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Model Details
Model Provider
blackfish021
Model Tree
andreasmartin/apertus-v1.5-8b-text
Input Modalities
Output Modalities
Supported Functionality
andreasmartin/apertus-v1.5-8b-text (text-only conversion of
swiss-ai/Apertus-v1.5-8B).adapter_model.safetensors and adapter_config.json at the root are the released
adapter; adapter-epoch1/ and checkpoint/ are training artefacts.results/design/readers3.json): on the policy language the
share of sentences applied wrongly without a question falls from 4.6 % to 3.7 % at 2.8 % of
sentences asked about; on instruction types shown to no component from 46.6 % to 16.2 % at
31.6 % asked. An untrained Apertus 70B as the second reader leaves 0.2 % and 0.0 % at 13.4 %
and 69.2 % asked: two readers of one recipe share most misreadings, a reader that differs
catches more, at the price of more questions.As reader 1 (see its card), with this repository's name. The project's console
(src/console.py) runs both readers side by side and asks when they differ. A GGUF of the
adapter for llama.cpp is in blackfish021/apertus-lightpath-translator-v3-gguf.
Research and prototyping on a simulator; synthetic sentences; the language carries seven slots. Other models' role: Claude (Anthropic) wrote the project's code and documentation under the author's direction, the sentence templates of the training data and, as separate instances that never saw the repository, the test sentences; no other model is part of the system. The author wrote the template lines (a test set) partly with ChatGPT 6.1 Sol (OpenAI).
Repository: github.com/theBlackfish01/ApertusNetworkGym (track_2b/).