* convert : extend DEEPSEEK2 model architecture to support DeepseekV3ForCausalLM by adding EXPERT_WEIGHTS_NORM and EXPERT_GATING_FUNC model parameters and FFN_EXP_PROBS_B tensor type * vocab : add DeepSeek V3 pre-tokenizer regexes * unicode : handle ACCENT_MARK and SYMBOL categories in regex * llama : add DeepSeek V3 chat template, handle new model parameters and tensor types --------- Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com> |
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| .. | ||
| __init__.py | ||
| constants.py | ||
| gguf.py | ||
| gguf_reader.py | ||
| gguf_writer.py | ||
| lazy.py | ||
| metadata.py | ||
| py.typed | ||
| quants.py | ||
| tensor_mapping.py | ||
| utility.py | ||
| vocab.py | ||