Files
ollama/convert/convert_nemotron_h_test.go
2026-02-22 15:09:14 -08:00

231 lines
6.3 KiB
Go

package convert
import (
"bytes"
"encoding/binary"
"encoding/json"
"io"
"os"
"path/filepath"
"slices"
"strings"
"testing"
)
func TestHybridPatternUnmarshal(t *testing.T) {
t.Run("string", func(t *testing.T) {
var p hybridPattern
if err := json.Unmarshal([]byte(`"MEM*"`), &p); err != nil {
t.Fatal(err)
}
if got, want := string(p), "MEM*"; got != want {
t.Fatalf("unexpected pattern: got %q want %q", got, want)
}
})
t.Run("array", func(t *testing.T) {
var p hybridPattern
if err := json.Unmarshal([]byte(`["M","E","M","*"]`), &p); err != nil {
t.Fatal(err)
}
if got, want := string(p), "MEM*"; got != want {
t.Fatalf("unexpected pattern: got %q want %q", got, want)
}
})
}
func TestNemotronHLayerArrays(t *testing.T) {
m := &nemotronHModel{
NumHiddenLayers: 5,
NumAttentionHeads: 32,
NumKeyValueHeads: 8,
HybridOverridePattern: "MEM*E",
NRoutedExperts: 128,
NumExpertsPerTok: 6,
MoEIntermediateSize: 1856,
}
headsKV, ffn, err := m.layerArrays()
if err != nil {
t.Fatal(err)
}
if got, want := headsKV, []uint32{0, 0, 0, 8, 0}; !slices.Equal(got, want) {
t.Fatalf("unexpected head_count_kv: got %v want %v", got, want)
}
if got, want := ffn, []uint32{0, 1856, 0, 0, 1856}; !slices.Equal(got, want) {
t.Fatalf("unexpected feed_forward_length: got %v want %v", got, want)
}
}
func TestNemotronHKV(t *testing.T) {
m := &nemotronHModel{
MaxPositionEmbeddings: 1048576,
HiddenSize: 2688,
NumHiddenLayers: 5,
NumAttentionHeads: 32,
NumKeyValueHeads: 2,
HeadDim: 128,
LayerNormEpsilon: 1e-5,
RopeTheta: 10000,
PartialRotaryFactor: 0.5,
ConvKernel: 4,
SSMStateSize: 128,
MambaNumHeads: 64,
MambaHeadDim: 64,
NGroups: 8,
HybridOverridePattern: "MEM*E",
NRoutedExperts: 128,
NSharedExperts: 1,
NumExpertsPerTok: 6,
MoEIntermediateSize: 1856,
MoESharedExpertIntermediate: 3712,
NormTopKProb: true,
RoutedScalingFactor: 2.5,
}
if err := m.parseMore(nil); err != nil {
t.Fatal(err)
}
kv := m.KV(&Tokenizer{Vocabulary: &Vocabulary{}})
if got, want := kv["general.architecture"], "nemotron_h_moe"; got != want {
t.Fatalf("unexpected architecture: got %v want %v", got, want)
}
headCountKV, ok := kv["attention.head_count_kv"].([]uint32)
if !ok {
t.Fatalf("attention.head_count_kv has unexpected type: %T", kv["attention.head_count_kv"])
}
if got, want := headCountKV, []uint32{0, 0, 0, 2, 0}; !slices.Equal(got, want) {
t.Fatalf("unexpected attention.head_count_kv: got %v want %v", got, want)
}
ffnLength, ok := kv["feed_forward_length"].([]uint32)
if !ok {
t.Fatalf("feed_forward_length has unexpected type: %T", kv["feed_forward_length"])
}
if got, want := ffnLength, []uint32{0, 1856, 0, 0, 1856}; !slices.Equal(got, want) {
t.Fatalf("unexpected feed_forward_length: got %v want %v", got, want)
}
}
func TestNemotronHTensorsTransforms(t *testing.T) {
m := &nemotronHModel{NGroups: 8}
in := []Tensor{
&fakeTensor{
name: "blk.0.ssm_a",
shape: []uint64{4},
data: []float32{0, 1, 2, 3},
},
&fakeTensor{
name: "blk.0.ssm_d",
shape: []uint64{4},
data: []float32{0, 1, 2, 3},
},
&fakeTensor{
name: "blk.0.ssm_norm.weight",
shape: []uint64{16},
data: make([]float32, 16),
},
&fakeTensor{
name: "blk.0.ssm_conv1d.weight",
shape: []uint64{10, 1, 4},
data: make([]float32, 40),
},
}
out := m.Tensors(in)
if len(out) != len(in) {
t.Fatalf("unexpected output tensor count: got %d want %d", len(out), len(in))
}
got := map[string]struct {
shape []uint64
writer io.WriterTo
}{}
for _, t := range out {
got[t.Name] = struct {
shape []uint64
writer io.WriterTo
}{shape: t.Shape, writer: t.WriterTo}
}
if shape := got["blk.0.ssm_a"].shape; !slices.Equal(shape, []uint64{4, 1}) {
t.Fatalf("unexpected ssm_a shape: %v", shape)
}
if shape := got["blk.0.ssm_d"].shape; !slices.Equal(shape, []uint64{4, 1}) {
t.Fatalf("unexpected ssm_d shape: %v", shape)
}
if shape := got["blk.0.ssm_norm.weight"].shape; !slices.Equal(shape, []uint64{8, 2}) {
t.Fatalf("unexpected ssm_norm shape: %v", shape)
}
if shape := got["blk.0.ssm_conv1d.weight"].shape; !slices.Equal(shape, []uint64{10, 4}) {
t.Fatalf("unexpected ssm_conv1d shape: %v", shape)
}
var b bytes.Buffer
if _, err := got["blk.0.ssm_a"].writer.WriteTo(&b); err != nil {
t.Fatal(err)
}
values := make([]float32, 4)
if err := binary.Read(&b, binary.LittleEndian, &values); err != nil {
t.Fatal(err)
}
// 0 -> -exp(0) == -1
if values[0] != -1 {
t.Fatalf("unexpected transformed ssm_a[0]: got %v want -1", values[0])
}
}
func TestNemotronHLoadModelMetadata(t *testing.T) {
tempDir := t.TempDir()
config := `{
"architectures": ["NemotronHForCausalLM"],
"model_type": "nemotron_h",
"num_hidden_layers": 4,
"hidden_size": 512,
"max_position_embeddings": 32768,
"num_attention_heads": 8,
"num_key_value_heads": 2,
"head_dim": 64,
"layer_norm_epsilon": 1e-5,
"conv_kernel": 4,
"ssm_state_size": 128,
"mamba_num_heads": 16,
"mamba_head_dim": 32,
"n_groups": 8,
"hybrid_override_pattern": "ME*M",
"n_routed_experts": 16,
"num_experts_per_tok": 4,
"moe_intermediate_size": 256
}`
if err := os.WriteFile(filepath.Join(tempDir, "config.json"), []byte(config), 0o644); err != nil {
t.Fatal(err)
}
if err := os.WriteFile(filepath.Join(tempDir, "tokenizer.json"), []byte(`{}`), 0o644); err != nil {
t.Fatal(err)
}
kv, _, err := LoadModelMetadata(os.DirFS(tempDir))
if err != nil {
t.Fatal(err)
}
if _, ok := kv.(*nemotronHModel); !ok {
t.Fatalf("unexpected converter type: %T", kv)
}
}
func TestNemotronHReplacementsLatentProjections(t *testing.T) {
m := &nemotronHModel{}
r := strings.NewReplacer(m.Replacements()...)
if got, want := r.Replace("backbone.layers.1.mixer.fc1_latent_proj.weight"), "blk.1.ffn_latent_in.weight"; got != want {
t.Fatalf("unexpected fc1 replacement: got %q want %q", got, want)
}
if got, want := r.Replace("backbone.layers.1.mixer.fc2_latent_proj.weight"), "blk.1.ffn_latent_out.weight"; got != want {
t.Fatalf("unexpected fc2 replacement: got %q want %q", got, want)
}
}