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Author:
None
License:
Apache-2.0
Summary:
JANG — Adaptive Mixed-Precision Quantization for Apple Silicon. v2.5.18: DSV4 sampling defaults bumped to thinking-rep_penalty=1.15 / chat-rep_penalty=1.05 / max_new_tokens=4096 (audit-validated; prevents OOD-prompt repetition collapse in thinking mode). v2.5.17: force lazy parameter materialization at end of _hydrate_jangtq_model. v2.5.16: DSV4 eos list survives PreTrainedTokenizerFast fallback.
Latest version:
2.5.26
Required dependencies:
huggingface_hub
|
jinja2
|
numpy
|
safetensors
|
tqdm
Optional dependencies:
jang
|
mlx
|
mlx-lm
|
mlx-vlm
|
torch
|
transformers
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