Text Ranking
Transformers
Safetensors
sentence-transformers
multilingual
llama_nemotron_vl_rerank
feature-extraction
reranker
cross-encoder
visual-document-retrieval
question-answering retrieval
multimodal reranking
semantic-search
rag
custom_code
modelopt
Instructions to use nvidia/llama-nemotron-rerank-vl-1b-v2-fp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nvidia/llama-nemotron-rerank-vl-1b-v2-fp8 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nvidia/llama-nemotron-rerank-vl-1b-v2-fp8", trust_remote_code=True, device_map="auto") - sentence-transformers
How to use nvidia/llama-nemotron-rerank-vl-1b-v2-fp8 with sentence-transformers:
from sentence_transformers import CrossEncoder model = CrossEncoder("nvidia/llama-nemotron-rerank-vl-1b-v2-fp8", trust_remote_code=True) query = "Which planet is known as the Red Planet?" passages = [ "Venus is often called Earth's twin because of its similar size and proximity.", "Mars, known for its reddish appearance, is often referred to as the Red Planet.", "Jupiter, the largest planet in our solar system, has a prominent red spot.", "Saturn, famous for its rings, is sometimes mistaken for the Red Planet." ] scores = model.predict([(query, passage) for passage in passages]) print(scores) - Notebooks
- Google Colab
- Kaggle
| {{- bos_token }} | |
| {%- if custom_tools is defined %} | |
| {%- set tools = custom_tools %} | |
| {%- endif %} | |
| {%- if not tools_in_user_message is defined %} | |
| {%- set tools_in_user_message = true %} | |
| {%- endif %} | |
| {%- if not date_string is defined %} | |
| {%- if strftime_now is defined %} | |
| {%- set date_string = strftime_now("%d %b %Y") %} | |
| {%- else %} | |
| {%- set date_string = "26 Jul 2024" %} | |
| {%- endif %} | |
| {%- endif %} | |
| {%- if not tools is defined %} | |
| {%- set tools = none %} | |
| {%- endif %} | |
| {#- This block extracts the system message, so we can slot it into the right place. #} | |
| {%- if messages[0]['role'] == 'system' %} | |
| {%- set system_message = messages[0]['content']|trim %} | |
| {%- set messages = messages[1:] %} | |
| {%- else %} | |
| {%- set system_message = "" %} | |
| {%- endif %} | |
| {#- System message #} | |
| {{- "<|start_header_id|>system<|end_header_id|>\n\n" }} | |
| {%- if tools is not none %} | |
| {{- "Environment: ipython\n" }} | |
| {%- endif %} | |
| {{- "Cutting Knowledge Date: December 2023\n" }} | |
| {{- "Today Date: " + date_string + "\n\n" }} | |
| {%- if tools is not none and not tools_in_user_message %} | |
| {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }} | |
| {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }} | |
| {{- "Do not use variables.\n\n" }} | |
| {%- for t in tools %} | |
| {{- t | tojson(indent=4) }} | |
| {{- "\n\n" }} | |
| {%- endfor %} | |
| {%- endif %} | |
| {{- system_message }} | |
| {{- "<|eot_id|>" }} | |
| {#- Custom tools are passed in a user message with some extra guidance #} | |
| {%- if tools_in_user_message and not tools is none %} | |
| {#- Extract the first user message so we can plug it in here #} | |
| {%- if messages | length != 0 %} | |
| {%- set first_user_message = messages[0]['content']|trim %} | |
| {%- set messages = messages[1:] %} | |
| {%- else %} | |
| {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }} | |
| {%- endif %} | |
| {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}} | |
| {{- "Given the following functions, please respond with a JSON for a function call " }} | |
| {{- "with its proper arguments that best answers the given prompt.\n\n" }} | |
| {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }} | |
| {{- "Do not use variables.\n\n" }} | |
| {%- for t in tools %} | |
| {{- t | tojson(indent=4) }} | |
| {{- "\n\n" }} | |
| {%- endfor %} | |
| {{- first_user_message + "<|eot_id|>"}} | |
| {%- endif %} | |
| {%- for message in messages %} | |
| {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %} | |
| {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }} | |
| {%- elif 'tool_calls' in message %} | |
| {%- if not message.tool_calls|length == 1 %} | |
| {{- raise_exception("This model only supports single tool-calls at once!") }} | |
| {%- endif %} | |
| {%- set tool_call = message.tool_calls[0].function %} | |
| {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}} | |
| {{- '{"name": "' + tool_call.name + '", ' }} | |
| {{- '"parameters": ' }} | |
| {{- tool_call.arguments | tojson }} | |
| {{- "}" }} | |
| {{- "<|eot_id|>" }} | |
| {%- elif message.role == "tool" or message.role == "ipython" %} | |
| {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }} | |
| {%- if message.content is mapping or message.content is iterable %} | |
| {{- message.content | tojson }} | |
| {%- else %} | |
| {{- message.content }} | |
| {%- endif %} | |
| {{- "<|eot_id|>" }} | |
| {%- endif %} | |
| {%- endfor %} | |
| {%- if add_generation_prompt %} | |
| {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }} | |
| {%- endif %} | |