refactor : align config field names with Hugging Face

- dim -> hidden_size, n_layers -> num_hidden_layers - dim_ffn -> intermediate_size, n_heads -> num_attention_heads - n_kv_heads -> num_key_value_heads, max_len -> max_position_embeddings - norm_eps -> rms_norm_eps, tie_weight -> tie_word_embeddings - update model, inference, training, scripts, tests, docs
2026-07-20 22:05:31 +08:00
parent d7ac66fb73
commit 0c86c89af4
23 changed files with 202 additions and 166 deletions
@@ -85,7 +85,7 @@ All backends normalise tensors into `Store._data[Dict[str, List[Tensor]]]` + `St
 ```
 DatasetFactory.load(train_type, load_path, window_size, stride=None,
                    storage_type=None, tokenizer_path=None,
-                    max_len=2048, store=None)
+                    max_position_embeddings=2048, store=None)
  → BaseDataset.load(load_path, storage_type=None)
    → detect_format(load_path)
    → StoreFactory.create(storage_type)