Dedicated Endpoints

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README

License: apache-2.0

Numbers

  • Validation cosine similarity: 0.943
  • Trained on 5,281 descriptions, LoRA r=32, 10 epochs
  • Cross-validates with Anthropic AR at 84% agreement on AV-generated descriptions

How scoring works

  1. Feed description through model with injection token
  2. Forward hook captures hidden state at layer 20, injection position
  3. Cosine similarity between captured hidden and target activation = score
  4. Higher score means the description better captures what the model was computing

Related

Model provider

anicka

Model tree

Base

Qwen/Qwen2.5-7B-Instruct

Adapter

this model

Modalities

Input

Text

Output

Text

Pricing

Dedicated Endpoints

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Supported Functionality

Model APIs

Dedicated Endpoints

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