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rst0070
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Model Details
Model Provider
rst0070
Model Tree
unsloth/Qwen3.5-0.8B
Input Modalities
Output Modalities
Supported Functionality
The adapter was trained on REBEL, so its output follows a Wikipedia-style contract:
This is the contract the model is built against. Inputs and evaluation should stay inside that contract — domain-specific terminology, informal text, or alternate relation ontologies are out of scope and will degrade quality.
The model emits structured JSON:
json
{ "entities": ["Entity A", "Entity B"], "relations": [ {"head": "Entity A", "relation": "relation_type", "tail": "Entity B"} ]}python
from transformers import pipeline pipe = pipeline( "text-generation", model="rst0070/tiny-graph-extractor-qwen3.5-0.8b-lora", max_new_tokens=1024,)messages = [ { "role": "system", "content": ( "You are a knowledge graph extraction assistant. " "Given a text, extract all entities and their relations as JSON. " "Output only valid JSON with no additional text." ) }, { "role": "user", "content": "Apple was founded by Steve Jobs, Steve Wozniak, and Ronald Wayne in 1976. Steve Jobs served as the CEO of Apple.", },] result = pipe(messages)response = result[0]['generated_text'][-1]print(response) import reimport json fence_re = re.compile(r"```(?:json)?\s*\n(.*?)\n```", re.DOTALL)match = fence_re.search(response["content"])if match: print(json.loads(match.group(1)))The training target was constructed to deviate as little as possible from the base model's natural output, so SFT only has to close the smallest possible gap:
Apache 2.0, inheriting from the base model and dataset license terms.
{ "entities": ["Entity A", "Entity B"], "relations": [ {"head": "Entity A", "relation": "relation_type", "tail": "Entity B"} ]}from transformers import pipeline pipe = pipeline( "text-generation", model="rst0070/tiny-graph-extractor-qwen3.5-0.8b-lora", max_new_tokens=1024,)messages = [ { "role": "system", "content": ( "You are a knowledge graph extraction assistant. " "Given a text, extract all entities and their relations as JSON. " "Output only valid JSON with no additional text." ) }, { "role": "user", "content": "Apple was founded by Steve Jobs, Steve Wozniak, and Ronald Wayne in 1976. Steve Jobs served as the CEO of Apple.", },] result = pipe(messages)response = result[0]['generated_text'][-1]print(response) import reimport json fence_re = re.compile(r"```(?:json)?\s*\n(.*?)\n```", re.DOTALL)match = fence_re.search(response["content"])if match: print(json.loads(match.group(1)))