Upload folder using huggingface_hub

config.json

@@ -0,0 +1,72 @@
+{
+  "_name_or_path": "/fs/archive/share/yulan/data/aa_mini/output/minicpm-2B-final-stage19/checkpoint-184750",
+  "architectures": [
+    "MiniCPMForCausalLM"
+  ],
+"auto_map": {
+"AutoConfig": "configuration_minicpm.MiniCPMConfig",
+"AutoModel": "modeling_minicpm.MiniCPMModel",
+"AutoModelForCausalLM": "modeling_minicpm.MiniCPMForCausalLM",
+"AutoModelForSeq2SeqLM": "modeling_minicpm.MiniCPMForCausalLM",
+"AutoModelForSequenceClassification": "modeling_minicpm.MiniCPMForSequenceClassification"
+},
+  "attention_bias": true,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "dim_model_base": 1920,
+  "dim_model_base_attn": 64,
+  "dim_model_base_init": null,
+  "dim_model_base_lmh": 1,
+  "dim_model_base_logits": 1920.0,
+  "dim_model_base_lr": 256.0,
+  "down_proj_alpha": 0.03450327796711771,
+  "embed_tokens_alpha": 1,
+  "embedding_ln": false,
+  "embedding_rmsln": false,
+  "eos_token_id": 2,
+  "gate_up_proj_alpha": 0.3651483716701107,
+  "gradient_checkpointing_step": 11,
+  "hidden_act": "silu",
+  "hidden_size": 1920,
+  "hidden_states_shrink": 0.18708286933869706,
+  "init_scale_o": 1,
+  "initializer_range": 5e-05,
+  "input_layernorm_alpha": 1.0,
+  "intermediate_size": 4800,
+  "k_proj_alpha": 0.3651483716701107,
+  "layer_norm_eps": 1e-06,
+  "lm_head_alpha": 1.0,
+  "ln_scale": 1,
+  "max_position_embeddings": 4096,
+  "model_reproduce": "transformer",
+  "model_type": "minicpm",
+  "norm_alpha": 1.0,
+  "num_attention_heads": 30,
+  "num_epochs_trained_before_this_epoch": 18.0,
+  "num_hidden_layers": 56,
+  "num_key_value_heads": 6,
+  "num_steps_trained_before_this_epoch": 175608,
+  "o_proj_alpha": 0.03450327796711771,
+  "post_attention_layernorm_alpha": 1.0,
+  "q_proj_alpha": 0.3651483716701107,
+  "qk_layernorm": false,
+  "rms_norm_eps": 1e-06,
+  "rms_type": "llama",
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "scale_emb": 10.0,
+  "shrink_alpha": 1,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.44.2",
+  "use_cache": true,
+  "use_emb_alpha": true,
+  "use_liger": true,
+  "use_norm_alpha": false,
+  "use_sliding_window": false,
+  "v_proj_alpha": 0.3651483716701107,
+  "vocab_size": 99000,
+  "wesar_weights": false,
+  "z_loss": 0.0001
+}

configuration_minicpm.py

@@ -0,0 +1,202 @@
+# coding=utf-8
+# Copyright 2022 EleutherAI and the HuggingFace Inc. team. All rights reserved.
+#
+# This code is based on EleutherAI's GPT-NeoX library and the GPT-NeoX
+# and OPT implementations in this library. It has been modified from its
+# original forms to accommodate minor architectural differences compared
+# to GPT-NeoX and OPT used by the Meta AI team that trained the model.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+""" MiniCPM model configuration"""
+
+from transformers.configuration_utils import PretrainedConfig
+from transformers.utils import logging
+
+
+logger = logging.get_logger(__name__)
+
+MINICPM_PRETRAINED_CONFIG_ARCHIVE_MAP = {}
+
+
+class MiniCPMConfig(PretrainedConfig):
+    r"""
+    This is the configuration class to store the configuration of a [`MiniCPMModel`]. It is used to instantiate an MiniCPM
+    model according to the specified arguments, defining the model architecture. Instantiating a configuration with the
+    defaults will yield a similar configuration to that of the MiniCPM-7B.
+
+    Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the
+    documentation from [`PretrainedConfig`] for more information.
+
+
+    Args:
+        vocab_size (`int`, *optional*, defaults to 32000):
+            Vocabulary size of the MiniCPM model. Defines the number of different tokens that can be represented by the
+            `inputs_ids` passed when calling [`MiniCPMModel`]
+        hidden_size (`int`, *optional*, defaults to 4096):
+            Dimension of the hidden representations.
+        intermediate_size (`int`, *optional*, defaults to 11008):
+            Dimension of the MLP representations.
+        num_hidden_layers (`int`, *optional*, defaults to 32):
+            Number of hidden layers in the Transformer decoder.
+        num_attention_heads (`int`, *optional*, defaults to 32):
+            Number of attention heads for each attention layer in the Transformer decoder.
+        num_key_value_heads (`int`, *optional*):
+            This is the number of key_value heads that should be used to implement Grouped Query Attention. If
+            `num_key_value_heads=num_attention_heads`, the model will use Multi Head Attention (MHA), if
+            `num_key_value_heads=1 the model will use Multi Query Attention (MQA) otherwise GQA is used. When
+            converting a multi-head checkpoint to a GQA checkpoint, each group key and value head should be constructed
+            by meanpooling all the original heads within that group. For more details checkout [this
+            paper](https://arxiv.org/pdf/2305.13245.pdf). If it is not specified, will default to
+            `num_attention_heads`.
+        hidden_act (`str` or `function`, *optional*, defaults to `"silu"`):
+            The non-linear activation function (function or string) in the decoder.
+        max_position_embeddings (`int`, *optional*, defaults to 2048):
+            The maximum sequence length that this model might ever be used with. MiniCPM 1 supports up to 2048 tokens,
+            MiniCPM 2 up to 4096, CodeMiniCPM up to 16384.
+        initializer_range (`float`, *optional*, defaults to 0.02):
+            The standard deviation of the truncated_normal_initializer for initializing all weight matrices.
+        rms_norm_eps (`float`, *optional*, defaults to 1e-06):
+            The epsilon used by the rms normalization layers.
+        use_cache (`bool`, *optional*, defaults to `True`):
+            Whether or not the model should return the last key/values attentions (not used by all models). Only
+            relevant if `config.is_decoder=True`.
+        pad_token_id (`int`, *optional*):
+            Padding token id.
+        bos_token_id (`int`, *optional*, defaults to 1):
+            Beginning of stream token id.
+        eos_token_id (`int`, *optional*, defaults to 2):
+            End of stream token id.
+        pretraining_tp (`int`, *optional*, defaults to 1):
+            Experimental feature. Tensor parallelism rank used during pretraining. Please refer to [this
+            document](https://huggingface.co/docs/transformers/parallelism) to understand more about it. This value is
+            necessary to ensure exact reproducibility of the pretraining results. Please refer to [this
+            issue](https://github.com/pytorch/pytorch/issues/76232).
+        tie_word_embeddings (`bool`, *optional*, defaults to `False`):
+            Whether to tie weight embeddings
+        rope_theta (`float`, *optional*, defaults to 10000.0):
+            The base period of the RoPE embeddings.
+        rope_scaling (`Dict`, *optional*):
+            Dictionary containing the scaling configuration for the RoPE embeddings. Currently supports two scaling
+            strategies: linear and dynamic. Their scaling factor must be a float greater than 1. The expected format is
+            `{"type": strategy name, "factor": scaling factor}`. When using this flag, don't update
+            `max_position_embeddings` to the expected new maximum. See the following thread for more information on how
+            these scaling strategies behave:
+            https://www.reddit.com/r/LocalMiniCPM/comments/14mrgpr/dynamically_scaled_rope_further_increases/. This is an
+            experimental feature, subject to breaking API changes in future versions.
+        attention_bias (`bool`, defaults to `False`, *optional*, defaults to `False`):
+            Whether to use a bias in the query, key, value and output projection layers during self-attention.
+        attention_dropout (`float`, *optional*, defaults to 0.0):
+            The dropout ratio for the attention probabilities.
+
+    ```python
+    >>> from transformers import MiniCPMModel, MiniCPMConfig
+
+    >>> # Initializing a MiniCPM minicpm-7b style configuration
+    >>> configuration = MiniCPMConfig()
+
+    >>> # Initializing a model from the minicpm-7b style configuration
+    >>> model = MiniCPMModel(configuration)
+
+    >>> # Accessing the model configuration
+    >>> configuration = model.config
+    ```"""
+
+    model_type = "minicpm"
+    keys_to_ignore_at_inference = ["past_key_values"]
+
+    def __init__(
+        self,
+        vocab_size=32000,
+        hidden_size=4096,
+        intermediate_size=11008,
+        num_hidden_layers=32,
+        num_attention_heads=32,
+        num_key_value_heads=None,
+        hidden_act="silu",
+        max_position_embeddings=2048,
+        initializer_range=0.02,
+        rms_norm_eps=1e-6,
+        use_cache=True,
+        pad_token_id=None,
+        bos_token_id=1,
+        eos_token_id=2,
+        pretraining_tp=1,
+        tie_word_embeddings=True,
+        rope_theta=10000.0,
+        rope_scaling=None,
+        attention_bias=False,
+        attention_dropout=0.0,
+        scale_emb=1,
+        dim_model_base=1,
+        scale_depth=1,
+        **kwargs,
+    ):
+        self.vocab_size = vocab_size
+        self.max_position_embeddings = max_position_embeddings
+        self.hidden_size = hidden_size
+        self.intermediate_size = intermediate_size
+        self.num_hidden_layers = num_hidden_layers
+        self.num_attention_heads = num_attention_heads
+
+        # for backward compatibility
+        if num_key_value_heads is None:
+            num_key_value_heads = num_attention_heads
+
+        self.num_key_value_heads = num_key_value_heads
+        self.hidden_act = hidden_act
+        self.initializer_range = initializer_range
+        self.rms_norm_eps = rms_norm_eps
+        self.pretraining_tp = pretraining_tp
+        self.use_cache = use_cache
+        self.rope_theta = rope_theta
+        self.rope_scaling = rope_scaling
+        self._rope_scaling_validation()
+        self.attention_bias = attention_bias
+        self.attention_dropout = attention_dropout
+        self.scale_emb = scale_emb
+        self.dim_model_base = dim_model_base
+        self.scale_depth = scale_depth
+
+        super().__init__(
+            pad_token_id=pad_token_id,
+            bos_token_id=bos_token_id,
+            eos_token_id=eos_token_id,
+            tie_word_embeddings=tie_word_embeddings,
+            **kwargs,
+        )
+        try:
+            import flash_attn
+            self._attn_implementation = "flash_attention_2"
+        except:
+            pass
+
+    def _rope_scaling_validation(self):
+        """
+        Validate the `rope_scaling` configuration.
+        """
+        if self.rope_scaling is None:
+            return
+
+        if not isinstance(self.rope_scaling, dict) or len(self.rope_scaling) != 2:
+            raise ValueError(
+                "`rope_scaling` must be a dictionary with with two fields, `type` and `factor`, "
+                f"got {self.rope_scaling}"
+            )
+        rope_scaling_type = self.rope_scaling.get("type", None)
+        rope_scaling_factor = self.rope_scaling.get("factor", None)
+        if rope_scaling_type is None or rope_scaling_type not in ["linear", "dynamic"]:
+            raise ValueError(
+                f"`rope_scaling`'s type field must be one of ['linear', 'dynamic'], got {rope_scaling_type}"
+            )
+        if rope_scaling_factor is None or not isinstance(rope_scaling_factor, float) or rope_scaling_factor <= 1.0:
+            raise ValueError(f"`rope_scaling`'s factor field must be a float > 1, got {rope_scaling_factor}")

global_step29187/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:281a83ac9253ef0b882ab1ae088ce5da00fbf8e2c7d0b2d5c48227a7630548af
+size 478761714

global_step29187/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bff1f35dd9627cc268f3717a11de1d9af22cbdb05ebb16a97882cb4bee9064c2
+size 478761666

global_step29187/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cfe3f54f323d9b98ec45beaa71f619d0c72b46aabb1c335dc3f5d59cf5fa5823
+size 478761666

global_step29187/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:46a880acd960869c6b38f085b4470d5377941eb232dd7f7a22077eb1a7560676
+size 478761666

global_step29187/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e988699fbb0be6202c2620e17a3fca43be8c9a82cf882d664968a142f888226d
+size 478761666

global_step29187/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:feee0bed0ed67f574cba0d90c265e773bc9d057fe872060b3c11abd945a1d283
+size 478761666

global_step29187/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:32137b1cd476099b5da47dfe7dd7ba772d35c134bf899443bc1920f8d7266ece
+size 478761666

global_step29187/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:835ad89ce8e829c6e0d61a8c1d8a89d72783d8918d51a44bd95e002a9293ecf1
+size 478761666

global_step29187/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:56c09761d3db7dc8f10f49127a5b8e1e70fce1eb739a0dd4fc9d47ce2a1a588c
+size 478761666

global_step29187/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:72c870a40b86acde5e790220a6b7698ff20c5a5b51926df5ffcca661d7ba560d
+size 478761666

global_step29187/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ceaaf2109a55709d7ee4d2555b23ec36e310b5b2fda6bc654f756ef767942e5a
+size 478761666

global_step29187/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:82314eae5c11a0194f9a5258f811b379b3cad6b92a3f872f0ec73f1ac3346786
+size 478761650

global_step29187/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0089ea08a1215d25d8f58f5fde73399ffc7f7cb033ef0610af9e5fd7e8873c49
+size 478761666

global_step29187/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:775e3e2312762f3f69618a9d46833a1463c2cb166fab306a8cdf9002ffb40c57
+size 478761666

global_step29187/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d526a89cd63029f1c83776abea2c1f4e65dbf4c5e6d197cd3de07ad85a2f5c2a
+size 478761666

global_step29187/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:63cd1e79b4ed2f27a50ba2cffc43de0181ecf63e03cfc6116e6fc8adb2ae56e9
+size 478761666

global_step29187/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:95a3cd5a7307cc0a627dacb485161479364ff34dbfd1d389c97d82bbe59bc598
+size 478761666

global_step29187/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:374c89318effe6a0cd7196899943eb7cf97bf1fb0f036d86762b0f18e76da418
+size 478761666

global_step29187/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f2f0e714c1b86f5575b3f56d7d995fb51d36fe4dcec9c178a7b70eae040cd96e
+size 478761666

global_step29187/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:494e8492c5a7233961e0586a76ef4ec6d74c1399ec8e21cd72c2db3d6ec3851c
+size 478761666

global_step29187/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e3b72bd017736c2c903e3552f3e2e81fb26456ff077012c4db3fb22e10fe2209
+size 478761666

global_step29187/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:538afeb2a62a35e0ab6e9570e834d8f161545afe6734d14bcbc206cb5a857a68
+size 478761666

global_step29187/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f6682ef595565d189034d4cd5a256ac19fcb4616dadba08871d841c9324266e8
+size 478761650

global_step29187/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bcea6aa67ac002b791c7a95c9acfdce753d46241920dd78f645a0da1e45377c0
+size 478761666

global_step29187/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:699c4386e153f53a03c87357956658b7611ccb6bf36d55dc9e385b65f504755e
+size 478761666

global_step29187/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6c58d2b95d1aef2e1b7e0fe04e442f1c06b0767a1afdf260d3e5168be97ab488
+size 478761666

global_step29187/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:02bf4fc8d1b33330ab3ae1e8833f4c8c1f518ae7ab45709b112a0cc1f210dc19
+size 478761666

global_step29187/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6888b8b24bf655daf11bf1df7ce6ff5049f37c9f2500e05cfda450d8961e6b32
+size 478761666

global_step29187/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a71fda8a830a3c72ac76892e85dcda128d2d07c11c9dde4182e91e6ac15a955f
+size 478761666

global_step29187/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:03b928269a1ad1adcf7a851170b0426c31911fd8d121bf18dbaa318097a88334
+size 478761666

global_step29187/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0e7c28eacbaa112d9d05ae8143b24981a080fa8b1d8874e43057ed485f954ee5
+size 478761666

global_step29187/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:089c77ade5c339df46a7ee880185e8f531260899cadba64b4ed9bb4e26943abb
+size 478761666

global_step29187/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fc965dd6a38d8f175503bd9cd0672e97cd83221e3b8f8a44c7288f0bbe879e2e
+size 478761666

global_step29187/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fa0c3055cb601ad85d610db08e9af810e971109a693d9576fdb9b1bd1478172f
+size 478761650

global_step29187/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d336858598b0a1209ff03dd61fd7e6598227daf1ff2139758032dcd0c03d451a
+size 478761666

global_step29187/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f5de2adf18432ebb75bf70cce170151af92d78b7862d2fd06e7a5dd7d86d50c4
+size 478761666

global_step29187/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:29d35ffcb243826d0f0c59a745d24a36ec36214af0ebd7ee501ace9dc0957a6c
+size 478761666

global_step29187/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:948df9faa58e3c6d8efb0d5649ec5f795030061c2a08f4ad1d2ebb5eba45bb0c
+size 478761666

global_step29187/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b5f82723d9a23d19bff39682c51cf60e8161604dec7f370c6b3fb189c1168da8
+size 478761666

global_step29187/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a437f053286f3c7e861c61b65534576d4a0a5d71a7b6a163a1de3a192c856404
+size 478761666

global_step29187/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0bac5d61f5fbf07e7e9affa02182acc5558bf5ae286069af4f19e21c4db9c3d6
+size 478761666

global_step29187/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:540b0a9147c05fa9dcba81f868e594e5cd53dc7fa1cf0ae86dccf451c5a52012
+size 478761666

global_step29187/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b3112c739bd72ab77c4f1d65a437ed0312b2fa0b20577ab546d16b184270623c
+size 478761666

global_step29187/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:32e35aec2f65a070160d63609ab2bd9070e33dbe00723a2ce5bf5d40ec5ff8d1
+size 478761666

global_step29187/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3ff5fa7be77d817d9109dcc3f49996ab2a1075b669a87a0b238fcd33b8521005
+size 478761650

global_step29187/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cce9b61a3964e81f3978283a038b961995dbc0c1bc5fef887d2f358df5243013
+size 478761666

global_step29187/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:689721478cc14cef9de7db4ec0a2c68d68d57b6ae7f24adc848b59eec6b50d26
+size 478761666

global_step29187/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:43f6e485119521aeee0de41a39faa5b4f8fd0ed201756da367316268eb8b323c
+size 478761666