Instructions to use mygitphase/guhan-30b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mygitphase/guhan-30b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="mygitphase/guhan-30b", trust_remote_code=True) messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("mygitphase/guhan-30b", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use mygitphase/guhan-30b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "mygitphase/guhan-30b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "mygitphase/guhan-30b", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/mygitphase/guhan-30b
- SGLang
How to use mygitphase/guhan-30b 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 "mygitphase/guhan-30b" \ --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": "mygitphase/guhan-30b", "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 "mygitphase/guhan-30b" \ --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": "mygitphase/guhan-30b", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use mygitphase/guhan-30b with Docker Model Runner:
docker model run hf.co/mygitphase/guhan-30b
| {{- '[@BOS@]\n' }} | |
| {%- if tools -%} | |
| <|start_of_turn|><|tool_declare|> | |
| <tools> | |
| {% for tool in tools %} | |
| {{ tool | tojson(ensure_ascii=False) }} | |
| {% endfor %} | |
| </tools> | |
| {{- '<|end_of_turn|>\n' }}{%- endif -%} | |
| {%- macro visible_text(content) -%} | |
| {%- if content is string -%} | |
| {{- content }} | |
| {%- elif content is iterable and content is not mapping -%} | |
| {%- for item in content -%} | |
| {%- if item is mapping and item.type == 'text' -%} | |
| {{- item.text }} | |
| {%- elif item is string -%} | |
| {{- item }} | |
| {%- endif -%} | |
| {%- endfor -%} | |
| {%- elif content is none -%} | |
| {{- '' }} | |
| {%- else -%} | |
| {{- content }} | |
| {%- endif -%} | |
| {%- endmacro -%} | |
| {%- set ns = namespace(last_user_index=-1) %} | |
| {%- for m in messages %} | |
| {%- if m.role == 'user' %} | |
| {% set ns.last_user_index = loop.index0 -%} | |
| {%- endif %} | |
| {%- endfor %} | |
| {% for m in messages %} | |
| {%- if m.role == 'user' -%}<|start_of_turn|><|user|> | |
| {{ visible_text(m.content) }} | |
| {{- '<|nothink|>' if (enable_thinking is defined and not enable_thinking and not visible_text(m.content).endswith("<|nothink|>")) else '' -}} | |
| {{- '<|end_of_turn|>\n' }} | |
| {%- elif m.role == 'assistant' -%} | |
| {{- '<|start_of_turn|><|assistant|>\n' }} | |
| {%- set reasoning_content = '' %} | |
| {%- set content = visible_text(m.content) %} | |
| {%- if m.reasoning_content is string %} | |
| {%- set reasoning_content = m.reasoning_content %} | |
| {%- else %} | |
| {%- if '</think>' in content %} | |
| {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %} | |
| {%- set content = content.split('</think>')[-1].lstrip('\n') %} | |
| {%- endif %} | |
| {%- endif %} | |
| {%- if loop.index0 > ns.last_user_index and reasoning_content -%} | |
| {{ '<think>' + reasoning_content.strip() + '</think>'}} | |
| {%- else -%} | |
| {{ '<think></think>' }} | |
| {%- endif -%} | |
| {%- if content.strip() -%} | |
| {{ '\n' + content.strip() }} | |
| {%- endif -%} | |
| {% if m.tool_calls %} | |
| {% for tc in m.tool_calls %} | |
| {%- if tc.function %} | |
| {%- set tc = tc.function %} | |
| {%- endif %} | |
| {{ '\n<tool_call>' + tc.name }} | |
| {% set _args = tc.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 %} | |
| {{- '<|end_of_turn|>\n' }} | |
| {%- elif m.role == 'tool' -%} | |
| {%- if m.content is string -%} | |
| {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %} | |
| {{- '<|start_of_turn|><|observation|>' }} | |
| {%- endif %} | |
| {{- '\n<tool_response>\n' }} | |
| {{- m.content }} | |
| {{- '\n</tool_response>' }} | |
| {%- else -%} | |
| <|start_of_turn|><|observation|>{% for tr in m.content %} | |
| <tool_response> | |
| {{ tr.output if tr.output is defined else tr }} | |
| </tool_response>{% endfor -%} | |
| {% endif -%} | |
| {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %} | |
| {{- '<|end_of_turn|>\n' }}{%- endif -%} | |
| {%- elif m.role == 'system' -%} | |
| <|start_of_turn|><|system|> | |
| {{ visible_text(m.content) }} | |
| {{- '<|end_of_turn|>\n' }} | |
| {%- endif -%} | |
| {%- endfor -%} | |
| {%- if add_generation_prompt -%} | |
| {{- '<|start_of_turn|><|assistant|>\n' }} | |
| {%- endif -%} |