Upload 10 files

added_tokens.json

@@ -0,0 +1,3 @@
+{
+  "[PAD]": 32000
+}

config.json

@@ -0,0 +1,38 @@
+{
+  "_name_or_path": "ddh0/OrcaMaidXL-17B-32k",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "auto_map": {
+    "AutoConfig": "configuration_llama.LlamaConfig",
+    "AutoModelForCausalLM": "modeling_llama_yarn.LlamaForCausalLM"
+  },
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 13824,
+  "max_position_embeddings": 32768,
+  "model_type": "llama",
+  "num_attention_heads": 40,
+  "num_hidden_layers": 54,
+  "num_key_value_heads": 40,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 8.0,
+    "original_max_position_embeddings": 4096,
+    "type": "yarn",
+    "finetuned": false
+  },
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.36.1",
+  "use_cache": true,
+  "vocab_size": 32000
+}

configuration_llama.py

@@ -0,0 +1,184 @@
+# 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.
+""" LLaMA model configuration"""
+
+from transformers.configuration_utils import PretrainedConfig
+from transformers.utils import logging
+
+
+logger = logging.get_logger(__name__)
+
+LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP = {}
+
+
+class LlamaConfig(PretrainedConfig):
+    r"""
+    This is the configuration class to store the configuration of a [`LlamaModel`]. It is used to instantiate an LLaMA
+    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 LLaMA-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 LLaMA model. Defines the number of different tokens that can be represented by the
+            `inputs_ids` passed when calling [`LlamaModel`]
+        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 encoder.
+        num_attention_heads (`int`, *optional*, defaults to 32):
+            Number of attention heads for each attention layer in the Transformer encoder.
+        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`.
+        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).
+        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. Typically set this to something large
+            just in case (e.g., 512 or 1024 or 2048).
+        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-12):
+            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`.
+        tie_word_embeddings(`bool`, *optional*, defaults to `False`):
+            Whether to tie weight embeddings
+        rope_scaling (`Dict`, *optional*):
+            Dictionary containing the scaling configuration for the RoPE embeddings. Currently supports three scaling
+            strategies: linear and dynamic. Their scaling factor must be an 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/LocalLLaMA/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.
+
+        Example:
+
+    ```python
+    >>> from transformers import LlamaModel, LlamaConfig
+
+    >>> # Initializing a LLaMA llama-7b style configuration
+    >>> configuration = LlamaConfig()
+
+    >>> # Initializing a model from the llama-7b style configuration
+    >>> model = LlamaModel(configuration)
+
+    >>> # Accessing the model configuration
+    >>> configuration = model.config
+    ```"""
+    model_type = "llama"
+    keys_to_ignore_at_inference = ["past_key_values"]
+
+    def __init__(
+        self,
+        vocab_size=32000,
+        hidden_size=5120,
+        intermediate_size=13824,
+        num_hidden_layers=54,
+        num_attention_heads=40,
+        num_key_value_heads=40,
+        hidden_act="silu",
+        max_position_embeddings=32768,
+        initializer_range=0.02,
+        rms_norm_eps=1e-05,
+        use_cache=True,
+        pad_token_id=0,
+        bos_token_id=1,
+        eos_token_id=2,
+        pretraining_tp=1,
+        tie_word_embeddings=False,
+        rope_theta=10000,
+        rope_scaling=None,
+        attention_bias=False,
+        **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
+
+        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,
+        )
+
+    def _rope_scaling_validation(self):
+        """
+        Validate the `rope_scaling` configuration.
+        """
+        if self.rope_scaling is None:
+            return
+
+        if not isinstance(self.rope_scaling, dict):
+            raise ValueError(
+                "`rope_scaling` must be a dictionary, "
+                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", "yarn", "dynamic-yarn"]:
+            raise ValueError(
+                f"`rope_scaling`'s name field must be one of ['linear', 'dynamic', 'yarn', 'dynamic-yarn'], 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 an float > 1, got {rope_scaling_factor}")
+        if rope_scaling_type == "yarn" or rope_scaling_type == "dynamic-yarn":
+            original_max_position_embeddings = self.rope_scaling.get("original_max_position_embeddings", None)
+            if original_max_position_embeddings is None or not isinstance(original_max_position_embeddings, int):
+                raise ValueError(f"`rope_scaling.original_max_position_embeddings` must be set to an int when using yarn, and dynamic-yarn")

model-00001-of-00002.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4b142cdc9e6a93dd2054f9945d55966cddf435dd73b31e883a4d3718661cf334
+size 17994156432

model-00002-of-00002.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a27d768d4b4d55eae8db3d8285a66597bd2400962a680d87085d148ec880b601
+size 16919354560

model.safetensors.index.json

@@ -0,0 +1 @@
+{"metadata": {"mergekit_version": "0.0.3.1"}, "weight_map": {"model.embed_tokens.weight": "model-00001-of-00002.safetensors", "model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors", "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", "model.layers.0.mlp.up_proj.weight": "model-00001-of-00002.safetensors", "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors", "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", "model.layers.1.mlp.up_proj.weight": "model-00001-of-00002.safetensors", "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors", "model.layers.10.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", "model.layers.10.mlp.up_proj.weight": "model-00001-of-00002.safetensors", "model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.10.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.10.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.10.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors", "model.layers.11.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", "model.layers.11.mlp.up_proj.weight": "model-00001-of-00002.safetensors", "model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.11.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.11.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.11.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors", "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", "model.layers.2.mlp.up_proj.weight": "model-00001-of-00002.safetensors", "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors", "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", "model.layers.3.mlp.up_proj.weight": "model-00001-of-00002.safetensors", "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors", "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", "model.layers.4.mlp.up_proj.weight": "model-00001-of-00002.safetensors", "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors", "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", "model.layers.5.mlp.up_proj.weight": "model-00001-of-00002.safetensors", "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors", "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", "model.layers.6.mlp.up_proj.weight": "model-00001-of-00002.safetensors", "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors", "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", "model.layers.7.mlp.up_proj.weight": "model-00001-of-00002.safetensors", "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors", "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", "model.layers.8.mlp.up_proj.weight": "model-00001-of-00002.safetensors", "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors", "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", "model.layers.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors", "model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.42.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.42.mlp.down_proj.weight": "model-00001-of-00002.safetensors", "model.layers.42.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", "model.layers.42.mlp.up_proj.weight": "model-00001-of-00002.safetensors", "model.layers.42.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.42.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.42.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.42.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.42.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.43.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.43.mlp.down_proj.weight": "model-00001-of-00002.safetensors", "model.layers.43.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", "model.layers.43.mlp.up_proj.weight": "model-00001-of-00002.safetensors", "model.layers.43.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.43.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.43.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.43.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.43.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.44.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.44.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", "model.layers.44.mlp.up_proj.weight": "model-00001-of-00002.safetensors", "model.layers.44.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.44.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.44.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.44.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors", "model.layers.12.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", "model.layers.12.mlp.up_proj.weight": "model-00001-of-00002.safetensors", "model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.12.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.12.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.12.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.12.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors", "model.layers.13.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", "model.layers.13.mlp.up_proj.weight": "model-00001-of-00002.safetensors", "model.layers.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.13.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.13.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.13.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.13.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.22.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.14.mlp.down_proj.weight": "model-00001-of-00002.safetensors", "model.layers.22.mlp.down_proj.weight": "model-00001-of-00002.safetensors", "model.layers.14.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", "model.layers.22.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", "model.layers.14.mlp.up_proj.weight": "model-00001-of-00002.safetensors", "model.layers.22.mlp.up_proj.weight": "model-00001-of-00002.safetensors", "model.layers.14.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.22.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.14.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.22.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.14.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.22.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.14.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.22.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.14.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.22.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.15.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.23.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.15.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.23.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "lm_head.weight": "model-00001-of-00002.safetensors", "model.layers.44.mlp.down_proj.weight": "model-00001-of-00002.safetensors", "model.layers.44.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.45.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.45.mlp.down_proj.weight": "model-00001-of-00002.safetensors", "model.layers.45.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", "model.layers.45.mlp.up_proj.weight": "model-00001-of-00002.safetensors", "model.layers.45.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.45.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.45.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.45.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.45.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.46.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.46.mlp.down_proj.weight": "model-00001-of-00002.safetensors", "model.layers.46.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", "model.layers.46.mlp.up_proj.weight": "model-00001-of-00002.safetensors", "model.layers.46.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.46.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.46.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.46.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.46.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.47.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.47.mlp.down_proj.weight": "model-00001-of-00002.safetensors", "model.layers.47.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", "model.layers.47.mlp.up_proj.weight": "model-00001-of-00002.safetensors", "model.layers.47.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.47.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.47.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.47.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.47.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.48.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.48.mlp.down_proj.weight": "model-00001-of-00002.safetensors", "model.layers.48.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", "model.layers.48.mlp.up_proj.weight": "model-00001-of-00002.safetensors", "model.layers.48.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.48.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.48.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.48.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.48.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.49.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.49.mlp.down_proj.weight": "model-00001-of-00002.safetensors", "model.layers.49.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", "model.layers.49.mlp.up_proj.weight": "model-00001-of-00002.safetensors", "model.layers.49.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.49.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.49.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.49.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.49.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.50.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.50.mlp.down_proj.weight": "model-00001-of-00002.safetensors", "model.layers.50.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", "model.layers.50.mlp.up_proj.weight": "model-00001-of-00002.safetensors", "model.layers.50.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.50.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.50.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.50.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.50.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.51.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.51.mlp.down_proj.weight": "model-00001-of-00002.safetensors", "model.layers.51.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", "model.layers.51.mlp.up_proj.weight": "model-00001-of-00002.safetensors", "model.layers.51.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.51.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.51.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.51.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.51.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.52.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.52.mlp.down_proj.weight": "model-00001-of-00002.safetensors", "model.layers.52.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", "model.layers.52.mlp.up_proj.weight": "model-00001-of-00002.safetensors", "model.layers.52.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.52.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.52.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.52.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.52.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.53.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.53.mlp.down_proj.weight": "model-00002-of-00002.safetensors", "model.layers.53.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", "model.layers.53.mlp.up_proj.weight": "model-00002-of-00002.safetensors", "model.layers.53.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.53.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", "model.layers.53.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", "model.layers.53.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", "model.layers.53.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", "model.norm.weight": "model-00002-of-00002.safetensors", "model.layers.15.input_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.23.input_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.15.mlp.down_proj.weight": "model-00002-of-00002.safetensors", "model.layers.23.mlp.down_proj.weight": "model-00002-of-00002.safetensors", "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", "model.layers.23.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", "model.layers.15.mlp.up_proj.weight": "model-00002-of-00002.safetensors", "model.layers.23.mlp.up_proj.weight": "model-00002-of-00002.safetensors", "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.23.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", "model.layers.23.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", "model.layers.23.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", "model.layers.16.input_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.24.input_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.16.mlp.down_proj.weight": "model-00002-of-00002.safetensors", "model.layers.24.mlp.down_proj.weight": "model-00002-of-00002.safetensors", "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", "model.layers.24.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", "model.layers.16.mlp.up_proj.weight": "model-00002-of-00002.safetensors", "model.layers.24.mlp.up_proj.weight": "model-00002-of-00002.safetensors", "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.24.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", "model.layers.24.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", "model.layers.24.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", "model.layers.24.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", "model.layers.24.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", "model.layers.17.input_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.25.input_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.17.mlp.down_proj.weight": "model-00002-of-00002.safetensors", "model.layers.25.mlp.down_proj.weight": "model-00002-of-00002.safetensors", "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", "model.layers.25.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", "model.layers.17.mlp.up_proj.weight": "model-00002-of-00002.safetensors", "model.layers.25.mlp.up_proj.weight": "model-00002-of-00002.safetensors", "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.25.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", "model.layers.25.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", "model.layers.25.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", "model.layers.25.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", "model.layers.25.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", "model.layers.18.input_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.26.input_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.32.input_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.18.mlp.down_proj.weight": "model-00002-of-00002.safetensors", "model.layers.26.mlp.down_proj.weight": "model-00002-of-00002.safetensors", "model.layers.32.mlp.down_proj.weight": "model-00002-of-00002.safetensors", "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", "model.layers.26.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", "model.layers.32.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", "model.layers.18.mlp.up_proj.weight": "model-00002-of-00002.safetensors", "model.layers.26.mlp.up_proj.weight": "model-00002-of-00002.safetensors", "model.layers.32.mlp.up_proj.weight": "model-00002-of-00002.safetensors", "model.layers.18.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.26.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.32.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", "model.layers.26.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", "model.layers.32.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", "model.layers.26.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", "model.layers.32.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", "model.layers.26.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", "model.layers.32.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", "model.layers.26.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", "model.layers.32.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", "model.layers.19.input_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.27.input_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.33.input_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.19.mlp.down_proj.weight": "model-00002-of-00002.safetensors", "model.layers.27.mlp.down_proj.weight": "model-00002-of-00002.safetensors", "model.layers.33.mlp.down_proj.weight": "model-00002-of-00002.safetensors", "model.layers.19.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", "model.layers.27.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", "model.layers.33.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", "model.layers.19.mlp.up_proj.weight": "model-00002-of-00002.safetensors", "model.layers.27.mlp.up_proj.weight": "model-00002-of-00002.safetensors", "model.layers.33.mlp.up_proj.weight": "model-00002-of-00002.safetensors", "model.layers.19.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.27.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.33.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.19.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", "model.layers.27.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", "model.layers.33.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", "model.layers.19.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", "model.layers.27.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", "model.layers.33.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", "model.layers.19.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", "model.layers.27.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", "model.layers.33.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", "model.layers.19.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", "model.layers.27.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", "model.layers.33.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", "model.layers.20.input_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.28.input_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.34.input_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.20.mlp.down_proj.weight": "model-00002-of-00002.safetensors", "model.layers.28.mlp.down_proj.weight": "model-00002-of-00002.safetensors", "model.layers.34.mlp.down_proj.weight": "model-00002-of-00002.safetensors", "model.layers.20.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", "model.layers.28.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", "model.layers.34.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", "model.layers.20.mlp.up_proj.weight": "model-00002-of-00002.safetensors", "model.layers.28.mlp.up_proj.weight": "model-00002-of-00002.safetensors", "model.layers.34.mlp.up_proj.weight": "model-00002-of-00002.safetensors", "model.layers.20.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.28.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.34.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.20.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", "model.layers.28.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", "model.layers.34.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", "model.layers.20.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", "model.layers.28.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", "model.layers.34.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", "model.layers.20.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", "model.layers.28.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", "model.layers.34.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", "model.layers.20.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", "model.layers.28.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", "model.layers.34.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", "model.layers.21.input_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.29.input_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.35.input_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.21.mlp.down_proj.weight": "model-00002-of-00002.safetensors", "model.layers.29.mlp.down_proj.weight": "model-00002-of-00002.safetensors", "model.layers.35.mlp.down_proj.weight": "model-00002-of-00002.safetensors", "model.layers.21.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", "model.layers.29.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", "model.layers.35.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", "model.layers.21.mlp.up_proj.weight": "model-00002-of-00002.safetensors", "model.layers.29.mlp.up_proj.weight": "model-00002-of-00002.safetensors", "model.layers.35.mlp.up_proj.weight": "model-00002-of-00002.safetensors", "model.layers.21.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.29.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.35.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.21.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", "model.layers.29.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", "model.layers.35.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", "model.layers.21.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", "model.layers.29.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", "model.layers.35.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", "model.layers.21.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", "model.layers.29.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", "model.layers.35.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", "model.layers.21.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", "model.layers.29.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", "model.layers.35.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", "model.layers.30.input_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.36.input_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.30.mlp.down_proj.weight": "model-00002-of-00002.safetensors", "model.layers.36.mlp.down_proj.weight": "model-00002-of-00002.safetensors", "model.layers.30.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", "model.layers.36.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", "model.layers.30.mlp.up_proj.weight": "model-00002-of-00002.safetensors", "model.layers.36.mlp.up_proj.weight": "model-00002-of-00002.safetensors", "model.layers.30.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.36.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.30.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", "model.layers.36.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", "model.layers.30.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", "model.layers.36.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", "model.layers.30.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", "model.layers.36.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", "model.layers.30.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", "model.layers.36.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", "model.layers.31.input_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.37.input_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.31.mlp.down_proj.weight": "model-00002-of-00002.safetensors", "model.layers.37.mlp.down_proj.weight": "model-00002-of-00002.safetensors", "model.layers.31.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", "model.layers.37.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", "model.layers.31.mlp.up_proj.weight": "model-00002-of-00002.safetensors", "model.layers.37.mlp.up_proj.weight": "model-00002-of-00002.safetensors", "model.layers.31.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.37.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.31.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", "model.layers.37.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", "model.layers.31.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", "model.layers.37.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", "model.layers.31.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", "model.layers.37.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", "model.layers.31.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", "model.layers.37.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", "model.layers.38.input_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.38.mlp.down_proj.weight": "model-00002-of-00002.safetensors", "model.layers.38.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", "model.layers.38.mlp.up_proj.weight": "model-00002-of-00002.safetensors", "model.layers.38.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.38.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", "model.layers.38.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", "model.layers.38.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", "model.layers.38.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", "model.layers.39.input_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.39.mlp.down_proj.weight": "model-00002-of-00002.safetensors", "model.layers.39.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", "model.layers.39.mlp.up_proj.weight": "model-00002-of-00002.safetensors", "model.layers.39.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.39.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", "model.layers.39.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", "model.layers.39.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", "model.layers.39.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", "model.layers.40.input_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.40.mlp.down_proj.weight": "model-00002-of-00002.safetensors", "model.layers.40.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", "model.layers.40.mlp.up_proj.weight": "model-00002-of-00002.safetensors", "model.layers.40.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.40.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", "model.layers.40.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", "model.layers.40.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", "model.layers.40.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", "model.layers.41.input_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.41.mlp.down_proj.weight": "model-00002-of-00002.safetensors", "model.layers.41.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", "model.layers.41.mlp.up_proj.weight": "model-00002-of-00002.safetensors", "model.layers.41.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.41.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", "model.layers.41.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", "model.layers.41.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", "model.layers.41.self_attn.v_proj.weight": "model-00002-of-00002.safetensors"}}

special_tokens_map.json

@@ -0,0 +1,23 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
+size 499723

tokenizer_config.json

@@ -0,0 +1,39 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": null,
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}