Ported Starcoder and added some assertions
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parent
02b9ccfd60
commit
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2 changed files with 14 additions and 41 deletions
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@ -20,28 +20,6 @@ if 'NO_LOCAL_GGUF' not in os.environ:
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import gguf
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import gguf
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def bytes_to_unicode():
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# ref: https://github.com/openai/gpt-2/blob/master/src/encoder.py
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"""
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Returns list of utf-8 byte and a corresponding list of unicode strings.
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The reversible bpe codes work on unicode strings.
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This means you need a large # of unicode characters in your vocab if you want to avoid UNKs.
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When you're at something like a 10B token dataset you end up needing around 5K for decent coverage.
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This is a significant percentage of your normal, say, 32K bpe vocab.
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To avoid that, we want lookup tables between utf-8 bytes and unicode strings.
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And avoids mapping to whitespace/control characters the bpe code barfs on.
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"""
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bs = list(range(ord("!"), ord("~")+1))+list(range(ord("¡"), ord("¬")+1))+list(range(ord("®"), ord("ÿ")+1))
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cs = bs[:]
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n = 0
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for b in range(2**8):
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if b not in bs:
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bs.append(b)
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cs.append(2**8+n)
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n += 1
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return dict(zip(bs, (chr(n) for n in cs)))
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def count_model_parts(dir_model: Path) -> int:
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def count_model_parts(dir_model: Path) -> int:
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num_parts = 0
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num_parts = 0
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for filename in os.listdir(dir_model):
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for filename in os.listdir(dir_model):
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@ -117,6 +95,8 @@ gguf_writer.add_file_type(ftype)
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print("gguf: get tokenizer metadata")
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print("gguf: get tokenizer metadata")
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tokens: list[bytearray] = []
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tokens: list[bytearray] = []
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scores: list[float] = []
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toktypes: list[int] = []
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tokenizer_json_file = dir_model / 'tokenizer.json'
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tokenizer_json_file = dir_model / 'tokenizer.json'
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if not tokenizer_json_file.is_file():
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if not tokenizer_json_file.is_file():
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@ -139,28 +119,15 @@ vocab_size = hparams["vocab_size"] if "vocab_size" in hparams else len(tokenizer
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tokenizer = AutoTokenizer.from_pretrained(dir_model)
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tokenizer = AutoTokenizer.from_pretrained(dir_model)
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reverse_vocab = {id: encoded_tok for encoded_tok, id in tokenizer.vocab.items()}
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reverse_vocab = {id: encoded_tok for encoded_tok, id in tokenizer.vocab.items()}
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byte_encoder = bytes_to_unicode()
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byte_decoder = {v: k for k, v in byte_encoder.items()}
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for i in range(vocab_size):
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for i in range(vocab_size):
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if i in reverse_vocab:
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tokens.append(reverse_vocab[i])
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try:
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scores.append(0.0) # dummy
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text = bytearray([byte_decoder[c] for c in reverse_vocab[i]])
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toktypes.append(gguf.TokenType.NORMAL)
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except KeyError:
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text = bytearray()
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for c in reverse_vocab[i]:
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if ord(c) < 256: # single byte character
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text.append(byte_decoder[ord(c)])
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else: # multibyte special token character
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text.extend(c.encode('utf-8'))
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else:
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print(f"Key {i} not in tokenizer vocabulary. Padding with an arbitrary token.")
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pad_token = f"[PAD{i}]".encode("utf8")
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text = bytearray(pad_token)
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tokens.append(text)
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gguf_writer.add_token_list(tokens)
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gguf_writer.add_token_list(tokens)
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gguf_writer.add_token_scores(scores)
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gguf_writer.add_token_types(toktypes)
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special_vocab = gguf.SpecialVocab(dir_model, load_merges = True)
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special_vocab = gguf.SpecialVocab(dir_model, load_merges = True)
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special_vocab.add_to_gguf(gguf_writer)
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special_vocab.add_to_gguf(gguf_writer)
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@ -405,12 +405,15 @@ static int codepoint_type(std::string utf8) {
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static std::unordered_map<uint8_t, std::string> bytes_to_unicode_map_bpe() {
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static std::unordered_map<uint8_t, std::string> bytes_to_unicode_map_bpe() {
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std::unordered_map<uint8_t, std::string> map;
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std::unordered_map<uint8_t, std::string> map;
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for (int ch = u'!'; ch <= u'~'; ++ch) {
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for (int ch = u'!'; ch <= u'~'; ++ch) {
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assert(0 <= ch && ch < 256);
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map[ch] = codepoint_to_utf8(ch);
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map[ch] = codepoint_to_utf8(ch);
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}
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}
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for (int ch = u'¡'; ch <= u'¬'; ++ch) {
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for (int ch = u'¡'; ch <= u'¬'; ++ch) {
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assert(0 <= ch && ch < 256);
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map[ch] = codepoint_to_utf8(ch);
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map[ch] = codepoint_to_utf8(ch);
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}
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}
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for (int ch = u'®'; ch <= u'ÿ'; ++ch) {
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for (int ch = u'®'; ch <= u'ÿ'; ++ch) {
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assert(0 <= ch && ch < 256);
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map[ch] = codepoint_to_utf8(ch);
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map[ch] = codepoint_to_utf8(ch);
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}
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}
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auto n = 0;
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auto n = 0;
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@ -431,12 +434,15 @@ static std::string bytes_to_unicode_bpe(uint8_t byte) {
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static std::unordered_map<std::string, uint8_t> unicode_to_bytes_map_bpe() {
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static std::unordered_map<std::string, uint8_t> unicode_to_bytes_map_bpe() {
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std::unordered_map<std::string, uint8_t> map;
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std::unordered_map<std::string, uint8_t> map;
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for (int ch = u'!'; ch <= u'~'; ++ch) {
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for (int ch = u'!'; ch <= u'~'; ++ch) {
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assert(0 <= ch && ch < 256);
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map[codepoint_to_utf8(ch)] = ch;
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map[codepoint_to_utf8(ch)] = ch;
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}
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}
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for (int ch = u'¡'; ch <= u'¬'; ++ch) {
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for (int ch = u'¡'; ch <= u'¬'; ++ch) {
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assert(0 <= ch && ch < 256);
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map[codepoint_to_utf8(ch)] = ch;
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map[codepoint_to_utf8(ch)] = ch;
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}
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}
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for (int ch = u'®'; ch <= u'ÿ'; ++ch) {
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for (int ch = u'®'; ch <= u'ÿ'; ++ch) {
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assert(0 <= ch && ch < 256);
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map[codepoint_to_utf8(ch)] = ch;
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map[codepoint_to_utf8(ch)] = ch;
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}
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}
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auto n = 0;
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auto n = 0;
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@ -449,7 +455,7 @@ static std::unordered_map<std::string, uint8_t> unicode_to_bytes_map_bpe() {
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return map;
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return map;
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}
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}
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static uint8_t unicode_to_bytes_bpe(const std::string& utf8) {
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static uint8_t unicode_to_bytes_bpe(const std::string & utf8) {
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static std::unordered_map<std::string, uint8_t> map = unicode_to_bytes_map_bpe();
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static std::unordered_map<std::string, uint8_t> map = unicode_to_bytes_map_bpe();
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return map.at(utf8);
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return map.at(utf8);
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}
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}
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