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* common : increase max number of experts to 128 * common : add tensor LLM_TENSOR_FFN_NORM_EXPS for normalization before MoE that runs in parallel to attention + ffn * gguf-py : add architecture-specific block mappings that override selected general block mappings * convert-hf : add model conversion support for ArcticForCausalLM * convert-hf : use added_tokens_decoder from tokenizer_config.json to redefine tokens from SentencePiece model (only for ArcticForCausalLM) * llama : add inference support for LLM_ARCH_ARCTIC --------- Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com> |
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.. | ||
__init__.py | ||
constants.py | ||
gguf_reader.py | ||
gguf_writer.py | ||
gguf.py | ||
lazy.py | ||
py.typed | ||
quants.py | ||
tensor_mapping.py | ||
vocab.py |