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gguf : upd gguf conversion script
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@ -12,11 +12,14 @@ from sentencepiece import SentencePieceProcessor
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NDArray: 'TypeAlias' = 'np.ndarray[Any, Any]'
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def permute(weights: NDArray, n_head: int) -> NDArray:
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return (weights.reshape(n_head, 2, weights.shape[0] // n_head // 2, *weights.shape[1:])
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.swapaxes(1, 2)
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.reshape(weights.shape))
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if len(sys.argv) < 3:
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print("Usage: convert-h5-to-ggml.py dir-model ftype\n")
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print(" ftype == 0 -> float32")
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@ -56,7 +59,6 @@ for name in list_vars.keys():
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continue
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tensor_count += 1
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#fout = open(fname_out, "wb")
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gguf_writer = gguf.GGUFWriter.open(fname_out)
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with open(dir_model + "/config.json", "r", encoding="utf-8") as f:
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@ -118,14 +120,14 @@ if Path( dir_model + "/tokenizer.model").is_file():
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text = tokenizer.id_to_piece(i).replace("\u2581", " ").encode("utf-8")
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score: float = tokenizer.get_score(i)
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tokens.append( str(text) );
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scores.append( score );
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tokens.append(str(text))
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scores.append(score)
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print("write gguf tokens")
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gguf_writer.write_string("tokenizer.ggml.model", "llama")
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gguf_writer.write_array("tokenizer.ggml.tokens",tokens)
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gguf_writer.write_array("tokenizer.ggml.scores",scores)
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gguf_writer.write_tokenizer_model("llama")
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gguf_writer.write_token_list(tokens)
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gguf_writer.write_token_scores(scores)
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# TENSORS
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@ -197,7 +199,7 @@ for name in list_vars.keys():
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print(" Skip tensor: " + name)
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continue
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## permute these
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# permute these
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if name.endswith(".q_proj.weight") or name.endswith(".k_proj.weight"):
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print(" Permute tensor: " + name)
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data = permute(data, hparams["num_attention_heads"])
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@ -221,7 +223,6 @@ for name in list_vars.keys():
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data = data.astype(np.float32)
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ftype_cur = 0
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gguf_writer.write_tensor_padding()
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gguf_writer.write_tensor(data)
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gguf_writer.close()
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