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@@ -21,17 +21,14 @@ We're releasing these models in two different sizes:
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  ## Highlights
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- - **Schema-first extraction**: Strict, schema‑conformant JSON outputs
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- - **Simple I/O**: HTML + schema → JSON
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  - **Long context**: Robust to lengthy, noisy HTML (up to 128K tokens)
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- - **Reliable structure**: Works well with JSON mode and typed parsers
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  - **Variants**: 3B (default, most cost‑efficient) · 8B (marginal quality lift at ~2× cost)
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  ## Model Details
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  - **Family**: Schematron (3B and 8B)
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- - **Base**: Instruction‑tuned LLM, fine‑tuned for schema‑guided extraction
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  - **Context window**: Up to 128K tokens
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- - **Input**: Cleaned or raw HTML and a JSON Schema (or typed model)
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  - **Output**: Strict JSON that conforms to the provided schema
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  ## Minimal Quickstart
@@ -113,5 +110,5 @@ def construct_messages(schema: str, html: str):
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  See license in the metadata above.
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  ## Support
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- - Docs: https://docs.inference.net
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  - Email: support@inference.net
 
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  ## Highlights
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+ - **Schema-first extraction**: 100% schema‑conformant JSON outputs
 
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  - **Long context**: Robust to lengthy, noisy HTML (up to 128K tokens)
 
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  - **Variants**: 3B (default, most cost‑efficient) · 8B (marginal quality lift at ~2× cost)
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  ## Model Details
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  - **Family**: Schematron (3B and 8B)
 
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  - **Context window**: Up to 128K tokens
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+ - **Input**: Cleaned or raw HTML and a JSON Schema
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  - **Output**: Strict JSON that conforms to the provided schema
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  ## Minimal Quickstart
 
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  See license in the metadata above.
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  ## Support
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+ - Docs: https://docs.inference.net/use-cases/json-extraction
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  - Email: support@inference.net