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- .gitattributes +1 -0
- __init__.py +0 -0
- block_config.py +118 -0
- config.json +2961 -0
- configuration_decilm.py +65 -0
- model-00001-of-00049.safetensors +3 -0
- model-00002-of-00049.safetensors +3 -0
- model-00003-of-00049.safetensors +3 -0
- model-00004-of-00049.safetensors +3 -0
- model-00005-of-00049.safetensors +3 -0
- model-00006-of-00049.safetensors +3 -0
- model-00007-of-00049.safetensors +3 -0
- model-00008-of-00049.safetensors +3 -0
- model-00009-of-00049.safetensors +3 -0
- model-00010-of-00049.safetensors +3 -0
- model-00011-of-00049.safetensors +3 -0
- model-00012-of-00049.safetensors +3 -0
- model-00013-of-00049.safetensors +3 -0
- model-00014-of-00049.safetensors +3 -0
- model-00015-of-00049.safetensors +3 -0
- model-00016-of-00049.safetensors +3 -0
- model-00017-of-00049.safetensors +3 -0
- model-00018-of-00049.safetensors +3 -0
- model-00019-of-00049.safetensors +3 -0
- model-00020-of-00049.safetensors +3 -0
- model-00021-of-00049.safetensors +3 -0
- model-00022-of-00049.safetensors +3 -0
- model-00023-of-00049.safetensors +3 -0
- model-00024-of-00049.safetensors +3 -0
- model-00025-of-00049.safetensors +3 -0
- model-00026-of-00049.safetensors +3 -0
- model-00027-of-00049.safetensors +3 -0
- model-00028-of-00049.safetensors +3 -0
- model-00029-of-00049.safetensors +3 -0
- model-00030-of-00049.safetensors +3 -0
- model-00031-of-00049.safetensors +3 -0
- model-00032-of-00049.safetensors +3 -0
- model-00033-of-00049.safetensors +3 -0
- model-00034-of-00049.safetensors +3 -0
- model-00035-of-00049.safetensors +3 -0
- model-00036-of-00049.safetensors +3 -0
- model-00037-of-00049.safetensors +3 -0
- model-00038-of-00049.safetensors +3 -0
- model-00039-of-00049.safetensors +3 -0
- model-00040-of-00049.safetensors +3 -0
- model-00041-of-00049.safetensors +3 -0
- model-00042-of-00049.safetensors +3 -0
- model-00043-of-00049.safetensors +3 -0
- model-00044-of-00049.safetensors +3 -0
- model-00045-of-00049.safetensors +3 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
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| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
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__init__.py
ADDED
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File without changes
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block_config.py
ADDED
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@@ -0,0 +1,118 @@
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| 1 |
+
import dataclasses
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| 2 |
+
import json
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| 3 |
+
import warnings
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| 4 |
+
from dataclasses import dataclass, MISSING
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| 5 |
+
from functools import partial
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+
from typing import Optional, Any
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| 7 |
+
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| 8 |
+
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| 9 |
+
@partial(dataclass, frozen=True, kw_only=True)
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| 10 |
+
class JsonComparable:
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| 11 |
+
def to_json(self) -> str:
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| 12 |
+
return json.dumps(dataclasses.asdict(self))
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| 13 |
+
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| 14 |
+
def __eq__(self, other: "JsonComparable") -> bool:
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| 15 |
+
return self.to_json() == other.to_json()
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| 16 |
+
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| 17 |
+
def __hash__(self) -> int:
|
| 18 |
+
return hash(self.to_json())
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| 19 |
+
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| 20 |
+
def __lt__(self, other: "JsonComparable") -> bool:
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| 21 |
+
return self.to_json() < other.to_json()
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| 22 |
+
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| 23 |
+
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| 24 |
+
@partial(dataclass, frozen=True, kw_only=True)
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| 25 |
+
class SubblockConfig(JsonComparable):
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+
no_op: bool = False
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+
replace_with_linear: bool = False
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| 28 |
+
sparsify: Optional[list[str]] = None
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| 29 |
+
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+
def __post_init__(self):
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| 31 |
+
assert not (self.no_op and self.replace_with_linear)
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| 32 |
+
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| 33 |
+
def _force_setattr(self, name: str, value: Any) -> None:
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| 34 |
+
"""
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| 35 |
+
Set an attribute even in frozen dataclasses.
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Use only inside __post_init__!
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+
"""
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+
object.__setattr__(self, name, value)
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+
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+
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@partial(dataclass, frozen=True, kw_only=True)
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+
class AttentionConfig(SubblockConfig):
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| 43 |
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n_heads_in_group: Optional[int] = None
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| 44 |
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window_length: Optional[int] = None
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| 45 |
+
num_sink_tokens: Optional[int] = None
|
| 46 |
+
use_prefill_window_in_sink_attention: bool = False
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| 47 |
+
unshifted_sink: bool = False
|
| 48 |
+
|
| 49 |
+
def __post_init__(self):
|
| 50 |
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super().__post_init__()
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| 51 |
+
assert not (self.no_op and self.replace_with_linear)
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| 52 |
+
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| 53 |
+
if self.no_op or self.replace_with_linear:
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| 54 |
+
for irrelevant_att in ["n_heads_in_group", "window_length", "num_sink_tokens"]:
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| 55 |
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self._force_setattr(irrelevant_att, None)
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| 56 |
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else:
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| 57 |
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assert self.n_heads_in_group is not None
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| 58 |
+
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| 59 |
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if self.is_sink:
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| 60 |
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assert not (self.unshifted_sink and self.use_prefill_window_in_sink_attention), \
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| 61 |
+
("Unshifted sink uses its own kind of explicit masking, not standard window. "
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| 62 |
+
"Set use_prefill_window_in_sink_attention to False.")
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| 63 |
+
assert not (self.num_sink_tokens == 0 and not self.unshifted_sink), \
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| 64 |
+
"Fake sink attention with 0 sink tokens is only supported with unshifted_sink=True"
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| 65 |
+
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| 66 |
+
@property
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| 67 |
+
def prefill_sliding_window(self) -> Optional[int]:
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| 68 |
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if self.window_length is not None:
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| 69 |
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if not self.is_sink or self.use_prefill_window_in_sink_attention:
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| 70 |
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return self.window_length
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| 71 |
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return None
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| 72 |
+
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| 73 |
+
@property
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| 74 |
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def is_sliding(self) -> bool:
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| 75 |
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return self.prefill_sliding_window is not None
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| 76 |
+
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| 77 |
+
@property
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| 78 |
+
def is_sink(self) -> bool:
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| 79 |
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return (
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| 80 |
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(self.window_length is not None)
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| 81 |
+
and
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| 82 |
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(self.num_sink_tokens is not None)
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| 83 |
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)
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| 84 |
+
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| 85 |
+
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| 86 |
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@partial(dataclass, frozen=True, kw_only=True)
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| 87 |
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class FFNConfig(SubblockConfig):
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| 88 |
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ffn_mult: Optional[float] = None
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| 89 |
+
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| 90 |
+
def __post_init__(self):
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| 91 |
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super().__post_init__()
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| 92 |
+
if self.no_op or self.replace_with_linear:
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| 93 |
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self._force_setattr("ffn_mult", None)
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| 94 |
+
else:
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| 95 |
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assert self.ffn_mult is not None
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| 96 |
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self._force_setattr("ffn_mult", round(self.ffn_mult, 6))
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| 97 |
+
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| 98 |
+
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| 99 |
+
@partial(dataclass, frozen=True, kw_only=True)
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| 100 |
+
class BlockConfig(JsonComparable):
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| 101 |
+
attention: AttentionConfig = MISSING
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| 102 |
+
ffn: FFNConfig = MISSING
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| 103 |
+
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| 104 |
+
def __post_init__(self):
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| 105 |
+
"""
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| 106 |
+
Init subblock dataclasses from dicts
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| 107 |
+
"""
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| 108 |
+
for subblock_name in dataclasses.fields(self):
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| 109 |
+
subblock_config = getattr(self, subblock_name.name)
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| 110 |
+
if isinstance(subblock_config, dict):
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| 111 |
+
subblock_fields = [field.name for field in dataclasses.fields(subblock_name.type)]
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| 112 |
+
unsupported_fields = [field_name for field_name in subblock_config.keys()
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| 113 |
+
if field_name not in subblock_fields]
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| 114 |
+
if len(unsupported_fields) > 0:
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| 115 |
+
warnings.warn(f"Removed unsupported fields {unsupported_fields} from {subblock_name.type.__name__}")
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| 116 |
+
subblock_config = {k: v for k, v in subblock_config.items() if k not in unsupported_fields}
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| 117 |
+
object.__setattr__(self, subblock_name.name,
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| 118 |
+
subblock_name.type(**subblock_config)) # __setattr__ to overcome frozen=True
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config.json
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@@ -0,0 +1,2961 @@
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|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "/lustre/fs1/portfolios/llmservice/users/soumyes/llama-nemotron/results/cw_smy_253b_sft_sp_ultra_blend_v1_maxlen_24k_shuffled_lr8e-6_minlr8e-7_warmup800_GBS256_rerun-step-5700/checkpoints/HF/step1800",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"DeciLMForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_bias": false,
|
| 7 |
+
"attention_dropout": 0.0,
|
| 8 |
+
"auto_map": {
|
| 9 |
+
"AutoConfig": "configuration_decilm.DeciLMConfig",
|
| 10 |
+
"AutoModelForCausalLM": "modeling_decilm.DeciLMForCausalLM"
|
| 11 |
+
},
|
| 12 |
+
"block_configs": [
|
| 13 |
+
{
|
| 14 |
+
"attention": {
|
| 15 |
+
"n_heads_in_group": 16,
|
| 16 |
+
"no_op": false,
|
| 17 |
+
"num_sink_tokens": null,
|
| 18 |
+
"replace_with_linear": false,
|
| 19 |
+
"sparsify": null,
|
| 20 |
+
"unshifted_sink": false,
|
| 21 |
+
"use_prefill_window_in_sink_attention": false,
|
| 22 |
+
"window_length": null
|
| 23 |
+
},
|
| 24 |
+
"ffn": {
|
| 25 |
+
"ffn_mult": 0.4875,
|
| 26 |
+
"no_op": false,
|
| 27 |
+
"replace_with_linear": false,
|
| 28 |
+
"sparsify": null
|
| 29 |
+
}
|
| 30 |
+
},
|
| 31 |
+
{
|
| 32 |
+
"attention": {
|
| 33 |
+
"n_heads_in_group": 16,
|
| 34 |
+
"no_op": false,
|
| 35 |
+
"num_sink_tokens": null,
|
| 36 |
+
"replace_with_linear": false,
|
| 37 |
+
"sparsify": null,
|
| 38 |
+
"unshifted_sink": false,
|
| 39 |
+
"use_prefill_window_in_sink_attention": false,
|
| 40 |
+
"window_length": null
|
| 41 |
+
},
|
| 42 |
+
"ffn": {
|
| 43 |
+
"ffn_mult": 0.975,
|
| 44 |
+
"no_op": false,
|
| 45 |
+
"replace_with_linear": false,
|
| 46 |
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+
"sparsify": null,
|
| 2846 |
+
"unshifted_sink": false,
|
| 2847 |
+
"use_prefill_window_in_sink_attention": false,
|
| 2848 |
+
"window_length": null
|
| 2849 |
+
},
|
| 2850 |
+
"ffn": {
|
| 2851 |
+
"ffn_mult": 4.875,
|
| 2852 |
+
"no_op": false,
|
| 2853 |
+
"replace_with_linear": false,
|
| 2854 |
+
"sparsify": null
|
| 2855 |
+
}
|
| 2856 |
+
},
|
| 2857 |
+
{
|
| 2858 |
+
"attention": {
|
| 2859 |
+
"n_heads_in_group": 16,
|
| 2860 |
+
"no_op": false,
|
| 2861 |
+
"num_sink_tokens": null,
|
| 2862 |
+
"replace_with_linear": false,
|
| 2863 |
+
"sparsify": null,
|
| 2864 |
+
"unshifted_sink": false,
|
| 2865 |
+
"use_prefill_window_in_sink_attention": false,
|
| 2866 |
+
"window_length": null
|
| 2867 |
+
},
|
| 2868 |
+
"ffn": {
|
| 2869 |
+
"ffn_mult": 4.875,
|
| 2870 |
+
"no_op": false,
|
| 2871 |
+
"replace_with_linear": false,
|
| 2872 |
+
"sparsify": null
|
| 2873 |
+
}
|
| 2874 |
+
},
|
| 2875 |
+
{
|
| 2876 |
+
"attention": {
|
| 2877 |
+
"n_heads_in_group": 16,
|
| 2878 |
+
"no_op": false,
|
| 2879 |
+
"num_sink_tokens": null,
|
| 2880 |
+
"replace_with_linear": false,
|
| 2881 |
+
"sparsify": null,
|
| 2882 |
+
"unshifted_sink": false,
|
| 2883 |
+
"use_prefill_window_in_sink_attention": false,
|
| 2884 |
+
"window_length": null
|
| 2885 |
+
},
|
| 2886 |
+
"ffn": {
|
| 2887 |
+
"ffn_mult": 4.875,
|
| 2888 |
+
"no_op": false,
|
| 2889 |
+
"replace_with_linear": false,
|
| 2890 |
+
"sparsify": null
|
| 2891 |
+
}
|
| 2892 |
+
},
|
| 2893 |
+
{
|
| 2894 |
+
"attention": {
|
| 2895 |
+
"n_heads_in_group": 16,
|
| 2896 |
+
"no_op": false,
|
| 2897 |
+
"num_sink_tokens": null,
|
| 2898 |
+
"replace_with_linear": false,
|
| 2899 |
+
"sparsify": null,
|
| 2900 |
+
"unshifted_sink": false,
|
| 2901 |
+
"use_prefill_window_in_sink_attention": false,
|
| 2902 |
+
"window_length": null
|
| 2903 |
+
},
|
| 2904 |
+
"ffn": {
|
| 2905 |
+
"ffn_mult": 4.875,
|
| 2906 |
+
"no_op": false,
|
| 2907 |
+
"replace_with_linear": false,
|
| 2908 |
+
"sparsify": null
|
| 2909 |
+
}
|
| 2910 |
+
},
|
| 2911 |
+
{
|
| 2912 |
+
"attention": {
|
| 2913 |
+
"n_heads_in_group": 16,
|
| 2914 |
+
"no_op": false,
|
| 2915 |
+
"num_sink_tokens": null,
|
| 2916 |
+
"replace_with_linear": false,
|
| 2917 |
+
"sparsify": null,
|
| 2918 |
+
"unshifted_sink": false,
|
| 2919 |
+
"use_prefill_window_in_sink_attention": false,
|
| 2920 |
+
"window_length": null
|
| 2921 |
+
},
|
| 2922 |
+
"ffn": {
|
| 2923 |
+
"ffn_mult": 2.4375,
|
| 2924 |
+
"no_op": false,
|
| 2925 |
+
"replace_with_linear": false,
|
| 2926 |
+
"sparsify": null
|
| 2927 |
+
}
|
| 2928 |
+
}
|
| 2929 |
+
],
|
| 2930 |
+
"bos_token_id": 128000,
|
| 2931 |
+
"eos_token_id": [
|
| 2932 |
+
128001,
|
| 2933 |
+
128008,
|
| 2934 |
+
128009
|
| 2935 |
+
],
|
| 2936 |
+
"hidden_act": "silu",
|
| 2937 |
+
"hidden_size": 16384,
|
| 2938 |
+
"initializer_range": 0.02,
|
| 2939 |
+
"intermediate_size": null,
|
| 2940 |
+
"max_position_embeddings": 131072,
|
| 2941 |
+
"mlp_bias": false,
|
| 2942 |
+
"model_type": "nemotron-nas",
|
| 2943 |
+
"num_attention_heads": 128,
|
| 2944 |
+
"num_hidden_layers": 162,
|
| 2945 |
+
"num_key_value_heads": null,
|
| 2946 |
+
"pretraining_tp": 1,
|
| 2947 |
+
"rms_norm_eps": 1e-05,
|
| 2948 |
+
"rope_scaling": {
|
| 2949 |
+
"factor": 16.0,
|
| 2950 |
+
"high_freq_factor": 4.0,
|
| 2951 |
+
"low_freq_factor": 1.0,
|
| 2952 |
+
"original_max_position_embeddings": 8192,
|
| 2953 |
+
"rope_type": "llama3"
|
| 2954 |
+
},
|
| 2955 |
+
"rope_theta": 500000.0,
|
| 2956 |
+
"tie_word_embeddings": false,
|
| 2957 |
+
"torch_dtype": "bfloat16",
|
| 2958 |
+
"transformers_version": "4.45.1",
|
| 2959 |
+
"use_cache": true,
|
| 2960 |
+
"vocab_size": 128256
|
| 2961 |
+
}
|
configuration_decilm.py
ADDED
|
@@ -0,0 +1,65 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# coding=utf-8
|
| 2 |
+
# Copyright 2024 Nvidia Corporation. All rights reserved.
|
| 3 |
+
#
|
| 4 |
+
# Licensed under the Apache License, Version 2.0 (the "License");
|
| 5 |
+
# you may not use this file except in compliance with the License.
|
| 6 |
+
# You may obtain a copy of the License at
|
| 7 |
+
#
|
| 8 |
+
# http://www.apache.org/licenses/LICENSE-2.0
|
| 9 |
+
#
|
| 10 |
+
# Unless required by applicable law or agreed to in writing, software
|
| 11 |
+
# distributed under the License is distributed on an "AS IS" BASIS,
|
| 12 |
+
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
| 13 |
+
# See the License for the specific language governing permissions and
|
| 14 |
+
# limitations under the License.
|
| 15 |
+
|
| 16 |
+
import dataclasses
|
| 17 |
+
import warnings
|
| 18 |
+
from typing import Dict, Any
|
| 19 |
+
|
| 20 |
+
from transformers.utils import is_flash_attn_2_available
|
| 21 |
+
|
| 22 |
+
from .block_config import BlockConfig
|
| 23 |
+
from .transformers_4_44_2__configuration_llama import LlamaConfig
|
| 24 |
+
from .transformers_4_44_2__modeling_rope_utils import \
|
| 25 |
+
rope_config_validation # fake import to make AutoConfig infer the dependency
|
| 26 |
+
|
| 27 |
+
rope_config_validation # this line is here to make sure that auto-formatting doesn't remove the import
|
| 28 |
+
|
| 29 |
+
|
| 30 |
+
class DeciLMConfig(LlamaConfig):
|
| 31 |
+
model_type = "nemotron-nas"
|
| 32 |
+
|
| 33 |
+
def __init__(
|
| 34 |
+
self,
|
| 35 |
+
block_configs: list[dict] | list[BlockConfig] = None,
|
| 36 |
+
**kwargs,
|
| 37 |
+
):
|
| 38 |
+
attn_implementation = kwargs.pop("attn_implementation", None)
|
| 39 |
+
if attn_implementation is None and is_flash_attn_2_available():
|
| 40 |
+
attn_implementation = "flash_attention_2"
|
| 41 |
+
|
| 42 |
+
if block_configs is not None:
|
| 43 |
+
if isinstance(block_configs[0], dict):
|
| 44 |
+
block_configs = [BlockConfig(**conf) for conf in block_configs]
|
| 45 |
+
|
| 46 |
+
using_unshifted_sink = any([block_config.attention.unshifted_sink for block_config in block_configs])
|
| 47 |
+
if using_unshifted_sink and attn_implementation != "eager":
|
| 48 |
+
warnings.warn("Forcing attn_implementation='eager' since some attention layers use unshifted sink")
|
| 49 |
+
attn_implementation = "eager"
|
| 50 |
+
|
| 51 |
+
super().__init__(attn_implementation=attn_implementation, **kwargs)
|
| 52 |
+
|
| 53 |
+
self.intermediate_size = None
|
| 54 |
+
self.num_key_value_heads = None
|
| 55 |
+
|
| 56 |
+
if block_configs is not None:
|
| 57 |
+
assert len(block_configs) == self.num_hidden_layers
|
| 58 |
+
|
| 59 |
+
self.block_configs: list[BlockConfig] = block_configs
|
| 60 |
+
|
| 61 |
+
def to_dict(self) -> Dict[str, Any]:
|
| 62 |
+
self_dict = super().to_dict()
|
| 63 |
+
if self.block_configs is not None:
|
| 64 |
+
self_dict["block_configs"] = [dataclasses.asdict(conf) for conf in self.block_configs]
|
| 65 |
+
return self_dict
|
model-00001-of-00049.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
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version https://git-lfs.github.com/spec/v1
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ADDED
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ADDED
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ADDED
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model-00021-of-00049.safetensors
ADDED
|
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