ollama/llm/gguf.go
Blake Mizerany cb42e607c5
llm: speed up gguf decoding by a lot (#5246)
Previously, some costly things were causing the loading of GGUF files
and their metadata and tensor information to be VERY slow:

  * Too many allocations when decoding strings
  * Hitting disk for each read of each key and value, resulting in a
    not-okay amount of syscalls/disk I/O.

The show API is now down to 33ms from 800ms+ for llama3 on a macbook pro
m3.

This commit also prevents collecting large arrays of values when
decoding GGUFs (if desired). When such keys are encountered, their
values are null, and are encoded as such in JSON.

Also, this fixes a broken test that was not encoding valid GGUF.
2024-06-24 21:47:52 -07:00

697 lines
14 KiB
Go

package llm
import (
"bytes"
"encoding/binary"
"encoding/json"
"fmt"
"io"
"strings"
)
type containerGGUF struct {
ByteOrder binary.ByteOrder
Version uint32
V1 struct {
NumTensor uint32
NumKV uint32
}
V2 struct {
NumTensor uint64
NumKV uint64
}
V3 struct {
NumTensor uint64
NumKV uint64
}
maxArraySize int
}
func (c *containerGGUF) canCollectArray(size int) bool {
return c.maxArraySize < 0 || size <= c.maxArraySize
}
func (c *containerGGUF) Name() string {
return "gguf"
}
func (c *containerGGUF) Decode(rs io.ReadSeeker) (model, error) {
if err := binary.Read(rs, c.ByteOrder, &c.Version); err != nil {
return nil, err
}
var err error
switch c.Version {
case 1:
err = binary.Read(rs, c.ByteOrder, &c.V1)
case 2:
err = binary.Read(rs, c.ByteOrder, &c.V2)
default:
err = binary.Read(rs, c.ByteOrder, &c.V3)
}
if err != nil {
return nil, err
}
model := newGGUF(c)
if err := model.Decode(rs); err != nil {
return nil, err
}
return model, nil
}
const (
ggufTypeUint8 uint32 = iota
ggufTypeInt8
ggufTypeUint16
ggufTypeInt16
ggufTypeUint32
ggufTypeInt32
ggufTypeFloat32
ggufTypeBool
ggufTypeString
ggufTypeArray
ggufTypeUint64
ggufTypeInt64
ggufTypeFloat64
)
type gguf struct {
*containerGGUF
kv KV
tensors []*Tensor
parameters uint64
scratch [16 << 10]byte
}
func newGGUF(container *containerGGUF) *gguf {
return &gguf{
containerGGUF: container,
kv: make(KV),
}
}
func NewGGUFV3(bo binary.ByteOrder) *gguf {
return newGGUF(&containerGGUF{ByteOrder: bo, Version: 3})
}
func (llm *gguf) KV() KV {
return llm.kv
}
func (llm *gguf) Tensors() Tensors {
return llm.tensors
}
func (llm *gguf) numTensor() uint64 {
switch llm.Version {
case 1:
return uint64(llm.V1.NumTensor)
case 2:
return llm.V2.NumTensor
default:
return llm.V3.NumTensor
}
}
func (llm *gguf) numKV() uint64 {
switch llm.Version {
case 1:
return uint64(llm.V1.NumKV)
case 2:
return llm.V2.NumKV
default:
return llm.V3.NumKV
}
}
func (llm *gguf) Decode(rs io.ReadSeeker) error {
// decode key-values
for i := 0; uint64(i) < llm.numKV(); i++ {
k, err := readGGUFString(llm, rs)
if err != nil {
return err
}
t, err := readGGUF[uint32](llm, rs)
if err != nil {
return err
}
var v any
switch t {
case ggufTypeUint8:
v, err = readGGUF[uint8](llm, rs)
case ggufTypeInt8:
v, err = readGGUF[int8](llm, rs)
case ggufTypeUint16:
v, err = readGGUF[uint16](llm, rs)
case ggufTypeInt16:
v, err = readGGUF[int16](llm, rs)
case ggufTypeUint32:
v, err = readGGUF[uint32](llm, rs)
case ggufTypeInt32:
v, err = readGGUF[int32](llm, rs)
case ggufTypeUint64:
v, err = readGGUF[uint64](llm, rs)
case ggufTypeInt64:
v, err = readGGUF[int64](llm, rs)
case ggufTypeFloat32:
v, err = readGGUF[float32](llm, rs)
case ggufTypeFloat64:
v, err = readGGUF[float64](llm, rs)
case ggufTypeBool:
v, err = readGGUF[bool](llm, rs)
case ggufTypeString:
v, err = readGGUFString(llm, rs)
case ggufTypeArray:
v, err = readGGUFArray(llm, rs)
default:
return fmt.Errorf("invalid type: %d", t)
}
if err != nil {
return err
}
llm.kv[k] = v
}
// decode tensors
for range llm.numTensor() {
name, err := readGGUFString(llm, rs)
if err != nil {
return fmt.Errorf("failed to read tensor name: %w", err)
}
// dims is the number of dimensions in the tensor
dims, err := readGGUF[uint32](llm, rs)
if err != nil {
return fmt.Errorf("failed to read tensor dimensions: %w", err)
}
shape := [4]uint64{1, 1, 1, 1}
for i := 0; uint32(i) < dims; i++ {
shape[i], err = readGGUF[uint64](llm, rs)
if err != nil {
return fmt.Errorf("failed to read tensor shape: %w", err)
}
}
kind, err := readGGUF[uint32](llm, rs)
if err != nil {
return fmt.Errorf("failed to read tensor kind: %w", err)
}
offset, err := readGGUF[uint64](llm, rs)
if err != nil {
return fmt.Errorf("failed to read tensor offset: %w", err)
}
tensor := Tensor{
Name: name,
Kind: kind,
Offset: offset,
Shape: shape[:],
}
llm.tensors = append(llm.tensors, &tensor)
llm.parameters += tensor.parameters()
}
// patch KV with parameter count
llm.kv["general.parameter_count"] = llm.parameters
alignment, ok := llm.kv["general.alignment"].(uint32)
if !ok {
alignment = 32
}
for _, tensor := range llm.tensors {
offset, err := rs.Seek(0, io.SeekCurrent)
if err != nil {
return fmt.Errorf("failed to get current offset: %w", err)
}
padding := llm.padding(offset, int64(alignment))
if _, err := rs.Seek(padding, io.SeekCurrent); err != nil {
return fmt.Errorf("failed to seek to init padding: %w", err)
}
if _, err := rs.Seek(int64(tensor.Size()), io.SeekCurrent); err != nil {
return fmt.Errorf("failed to seek to tensor: %w", err)
}
}
return nil
}
func readGGUF[T any](llm *gguf, r io.Reader) (T, error) {
var t T
err := binary.Read(r, llm.ByteOrder, &t)
return t, err
}
func writeGGUF[V any](llm *gguf, w io.Writer, t uint32, v V) error {
if err := binary.Write(w, llm.ByteOrder, t); err != nil {
return err
}
return binary.Write(w, llm.ByteOrder, v)
}
func readGGUFV1String(llm *gguf, r io.Reader) (string, error) {
var length uint64
if err := binary.Read(r, llm.ByteOrder, &length); err != nil {
return "", err
}
var b bytes.Buffer
if _, err := io.CopyN(&b, r, int64(length)); err != nil {
return "", err
}
// gguf v1 strings are null-terminated
b.Truncate(b.Len() - 1)
return b.String(), nil
}
func discardGGUFString(llm *gguf, r io.Reader) error {
buf := llm.scratch[:8]
_, err := io.ReadFull(r, buf)
if err != nil {
return err
}
size := int(llm.ByteOrder.Uint64(buf))
for size > 0 {
n, err := r.Read(llm.scratch[:min(size, cap(llm.scratch))])
if err != nil {
return err
}
size -= n
}
return nil
}
func readGGUFString(llm *gguf, r io.Reader) (string, error) {
if llm.Version == 1 {
return readGGUFV1String(llm, r)
}
buf := llm.scratch[:8]
_, err := io.ReadFull(r, buf)
if err != nil {
return "", err
}
length := int(llm.ByteOrder.Uint64(buf))
if length > len(llm.scratch) {
buf = make([]byte, length)
} else {
buf = llm.scratch[:length]
}
clear(buf)
_, err = io.ReadFull(r, buf)
if err != nil {
return "", err
}
return string(buf), nil
}
func writeGGUFString(llm *gguf, w io.Writer, s string) error {
if err := binary.Write(w, llm.ByteOrder, ggufTypeString); err != nil {
return err
}
if err := binary.Write(w, llm.ByteOrder, uint64(len(s))); err != nil {
return err
}
_, err := io.Copy(w, strings.NewReader(s))
return err
}
type array struct {
size int
values []any
}
func (a *array) MarshalJSON() ([]byte, error) {
return json.Marshal(a.values)
}
func readGGUFV1Array(llm *gguf, r io.Reader) (*array, error) {
t, err := readGGUF[uint32](llm, r)
if err != nil {
return nil, err
}
n, err := readGGUF[uint32](llm, r)
if err != nil {
return nil, err
}
a := &array{size: int(n)}
if llm.canCollectArray(int(n)) {
a.values = make([]any, 0, int(n))
}
for i := range n {
var e any
switch t {
case ggufTypeUint8:
e, err = readGGUF[uint8](llm, r)
case ggufTypeInt8:
e, err = readGGUF[int8](llm, r)
case ggufTypeUint16:
e, err = readGGUF[uint16](llm, r)
case ggufTypeInt16:
e, err = readGGUF[int16](llm, r)
case ggufTypeUint32:
e, err = readGGUF[uint32](llm, r)
case ggufTypeInt32:
e, err = readGGUF[int32](llm, r)
case ggufTypeUint64:
e, err = readGGUF[uint64](llm, r)
case ggufTypeInt64:
e, err = readGGUF[int64](llm, r)
case ggufTypeFloat32:
e, err = readGGUF[float32](llm, r)
case ggufTypeFloat64:
e, err = readGGUF[float64](llm, r)
case ggufTypeBool:
e, err = readGGUF[bool](llm, r)
case ggufTypeString:
e, err = readGGUFV1String(llm, r)
default:
return nil, fmt.Errorf("invalid array type: %d", t)
}
if err != nil {
return nil, err
}
if a.values != nil {
a.values[i] = e
}
}
return a, nil
}
func readGGUFArray(llm *gguf, r io.Reader) (*array, error) {
if llm.Version == 1 {
return readGGUFV1Array(llm, r)
}
t, err := readGGUF[uint32](llm, r)
if err != nil {
return nil, err
}
n, err := readGGUF[uint64](llm, r)
if err != nil {
return nil, err
}
a := &array{size: int(n)}
if llm.canCollectArray(int(n)) {
a.values = make([]any, int(n))
}
for i := range n {
var e any
switch t {
case ggufTypeUint8:
e, err = readGGUF[uint8](llm, r)
case ggufTypeInt8:
e, err = readGGUF[int8](llm, r)
case ggufTypeUint16:
e, err = readGGUF[uint16](llm, r)
case ggufTypeInt16:
e, err = readGGUF[int16](llm, r)
case ggufTypeUint32:
e, err = readGGUF[uint32](llm, r)
case ggufTypeInt32:
e, err = readGGUF[int32](llm, r)
case ggufTypeUint64:
e, err = readGGUF[uint64](llm, r)
case ggufTypeInt64:
e, err = readGGUF[int64](llm, r)
case ggufTypeFloat32:
e, err = readGGUF[float32](llm, r)
case ggufTypeFloat64:
e, err = readGGUF[float64](llm, r)
case ggufTypeBool:
e, err = readGGUF[bool](llm, r)
case ggufTypeString:
if a.values != nil {
e, err = readGGUFString(llm, r)
} else {
err = discardGGUFString(llm, r)
}
default:
return nil, fmt.Errorf("invalid array type: %d", t)
}
if err != nil {
return nil, err
}
if a.values != nil {
a.values[i] = e
}
}
return a, nil
}
func writeGGUFArray[S ~[]E, E any](llm *gguf, w io.Writer, t uint32, s S) error {
if err := binary.Write(w, llm.ByteOrder, ggufTypeArray); err != nil {
return err
}
if err := binary.Write(w, llm.ByteOrder, t); err != nil {
return err
}
if err := binary.Write(w, llm.ByteOrder, uint64(len(s))); err != nil {
return err
}
for _, e := range s {
if err := binary.Write(w, llm.ByteOrder, e); err != nil {
return err
}
}
return nil
}
var ggufKVOrder = map[string][]string{
"llama": {
"general.architecture",
"general.name",
"llama.vocab_size",
"llama.context_length",
"llama.embedding_length",
"llama.block_count",
"llama.feed_forward_length",
"llama.attention.head_count",
"llama.attention.head_count_kv",
"llama.attention.layer_norm_rms_epsilon",
"llama.rope.freq_base",
"llama.rope.dimension_count",
"llama.expert_count",
"llama.expert_used_count",
"gemma.context_length",
"gemma.embedding_length",
"gemma.block_count",
"gemma.feed_forward_length",
"gemma.attention.head_count",
"gemma.attention.head_count_kv",
"gemma.attention.layer_norm_rms_epsilon",
"gemma.attention.key_length",
"gemma.attention.value_length",
"general.file_type",
"tokenizer.ggml.pre",
"tokenizer.ggml.model",
"tokenizer.ggml.tokens",
"tokenizer.ggml.scores",
"tokenizer.ggml.merges",
"tokenizer.ggml.token_type",
"tokenizer.ggml.bos_token_id",
"tokenizer.ggml.eos_token_id",
"tokenizer.ggml.unknown_token_id",
"tokenizer.ggml.padding_token_id",
"tokenizer.ggml.add_bos_token",
"tokenizer.ggml.add_eos_token",
"tokenizer.chat_template",
},
}
func (llm *gguf) Encode(ws io.WriteSeeker, kv KV, tensors []Tensor) error {
switch llm.Version {
case 3:
llm.V3.NumTensor = uint64(len(tensors))
llm.V3.NumKV = uint64(len(kv))
default:
return fmt.Errorf("not implemented: ggufv%d", llm.Version)
}
if err := binary.Write(ws, llm.ByteOrder, []byte("GGUF")); err != nil {
return err
}
if err := binary.Write(ws, llm.ByteOrder, llm.Version); err != nil {
return err
}
if err := binary.Write(ws, llm.ByteOrder, llm.numTensor()); err != nil {
return err
}
if err := binary.Write(ws, llm.ByteOrder, llm.numKV()); err != nil {
return err
}
kvCheck := make(map[string]bool)
for k := range kv {
kvCheck[k] = false
}
for _, k := range ggufKVOrder["llama"] {
v, ok := kv[k]
if !ok {
continue
}
kvCheck[k] = true
if err := binary.Write(ws, llm.ByteOrder, uint64(len(k))); err != nil {
return err
}
if err := binary.Write(ws, llm.ByteOrder, []byte(k)); err != nil {
return err
}
var err error
switch v := v.(type) {
case uint32:
err = writeGGUF(llm, ws, ggufTypeUint32, v)
case float32:
err = writeGGUF(llm, ws, ggufTypeFloat32, v)
case bool:
err = writeGGUF(llm, ws, ggufTypeBool, v)
case string:
err = writeGGUFString(llm, ws, v)
case []int32:
err = writeGGUFArray(llm, ws, ggufTypeInt32, v)
case []uint32:
err = writeGGUFArray(llm, ws, ggufTypeUint32, v)
case []float32:
err = writeGGUFArray(llm, ws, ggufTypeFloat32, v)
case []string:
if err := binary.Write(ws, llm.ByteOrder, ggufTypeArray); err != nil {
return err
}
if err := binary.Write(ws, llm.ByteOrder, ggufTypeString); err != nil {
return err
}
if err := binary.Write(ws, llm.ByteOrder, uint64(len(v))); err != nil {
return err
}
for _, e := range v {
if err := binary.Write(ws, llm.ByteOrder, uint64(len(e))); err != nil {
return err
}
if err := binary.Write(ws, llm.ByteOrder, []byte(e)); err != nil {
return err
}
}
default:
return fmt.Errorf("improper type for '%s'", k)
}
if err != nil {
return err
}
}
for k, v := range kvCheck {
if !v {
return fmt.Errorf("Didn't know how to write kv %s", k)
}
}
for _, tensor := range tensors {
if err := binary.Write(ws, llm.ByteOrder, uint64(len(tensor.Name))); err != nil {
return err
}
if err := binary.Write(ws, llm.ByteOrder, []byte(tensor.Name)); err != nil {
return err
}
var dims int
for cnt := range len(tensor.Shape) {
if tensor.Shape[cnt] > 0 {
dims++
}
}
if err := binary.Write(ws, llm.ByteOrder, uint32(dims)); err != nil {
return err
}
for i := range dims {
if err := binary.Write(ws, llm.ByteOrder, tensor.Shape[dims-1-i]); err != nil {
return err
}
}
if err := binary.Write(ws, llm.ByteOrder, tensor.Kind); err != nil {
return err
}
if err := binary.Write(ws, llm.ByteOrder, tensor.Offset); err != nil {
return err
}
}
var alignment int64 = 32
for _, tensor := range tensors {
offset, err := ws.Seek(0, io.SeekCurrent)
if err != nil {
return err
}
padding := llm.padding(offset, alignment)
if err := binary.Write(ws, llm.ByteOrder, bytes.Repeat([]byte{0}, int(padding))); err != nil {
return err
}
if _, err := tensor.WriteTo(ws); err != nil {
return err
}
}
return nil
}
func (gguf) padding(offset, align int64) int64 {
return (align - offset%align) % align
}