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Fix gemma2 2b conversion (#6645)

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Patrick Devine 2024-09-05 17:02:28 -07:00 committed by GitHub
parent 48685c6ed0
commit 608e87bf87
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GPG key ID: B5690EEEBB952194
4 changed files with 382 additions and 25 deletions
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16
convert/convert_gemma2.go
View file

@ -34,10 +34,20 @@ func (p *gemma2Model) KV(t *Tokenizer) llm.KV {
} }
func (p *gemma2Model) Replacements() []string { func (p *gemma2Model) Replacements() []string {
return append( return []string{
p.gemmaModel.Replacements(), "model.embed_tokens", "token_embd",
"model.norm", "output_norm",
"model.layers", "blk",
"input_layernorm", "attn_norm",
"self_attn.q_proj", "attn_q",
"self_attn.k_proj", "attn_k",
"self_attn.v_proj", "attn_v",
"self_attn.o_proj", "attn_output",
"mlp.gate_proj", "ffn_gate",
"mlp.down_proj", "ffn_down",
"mlp.up_proj", "ffn_up",
"post_attention_layernorm", "post_attention_norm", "post_attention_layernorm", "post_attention_norm",
"pre_feedforward_layernorm", "ffn_norm", "pre_feedforward_layernorm", "ffn_norm",
"post_feedforward_layernorm", "post_ffw_norm", "post_feedforward_layernorm", "post_ffw_norm",
) }
} }

70
convert/convert_test.go
View file

@ -15,6 +15,7 @@ import (
"os" "os"
"path/filepath" "path/filepath"
"slices" "slices"
"strings"
"testing" "testing"
"golang.org/x/exp/maps" "golang.org/x/exp/maps"
@ -22,6 +23,12 @@ import (
"github.com/ollama/ollama/llm" "github.com/ollama/ollama/llm"
) )
type tensorData struct {
Offsets []int `json:"data_offsets"`
Type string `json:"dtype"`
Shape []int `json:"shape"`
}
func convertFull(t *testing.T, fsys fs.FS) (*os.File, llm.KV, llm.Tensors) { func convertFull(t *testing.T, fsys fs.FS) (*os.File, llm.KV, llm.Tensors) {
t.Helper() t.Helper()
@ -96,6 +103,7 @@ func TestConvertModel(t *testing.T) {
"Mistral-7B-Instruct-v0.2", "Mistral-7B-Instruct-v0.2",
"Mixtral-8x7B-Instruct-v0.1", "Mixtral-8x7B-Instruct-v0.1",
"gemma-2b-it", "gemma-2b-it",
"gemma-2-2b-it",
// microsoft/Phi-3-mini-128-instruct@d548c233192db00165d842bf8edff054bb3212f8 // microsoft/Phi-3-mini-128-instruct@d548c233192db00165d842bf8edff054bb3212f8
"Phi-3-mini-128k-instruct", "Phi-3-mini-128k-instruct",
"all-MiniLM-L6-v2", "all-MiniLM-L6-v2",
@ -140,6 +148,36 @@ func TestConvertModel(t *testing.T) {
} }
} }
func TestConvertInvalidTensorNames(t *testing.T) {
f, err := os.CreateTemp(t.TempDir(), "testmodel")
if err != nil {
t.Fatal(err)
}
defer f.Close()
tempDir := t.TempDir()
td := map[string]*tensorData{}
offset := 4096
td["model.layers.0.self_attn.q_proj.weight"] = &tensorData{
Offsets: []int{0, offset},
Type: "F32",
Shape: []int{4096, 4096},
}
td["blk.0.attn_q.weight"] = &tensorData{
Offsets: []int{offset, offset * 2},
Type: "F32",
Shape: []int{4096, 4096},
}
generateSafetensorTestData(t, tempDir, td)
err = ConvertModel(os.DirFS(tempDir), f)
if err == nil || !strings.HasPrefix(err.Error(), "duplicate tensor name") {
t.Errorf("expected error but didn't get one")
}
}
func TestConvertInvalidDatatype(t *testing.T) { func TestConvertInvalidDatatype(t *testing.T) {
f, err := os.CreateTemp(t.TempDir(), "testmodel") f, err := os.CreateTemp(t.TempDir(), "testmodel")
if err != nil { if err != nil {
@ -148,23 +186,10 @@ func TestConvertInvalidDatatype(t *testing.T) {
defer f.Close() defer f.Close()
tempDir := t.TempDir() tempDir := t.TempDir()
generateSafetensorTestData(t, tempDir)
err = ConvertModel(os.DirFS(tempDir), f)
if err == nil || err.Error() != "unsupported safetensors model" {
t.Errorf("expected error but didn't get one")
}
}
func generateSafetensorTestData(t *testing.T, tempDir string) {
type tensorData struct {
Offsets []int `json:"data_offsets"`
Type string `json:"dtype"`
Shape []int `json:"shape"`
}
offset := 4096 * 14336
td := map[string]*tensorData{} td := map[string]*tensorData{}
offset := 4096 * 14336
td["model.layers.0.mlp.down_proj.weight"] = &tensorData{ td["model.layers.0.mlp.down_proj.weight"] = &tensorData{
Offsets: []int{0, offset}, Offsets: []int{0, offset},
Type: "I8", Type: "I8",
@ -175,8 +200,16 @@ func generateSafetensorTestData(t *testing.T, tempDir string) {
Type: "U8", Type: "U8",
Shape: []int{}, Shape: []int{},
} }
generateSafetensorTestData(t, tempDir, td)
data, err := json.Marshal(td) err = ConvertModel(os.DirFS(tempDir), f)
if err == nil || err.Error() != "unsupported safetensors model" {
t.Errorf("expected error but didn't get one")
}
}
func generateSafetensorTestData(t *testing.T, tempDir string, tensorData map[string]*tensorData) {
data, err := json.Marshal(tensorData)
if err != nil { if err != nil {
t.Fatal(err) t.Fatal(err)
} }
@ -322,11 +355,6 @@ func TestConvertAdapter(t *testing.T) {
} }
func generateLoraTestData(t *testing.T, tempDir string) { func generateLoraTestData(t *testing.T, tempDir string) {
type tensorData struct {
Offsets []int `json:"data_offsets"`
Type string `json:"dtype"`
Shape []int `json:"shape"`
}
offset := 4096 * 8 * 4 offset := 4096 * 8 * 4
td := map[string]*tensorData{"__metadata__": nil} td := map[string]*tensorData{"__metadata__": nil}

9
convert/reader_safetensors.go
View file

@ -49,12 +49,19 @@ func parseSafetensors(fsys fs.FS, replacer *strings.Replacer, ps ...string) ([]T
keys := maps.Keys(headers) keys := maps.Keys(headers)
slices.Sort(keys) slices.Sort(keys)
names := make(map[string]struct{}, len(keys))
for _, key := range keys { for _, key := range keys {
if value := headers[key]; value.Type != "" { if value := headers[key]; value.Type != "" {
// bitsandbytes quantized models are unsupported // bitsandbytes quantized models are unsupported
if len(value.Shape) == 0 { if len(value.Shape) == 0 {
return nil, errors.New("unsupported safetensors model") return nil, errors.New("unsupported safetensors model")
} }
ggufName := replacer.Replace(key)
if _, ok := names[ggufName]; ok {
return nil, fmt.Errorf("duplicate tensor name '%s' was found for this model", ggufName)
}
names[ggufName] = struct{}{}
ts = append(ts, safetensor{ ts = append(ts, safetensor{
fs: fsys, fs: fsys,
path: p, path: p,
@ -62,7 +69,7 @@ func parseSafetensors(fsys fs.FS, replacer *strings.Replacer, ps ...string) ([]T
offset: safetensorsPad(n, value.Offsets[0]), offset: safetensorsPad(n, value.Offsets[0]),
size: safetensorsPad(n, value.Offsets[1]) - safetensorsPad(n, value.Offsets[0]), size: safetensorsPad(n, value.Offsets[1]) - safetensorsPad(n, value.Offsets[0]),
tensorBase: &tensorBase{ tensorBase: &tensorBase{
name: replacer.Replace(key), name: ggufName,
shape: value.Shape, shape: value.Shape,
}, },
}) })

312
convert/testdata/gemma-2-2b-it.json vendored Normal file
View file

@ -0,0 +1,312 @@
{
"general.architecture": "gemma2",
"general.file_type": "1",
"general.quantization_version": "2",
"gemma2.block_count": "26",
"gemma2.context_length": "8192",
"gemma2.embedding_length": "2304",
"gemma2.feed_forward_length": "9216",
"gemma2.attention.head_count": "8",
"gemma2.attention.head_count_kv": "4",
"gemma2.attention.key_length": "256",
"gemma2.attention.value_length": "256",
"gemma2.attention.layer_norm_rms_epsilon": "1e-06",
"tokenizer.ggml.model": "llama",
"tokenizer.ggml.add_bos_token": "true",
"tokenizer.ggml.add_eos_token": "false",
"tokenizer.ggml.bos_token_id": "2",
"tokenizer.ggml.eos_token_id": "1",
"tokenizer.ggml.padding_token_id": "0",
"tokenizer.ggml.unknown_token_id": "3",
"tokenizer.ggml.scores": "0872465d173867d755d3ee728f882b9dc2057a0bfd596fe1e3d131522f1250d8",
"tokenizer.ggml.token_type": "8d40143b3477df77beea4139420335ede458bf5e14102f01b0170197b55da8d8",
"tokenizer.ggml.tokens": "c6e66de1841f04de8b8d236d461ab720a4c9b9b5414dc293a09c6e10eab45fda",
"token_embd.weight": "64a9d30707e659e2e673656d71f5aef7a9fb9fd83bb9a77558dfc5abbe218a05",
"blk.0.attn_k.weight": "d8b4437c5edb3cddf6af9987038e1bb2b191c4f0fce0e160d2abace717f5d5d7",
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