |
| {%- endif -%} | |
| {%- endif -%} |