Files
ollama/tokenizer/wordpiece.go
T
Daniel Hiltgen 98acec40ae create: add server-side MLX imports and drop GGUF conversion (#14969)
* create: add server-side MLX imports and drop GGUF conversion

Support safetensors imports through the MLX create pipeline both locally and on the server, including remote upload/staging, draft layer handling, cancellation propagation, transfer limits, and shared manifest/blob writing.

Limit GGUF create to wrapping existing GGUF inputs into Ollama manifests. Remove the in-tree safetensors-to-GGUF converter, server quantization path, and converter-only dependencies so GGUF conversion and quantization stay in llama.cpp tooling.

Keep the MLX path focused on supported safetensors model creation with validation before MLX work, and expose that flow without the --experimental CLI gate.

* address comments

* add client side gguf create fast path

* address comments

* rebase adjustments
2026-09-14 20:32:36 -07:00

162 lines
3.3 KiB
Go

package tokenizer
import (
"fmt"
"iter"
"strings"
"unicode"
"github.com/ollama/ollama/logutil"
)
type WordPiece struct {
vocab *Vocabulary
lowercase bool
}
// ggmlPrefix is the prefix used by GGML vocabularies to indicate word boundaries.
// this differs from original word piece which uses "##" to indicate subwords.
const ggmlPrefix = "▁"
var wordPieceReplacer = strings.NewReplacer(
" .", ".",
" ?", "?",
" !", "!",
" ,", ",",
" ' ", "'",
" n't", "n't",
" 'm", "'m",
" do not", " don't",
" 's", "'s",
" 've", "'ve",
" 're", "'re",
)
// Decode implements Tokenizer.
func (wpm WordPiece) Decode(ids []int32) (string, error) {
var sb strings.Builder
for i, id := range ids {
if id < 0 || int(id) >= len(wpm.vocab.Values) {
return "", fmt.Errorf("invalid token id: %d", id)
}
var separator string
piece := wpm.vocab.Values[id]
if i > 0 &&
(strings.HasPrefix(piece, ggmlPrefix) ||
(strings.HasPrefix(piece, "[") && strings.HasSuffix(piece, "]"))) {
separator = " "
}
sb.WriteString(wordPieceReplacer.Replace(separator + strings.TrimPrefix(piece, ggmlPrefix)))
}
return sb.String(), nil
}
// words splits a string into words, treating CJK characters as separate words.
// TODO: this is specifically for BERT and may need to be adjusted or refactored for other models.
func (wpm WordPiece) words(s string) iter.Seq[string] {
return func(yield func(string) bool) {
runes := make([]rune, 0, len(s)*3)
for _, r := range s {
switch {
case r >= 0x4E00 && r <= 0x9FFF,
r >= 0x3400 && r <= 0x4DBF,
r >= 0x20000 && r <= 0x2A6DF,
r >= 0x2A700 && r <= 0x2B73F,
r >= 0x2B740 && r <= 0x2B81F,
r >= 0x2B820 && r <= 0x2CEAF,
r >= 0xF900 && r <= 0xFAFF,
r >= 0x2F800 && r <= 0x2FA1F:
runes = append(runes, ' ', r, ' ')
default:
runes = append(runes, r)
}
}
for w := range strings.FieldsFuncSeq(string(runes), unicode.IsSpace) {
// split on but keep punctuation
var start int
for start < len(w) {
end := strings.IndexFunc(w[start:], unicode.IsPunct)
if end < 0 {
end = len(w) - start
} else if end == 0 {
end = 1
}
if !yield(w[start : start+end]) {
return
}
start += end
}
}
}
}
// Encode implements Tokenizer.
func (wpm WordPiece) Encode(s string, addSpecial bool) ([]int32, error) {
var ids []int32
// TODO: use [UNK] from config
unk := wpm.vocab.Encode("[UNK]")
for word := range wpm.words(s) {
var start int
var pieces []int32
for start < len(word) {
end := len(word)
var piece int32
for start < end {
subword := word[start:end]
if start == 0 {
subword = ggmlPrefix + subword
}
if wpm.lowercase {
subword = strings.ToLower(subword)
}
piece = wpm.vocab.Encode(subword)
if piece >= 0 {
break
}
end--
}
if piece < 0 {
// Unknown token
pieces = pieces[:0]
break
}
pieces = append(pieces, piece)
start = end
}
if len(pieces) > 0 {
ids = append(ids, pieces...)
} else {
ids = append(ids, unk)
}
}
if addSpecial {
ids = wpm.vocab.addSpecials(ids)
}
logutil.Trace("encoded", "string", s, "ids", ids)
return ids, nil
}
var _ Tokenizer = (*WordPiece)(nil)
func NewWordPiece(vocab *Vocabulary, lowercase bool) WordPiece {
return WordPiece{
vocab: vocab,
lowercase: lowercase,
}
}