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Unverified Commit 01b80e9f authored by Michael Yang's avatar Michael Yang Committed by GitHub
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Merge pull request #5443 from ollama/mxyng/convert-phi3 

add conversion for microsoft phi 3 mini/medium 4k, 128k
parents f7e3b919 bd5e4326
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Showing with 375 additions and 12 deletions
convert/convert.go
View file @ 01b80e9f
...@@ -27,6 +27,10 @@ func (Parameters) KV(t *Tokenizer) llm.KV { ...@@ -27,6 +27,10 @@ func (Parameters) KV(t *Tokenizer) llm.KV {
"tokenizer.ggml.token_type": t.Vocabulary.Types, "tokenizer.ggml.token_type": t.Vocabulary.Types,
} }
if len(t.Merges) > 0 {
kv["tokenizer.ggml.merges"] = t.Merges
}
if t.Template != "" { if t.Template != "" {
kv["tokenizer.chat_template"] = t.Template kv["tokenizer.chat_template"] = t.Template
} }
...@@ -89,6 +93,8 @@ func Convert(fsys fs.FS, ws io.WriteSeeker) error { ...@@ -89,6 +93,8 @@ func Convert(fsys fs.FS, ws io.WriteSeeker) error {
conv = &mixtral{} conv = &mixtral{}
case "GemmaForCausalLM": case "GemmaForCausalLM":
conv = &gemma{} conv = &gemma{}
case "Phi3ForCausalLM":
conv = &phi3{}
default: default:
return errors.New("unsupported architecture") return errors.New("unsupported architecture")
} }
......
convert/convert_llama.go
View file @ 01b80e9f
...@@ -90,10 +90,6 @@ func (p *llama) KV(t *Tokenizer) llm.KV { ...@@ -90,10 +90,6 @@ func (p *llama) KV(t *Tokenizer) llm.KV {
kv["llama.attention.value_length"] = p.HeadDim kv["llama.attention.value_length"] = p.HeadDim
} }
if len(t.Merges) > 0 {
kv["tokenizer.ggml.merges"] = t.Merges
}
return kv return kv
} }
......
convert/convert_phi3.go 0 → 100644
View file @ 01b80e9f
package convert
import (
"cmp"
"encoding/binary"
"io"
"math"
"strings"
"sync"
"github.com/ollama/ollama/llm"
)
type phi3 struct {
Parameters
NumHiddenLayers uint32 `json:"num_hidden_layers"`
NLayers uint32 `json:"n_layers"`
HiddenSize uint32 `json:"hidden_size"`
NEmbd uint32 `json:"n_embd"`
IntermediateSize uint32 `json:"intermediate_size"`
NumAttentionHeads uint32 `json:"num_attention_heads"`
NHead uint32 `json:"n_head"`
NumKeyValueHeads uint32 `json:"num_key_value_heads"`
NHeadKV uint32 `json:"n_head_kv"`
RopeTheta float32 `json:"rope_theta"`
RopeScaling struct {
Type string `json:"type"`
LongFactor ropeFactor `json:"long_factor"`
ShortFactor ropeFactor `json:"short_factor"`
} `json:"rope_scaling"`
RMSNormEPS float32 `json:"rms_norm_eps"`
NPositions uint32 `json:"n_positions"`
MaxPositionEmbeddings uint32 `json:"max_position_embeddings"`
OriginalMaxPositionEmbeddings uint32 `json:"original_max_position_embeddings"`
SlidingWindow uint32 `json:"sliding_window"`
}
var _ Converter = (*phi3)(nil)
func (p *phi3) KV(t *Tokenizer) llm.KV {
kv := p.Parameters.KV(t)
kv["general.architecture"] = "phi3"
kv["general.name"] = "phi3"
kv["phi3.context_length"] = p.MaxPositionEmbeddings
kv["phi3.embedding_length"] = cmp.Or(p.HiddenSize, p.NEmbd)
kv["phi3.feed_forward_length"] = p.IntermediateSize
kv["phi3.block_count"] = cmp.Or(p.NumHiddenLayers, p.NLayers)
kv["phi3.attention.head_count"] = cmp.Or(p.NumAttentionHeads, p.NHead)
kv["phi3.attention.head_count_kv"] = cmp.Or(p.NumKeyValueHeads, p.NHeadKV)
kv["phi3.attention.layer_norm_rms_epsilon"] = p.RMSNormEPS
kv["phi3.rope.dimension_count"] = p.HiddenSize / cmp.Or(p.NumAttentionHeads, p.NHead)
kv["phi3.rope.freq_base"] = p.RopeTheta
kv["phi3.rope.scaling.original_context_length"] = p.OriginalMaxPositionEmbeddings
kv["phi3.attention.sliding_window"] = p.SlidingWindow
scale := float64(p.MaxPositionEmbeddings) / float64(p.OriginalMaxPositionEmbeddings)
switch p.RopeScaling.Type {
case "":
// no scaling
case "su", "longrope":
kv["phi3.rope.scaling.attn_factor"] = float32(max(math.Sqrt(1+math.Log(scale)/math.Log(float64(p.OriginalMaxPositionEmbeddings))), 1.0))
case "yarn":
kv["phi3.rope.scaling.attn_factor"] = float32(max(0.1*math.Log(scale)+1.0, 1.0))
default:
panic("unknown rope scaling type")
}
return kv
}
func (p *phi3) Tensors(ts []Tensor) []llm.Tensor {
var addRopeFactors sync.Once
out := make([]llm.Tensor, 0, len(ts)+2)
for _, t := range ts {
name := p.tensorName(t.Name())
if strings.HasPrefix(name, "blk.0.") {
addRopeFactors.Do(func() {
out = append(out, llm.Tensor{
Name: "rope_factors_long.weight",
Kind: 0,
Shape: []uint64{uint64(len(p.RopeScaling.LongFactor))},
WriterTo: p.RopeScaling.LongFactor,
}, llm.Tensor{
Name: "rope_factors_short.weight",
Kind: 0,
Shape: []uint64{uint64(len(p.RopeScaling.ShortFactor))},
WriterTo: p.RopeScaling.ShortFactor,
})
})
}
out = append(out, llm.Tensor{
Name: name,
Kind: t.Kind(),
Shape: t.Shape(),
WriterTo: t,
})
}
return out
}
func (p *phi3) tensorName(n string) string {
return strings.NewReplacer(
"lm_head", "output",
"model.embed_tokens", "token_embd",
"model.norm", "output_norm",
"model.layers", "blk",
"input_layernorm", "attn_norm",
"self_attn.qkv_proj", "attn_qkv",
"self_attn.o_proj", "attn_output",
"mlp.down_proj", "ffn_down",
"mlp.gate_up_proj", "ffn_up",
"post_attention_layernorm", "ffn_norm",
).Replace(n)
}
type ropeFactor []float32
func (r ropeFactor) WriteTo(w io.Writer) (int64, error) {
err := binary.Write(w, binary.LittleEndian, r)
return 0, err
}
convert/convert_test.go
View file @ 01b80e9f
...@@ -65,6 +65,8 @@ func TestConvertFull(t *testing.T) { ...@@ -65,6 +65,8 @@ func TestConvertFull(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",
// microsoft/Phi-3-mini-128-instruct@d548c233192db00165d842bf8edff054bb3212f8
"Phi-3-mini-128k-instruct",
} }
for i := range cases { for i := range cases {
......
convert/testdata/Phi-3-mini-128k-instruct.json 0 → 100644
View file @ 01b80e9f
{
"general.architecture": "phi3",
"general.file_type": "1",
"general.quantization_version": "2",
"phi3.block_count": "32",
"phi3.context_length": "131072",
"phi3.embedding_length": "3072",
"phi3.feed_forward_length": "8192",
"phi3.rope.scaling.original_context_length": "4096",
"phi3.rope.dimension_count": "96",
"phi3.rope.freq_base": "10000",
"phi3.rope.scaling.attn_factor": "1.1902381",
"phi3.attention.head_count": "32",
"phi3.attention.head_count_kv": "32",
"phi3.attention.layer_norm_rms_epsilon": "1e-05",
"phi3.attention.sliding_window": "262144",
"tokenizer.ggml.model": "llama",
"tokenizer.ggml.pre": "default",
"tokenizer.ggml.add_bos_token": "false",
"tokenizer.ggml.add_eos_token": "false",
"tokenizer.ggml.bos_token_id": "1",
"tokenizer.ggml.eos_token_id": "32000",
"tokenizer.ggml.unknown_token_id": "0",
"tokenizer.ggml.padding_token_id": "32000",
"tokenizer.ggml.scores": "6e37bcde2adc7e350e87c496eddd7a2124329c1dc66c5bf3ad3997253e4f7a62",
"tokenizer.ggml.token_type": "b6ecf55ec64ee67d87750bdb8d757a2c58bf78377e9f4219f5689a6c4dea57ce",
"tokenizer.ggml.tokens": "d168da3ddd3eee820916945fcb9baf24dd3cde42f606cffa2d19e7c8a8743918",
"blk.0.attn_norm.weight": "216aeb2c9e0c271f899e1ef2a63cceeb8f41e97642e84fada54b1d3c1c11cf25",
"blk.0.attn_output.weight": "b597d56f7188ffc1fafc273fadc59d41738cffd677ae98c61a62c3285b3a3099",
"blk.0.attn_qkv.weight": "d28a6b44e13f59be5483e4be2bedb544e346168d720aca27f47d1a5a722be91e",
"blk.0.ffn_down.weight": "4a691370e5a61fcbbf540fbcbf4c0f1d15dec0364528c0e916d0744f6262b63b",
"blk.0.ffn_norm.weight": "0c00af2b4a3128bec64a0cbb1084b042fdbe13d9ad0d03bd577f9449dfead338",
"blk.0.ffn_up.weight": "b32b52f790c1c083bfb8a3126dc1111cfeeb28dc8c584a930a1e5334cb176bf4",
"blk.1.attn_norm.weight": "68748011503c6c029e8e69a84a8e5a89338f378769627b6dbf7f93d715c292e1",
"blk.1.attn_output.weight": "2267344add13b048ca59e4377c86dc512be8046a57156901fa32a20fa74e4ee0",
"blk.1.attn_qkv.weight": "9109d2e3d7a2eacfda5226587b8be124a3bf44b972da7ebb17aa15795897eacc",
"blk.1.ffn_down.weight": "d675df4df4dd039c0c339ad6445d39eddd2004db6bf35bed6314c7497245a633",
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"blk.2.attn_qkv.weight": "a61287a9852e2f5aca9c100b471d98398b2913a3497c743de3c70ec9ddd7087f",
"blk.2.ffn_down.weight": "4fddcc382c8dceeab027fe43d8d44e67edb5e8ce4b9a1b7f773c87770380ade1",
"blk.2.ffn_norm.weight": "07e05f82b3f63f711db3b684ca79aed25c0657917e66f88af47348a82065c227",
"blk.2.ffn_up.weight": "4835a682ef1826c12df01ae7663fc45f9c82bc8e64b665f13fb7da8e201ec0fb",
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"blk.3.ffn_down.weight": "97280897a7cd86db2830c004bccc5bc094f50e293baded0189159a2019145a6e",
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"blk.13.attn_qkv.weight": "d3d8339a1c4782d9e73d77fdebe154d3c5b83ac40c9175b3e91a4977d08f876b",
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"blk.14.attn_output.weight": "155d52efb23d366016d861a251d4d1f4a0c13699188c50d50dba016a0d8bfcd9",
"blk.14.attn_qkv.weight": "8e1415084e1f33c73a777f19e752489f4dd312cca047733e5ea643cd4a955e04",
"blk.14.ffn_down.weight": "a2a142226b94baa01ccb65bdea2b7418e49085c1d9c3c63e544e3112c58a25da",
"blk.14.ffn_norm.weight": "8aecfd9b0ae6affaea31a80c5c9a4a14b31deaa0db7bd8f6da2a64d23447921c",
"blk.14.ffn_up.weight": "0c1407237b8c1bd02f193346b5681926fe698a5055eac6a7450451b0f991707c",
"blk.15.attn_norm.weight": "e037bd19880bfa83d983200fb0c7866f8ad16c3ff5cc4b4f3a37ca7373870ff6",
"blk.15.attn_output.weight": "045fe4fc95cc129a1b92771b179c11b12845c4c088786c607f17bd98857e68e1",
"blk.15.attn_qkv.weight": "7621b7559705cab1d4dea1c69f76dbf9dc1c8837a203b656f484703b9c1b70ce",
"blk.15.ffn_down.weight": "7e5ac20e290bc60761e1cd972354fde225b7fa861048d44d9a0dd9b046d55f58",
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"blk.20.attn_qkv.weight": "406de9e35b0729ebe902d7a47905cc7fb29a921431ed35dbef0c03e5690a1329",
"blk.20.ffn_down.weight": "62fb678b0d1261e19a4903a2b347d67afcc8acff01feb33a687a35a2d1e6f9a5",
"blk.20.ffn_norm.weight": "cd9d36b7e71e55c8925b97bb09c28219f182626bcff094878ae39c3db887a14b",
"blk.20.ffn_up.weight": "b9276771d79d3e932e73ccc520c3f8476342b9ef312ed2ee1e0da822e6e3ad18",
"blk.21.attn_norm.weight": "66d8c8a35e13ce9c2a0e75b670150e2c31484a55c2316df46075312196178ed3",
"blk.21.attn_output.weight": "12ab46c9382648f9b3350fdd92a6be6352743d62d6b520d7e2024e0c838588f5",
"blk.21.attn_qkv.weight": "a7909676ee1675ca23cd29a5fdd226df8dd9d68f94c6c9bbb51dd9fd38504008",
"blk.21.ffn_down.weight": "6fb317279c6542e82f97d5a12a60fac1bd0fa0405154f9fbe265e2fe39bd49cc",
"blk.21.ffn_norm.weight": "c0f703eb3ff161b5ba4490d87d8684b8a6c47a8f433e12f418333b9db439010a",
"blk.21.ffn_up.weight": "6dbdb80ef0c35e364bbce12d40d5e74c7963c7b55d58d9579567a07ffce7b863",
"blk.22.attn_norm.weight": "f94237433bf03d675cb2f655b81ca91a1ce2447bc6b00b13d6b0ccfe2d411eff",
"blk.22.attn_output.weight": "e821f95995ce497c01e63ca64f737713b1b65f11df1903e51d444aa516f33f71",
"blk.22.attn_qkv.weight": "1b0f717c73afb5eb4c82a1708c4e85c969e8a2a8770d9ddb78b1870a2d8a781e",
"blk.22.ffn_down.weight": "0f33f7a3cdc685484be99aa0c03642b0b20850a27d1fddbe054b13a9382f3ccb",
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"blk.22.ffn_up.weight": "63ac300e1efb34041dd0136cf43ea622fac6f0caccce1cd9262f5e08d2cf179c",
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"blk.23.attn_qkv.weight": "a9d9978806724c2959f2cf386c233831f08e1e933dbf2b32665e788d9d512ea4",
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"blk.23.ffn_up.weight": "df2b5c7dbd5834545b815073af0c7355b065124e6d6f0fee78d8fa5b2076dc3e",
"blk.24.attn_norm.weight": "c41957c4a79ad3b16f6e11daec1c7f530b9f3f4b618e1e4367c3b67787ac4ab6",
"blk.24.attn_output.weight": "ef7d61f5fc88ac6f31bf60cb5f4d2d6b8df42d38825807112361a7224b0dee3b",
"blk.24.attn_qkv.weight": "3e6a58fe7d49c90bb6971efbad3371c32256881173ea5aee4b0c296cb206490f",
"blk.24.ffn_down.weight": "f43619144047de42fed81dfa495f1815d3cb771330e574043e2b67620819292c",
"blk.24.ffn_norm.weight": "5501d4a2a98c8ca6b42e77b53b221dbc08f530f6a067256d787534ec6fe028bd",
"blk.24.ffn_up.weight": "d64c8b0e509e2b1118f6000176f8956cacecdbb200c7e95ed93fb78b6e26c84a",
"blk.25.attn_norm.weight": "502fa3c302d371f61c5791f4615b73018ffb1daa09b6499b227116581244c5d4",
"blk.25.attn_output.weight": "ad8391d4e9c980856f2547aa945b2b6a407a6382158dc1ddd4f08d94ecc24be6",
"blk.25.attn_qkv.weight": "42e8983780d4a01a02c54ad23d4df21eea437f119a10af5a9c12a76a42d308c1",
"blk.25.ffn_down.weight": "302dd010d4e0ab4eeaee89090409ea0dddeeeed3236415eb8f97c942497eea91",
"blk.25.ffn_norm.weight": "fb34c1ee5bca96986c08834df0a0c047ba041c1123ac1f563e9d64312bf82d6a",
"blk.25.ffn_up.weight": "10739a8de156816d93c92b935386540bfa976bdbef204f0312960f6fc657582f",
"blk.26.attn_norm.weight": "7036c711609128c4e55968ff3681d3043338879a5737efd6c2ac9e1a2a61f1a0",
"blk.26.attn_output.weight": "db5db45dead5cb911fa01da59832f121b7c18b2d167bf53741c40819f24d346c",
"blk.26.attn_qkv.weight": "cae34c6b7f82ed14348d5ed30a79919c383737c1694a9cb9c0de609d3b0c1d0a",
"blk.26.ffn_down.weight": "491ec3a4da9b4f49f8ebc6be658ce397a9b801ae9fb35e82177e47808c65e5d0",
"blk.26.ffn_norm.weight": "fd7059d75d7f0e5288511ddeeb0f772eb3cae3ccfe4226b877015834edc3c386",
"blk.26.ffn_up.weight": "ea1ee1274c56458ce056d2205e5bb6e5422ce4cb0ad58006b8141749b97a0c39",
"blk.27.attn_norm.weight": "cc362c9a937609265052cd38544af17a1a7448cea086d4c801139e1fc865832d",
"blk.27.attn_output.weight": "ba757a81dabde9cb1b069d1bb616fe79649a1724f756567ec61caed1304fe6cf",
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"blk.29.attn_norm.weight": "61e8003b5329462ffe0fe172f2b160260de006aed858332d49d75504b6b6aa7a",
"blk.29.attn_output.weight": "ca44542a72a37476dc73dbdcc01f5b7497cb3ebc4ea230a55c9634ccd8e56ad4",
"blk.29.attn_qkv.weight": "abb3d9d6abe57872ae3daa51935d43264093ded5ce63b49d1e280ee5758be0e4",
"blk.29.ffn_down.weight": "6764b895fce881df097489c263446f0106de36217997660c15984b3ee22a5a06",
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"blk.29.ffn_up.weight": "fa7ad57a84954f4121653152efed1a871d8adb20a1ea9086e3e849ce359d7d2e",
"blk.30.attn_norm.weight": "91a697aca1e42af54f806a20211031c3369e8d0bd58df1b0147fe24954e1f5a4",
"blk.30.attn_output.weight": "36063fcf766c89ac75be56f688cc63cefe5f2c733fbf4378ea9956ad386fa148",
"blk.30.attn_qkv.weight": "2cacd1161f1121a2c0b979930134f4666f73fb8d7237b3b0659ae091b15955a6",
"blk.30.ffn_down.weight": "9f3fcb6217100595850c05dc98f9ab2a263afdb6ab28df2fcb08aeff512057d7",
"blk.30.ffn_norm.weight": "6c600bc1fc7de39d4f8917b81fc7d1d5ed2a9b56492234c13a4bd6028c30d880",
"blk.30.ffn_up.weight": "73cabd1bb011956b2689ea3338bb76642ef3a57c197377d666d2ab5f56317668",
"blk.31.attn_norm.weight": "72d3e1cc771380645fa75a899858c95f39857a4f3f1ed60fe1578df383b8bc53",
"blk.31.attn_output.weight": "40089cdd29994dc19a1d89fa15902a89cfeca3540f12dc9bf4d00ef82506e456",
"blk.31.attn_qkv.weight": "1d0bb40e9258071ae14290a53c619a8e331dda07354d2a02ef45766c029ae5e4",
"blk.31.ffn_down.weight": "8defa0e06335b793fa8be03883f0a322d6c5b33f52c69c943c35c60d16e42c0a",
"blk.31.ffn_norm.weight": "33c55d9d0c496ccfb130361fe131649346e098abaaac39c0519507e5d846721d",
"blk.31.ffn_up.weight": "599f6503f61c692c1f82001973d35119f9688db5e6be9d9c298411491c93f09b",
"output.weight": "14b8dc662bfa3308ebb2e102c562d8e52c15670e538f20f3216a9c310ca9dd41",
"output_norm.weight": "7f2294ba94ce65681df6c7ddd8698799199b9d77dc83c10bdad5c3999f0fdb82",
"rope_factors_long.weight": "e34d378664e354652c38f47d10dafb0498ccc2fb042d39ff7fef768146fff22b",
"rope_factors_short.weight": "9379146a4988f373d362fe47b06c75e7fe7c54aa4dc9558758df79b7a87471fd",
"token_embd.weight": "19a03c1fb5ac0baee93b0a7d8b0f26e9a9b011e229b694afc50ebfc13d84f8bf"
}
docs/import.md
View file @ 01b80e9f
...@@ -16,7 +16,9 @@ If the model being imported is one of these architectures, it can be imported di ...@@ -16,7 +16,9 @@ If the model being imported is one of these architectures, it can be imported di
- LlamaForCausalLM - LlamaForCausalLM
- MistralForCausalLM - MistralForCausalLM
- MixtralForCausalLM
- GemmaForCausalLM - GemmaForCausalLM
- Phi3ForCausalLM
```dockerfile ```dockerfile
FROM /path/to/safetensors/directory FROM /path/to/safetensors/directory
......
llm/ggml.go
View file @ 01b80e9f
...@@ -157,6 +157,14 @@ type Tensor struct { ...@@ -157,6 +157,14 @@ type Tensor struct {
io.WriterTo `json:"-"` io.WriterTo `json:"-"`
} }
func (t Tensor) block() (n int) {
if _, err := fmt.Sscanf(t.Name, "blk.%d.", &n); err != nil {
return -1
}
return
}
func (t Tensor) blockSize() uint64 { func (t Tensor) blockSize() uint64 {
switch t.Kind { switch t.Kind {
case 0, 1, 24, 25, 26, 27, 28, 30: // F32, F16, I8, I16, I32, I64, F64, BF16 case 0, 1, 24, 25, 26, 27, 28, 30: // F32, F16, I8, I16, I32, I64, F64, BF16
......
llm/gguf.go
View file @ 01b80e9f
...@@ -532,15 +532,14 @@ func WriteGGUF(ws io.WriteSeeker, kv KV, ts []Tensor) error { ...@@ -532,15 +532,14 @@ func WriteGGUF(ws io.WriteSeeker, kv KV, ts []Tensor) error {
} }
} }
slices.SortFunc(ts, func(a, b Tensor) int { slices.SortStableFunc(ts, func(a, b Tensor) int {
var i, j int if i, j := a.block(), b.block(); i < 0 && j > 0 {
if n, err := fmt.Sscanf(a.Name, "blk.%d", &i); err != nil || n != 1 { return 1
return cmp.Compare(a.Name, b.Name) } else if i > 0 && j < 0 {
} else if n, err := fmt.Sscanf(b.Name, "blk.%d", &j); err != nil || n != 1 { return -1
return cmp.Compare(a.Name, b.Name) } else {
}
return cmp.Compare(i, j) return cmp.Compare(i, j)
}
}) })
var s uint64 var s uint64
......
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