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(Trained with Unsloth)

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
chat_template.jinja ADDED
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+ {%- if tools %}
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+ {{- '<|im_start|>system\n' }}
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+ {%- if messages[0].role == 'system' %}
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+ {{- messages[0].content + '\n\n' }}
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+ {%- endif %}
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+ {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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+ {%- for tool in tools %}
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+ {{- "\n" }}
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+ {{- tool | tojson }}
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+ {%- endfor %}
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+ {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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+ {%- else %}
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+ {%- if messages[0].role == 'system' %}
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+ {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
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+ {%- endif %}
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+ {%- endif %}
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+ {%- set content = message.content %}
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+ {%- set content = '' %}
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+ {%- endif %}
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+ {%- elif message.role == "assistant" %}
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+ {{- '<|im_start|>' + message.role + '\n' }}
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+ {% generation %}
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+ {%- set tool_call = tool_call.function %}
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+ {%- endif %}
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+ {{- '<tool_call>\n{"name": "' }}
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+ {{- tool_call.name }}
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+ {{- '", "arguments": ' }}
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+ {{- tool_call.arguments }}
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+ {%- else %}
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+ {{- '}\n</tool_call>' }}
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+ {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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+ {%- if add_generation_prompt %}
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+ {{- '<|im_start|>assistant\n' }}
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+ {%- endif %}
config.json ADDED
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+ {
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+ "architectures": [
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+ "AfmoeForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "auto_map": {
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+ "AutoConfig": "configuration_afmoe.AfmoeConfig",
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+ "AutoModel": "modeling_afmoe.AfmoeModel",
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+ "AutoModelForCausalLM": "modeling_afmoe.AfmoeForCausalLM"
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+ },
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+ "bos_token_id": 0,
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+ "torch_dtype": "bfloat16",
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+ "eos_token_id": 3,
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+ "global_attn_every_n_layers": 4,
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+ "head_dim": 128,
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+ "hidden_act": "silu",
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+ "hidden_size": 1024,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "layer_types": [
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+ "sliding_attention",
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+ "sliding_attention",
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+ "sliding_attention",
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+ "full_attention",
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+ "sliding_attention",
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+ "sliding_attention",
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+ "sliding_attention",
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+ "full_attention",
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+ "sliding_attention",
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+ "sliding_attention",
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+ "sliding_attention",
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+ "full_attention",
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+ "sliding_attention",
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+ "sliding_attention",
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+ "sliding_attention",
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+ "full_attention",
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+ "sliding_attention",
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+ "sliding_attention",
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+ "sliding_attention",
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+ "full_attention",
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+ "sliding_attention",
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+ "sliding_attention",
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+ "sliding_attention",
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+ "full_attention",
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+ "sliding_attention",
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+ "sliding_attention",
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+ "sliding_attention",
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+ "full_attention",
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+ "sliding_attention",
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+ "sliding_attention",
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+ "sliding_attention",
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+ "full_attention",
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+ "sliding_attention",
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+ "sliding_attention",
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+ "sliding_attention",
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+ "full_attention",
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+ "sliding_attention",
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+ "sliding_attention",
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+ "sliding_attention",
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+ "full_attention",
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+ "sliding_attention",
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+ "sliding_attention",
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+ "sliding_attention",
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+ "full_attention",
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+ "sliding_attention",
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+ "sliding_attention",
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+ "sliding_attention",
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+ "full_attention",
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+ "sliding_attention",
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+ "sliding_attention",
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+ "sliding_attention",
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+ "full_attention",
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+ "sliding_attention",
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+ "sliding_attention",
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+ "sliding_attention",
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+ "full_attention"
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+ ],
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+ "load_balance_coeff": 0.001,
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+ "max_position_embeddings": 131072,
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+ "model_type": "afmoe",
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+ "moe_intermediate_size": 256,
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+ "mup_enabled": true,
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+ "n_group": 1,
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+ "num_attention_heads": 8,
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+ "num_dense_layers": 2,
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+ "num_expert_groups": 1,
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+ "num_experts": 128,
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+ "num_experts_per_tok": 8,
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+ "num_hidden_layers": 56,
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+ "num_key_value_heads": 2,
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+ "num_limited_groups": 1,
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+ "num_shared_experts": 1,
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+ "pad_token_id": 12,
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+ "rms_norm_eps": 1e-05,
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+ "rope_scaling": null,
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+ "rope_theta": 10000,
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+ "route_norm": true,
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+ "route_scale": 2.826,
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+ "score_func": "sigmoid",
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+ "sliding_window": 2048,
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+ "tie_word_embeddings": false,
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+ "topk_group": 1,
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+ "transformers_version": "4.57.2",
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+ "unsloth_version": "2025.11.6",
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+ "use_cache": true,
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+ "use_grouped_mm": true,
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+ "vocab_size": 200192
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+ }
configuration_afmoe.py ADDED
@@ -0,0 +1,133 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # coding=utf-8
2
+ # Copyright 2022 EleutherAI and the HuggingFace Inc. team. 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
+ from transformers.configuration_utils import PretrainedConfig
16
+ from transformers.modeling_rope_utils import rope_config_validation
17
+ from transformers.configuration_utils import layer_type_validation
18
+ from transformers.utils import logging
19
+
20
+ logger = logging.get_logger(__name__)
21
+
22
+ class AfmoeConfig(PretrainedConfig):
23
+ """
24
+ n_group (`int`, *optional*, defaults to 1):
25
+ Number of groups for routed experts.
26
+ topk_group (`int`, *optional*, defaults to 1):
27
+ Number of selected groups for each token(for each token, ensuring the selected experts is only within `topk_group` groups).
28
+ """
29
+ model_type = "afmoe"
30
+ base_model_pp_plan = {
31
+ "embed_tokens": (["input_ids"], ["inputs_embeds"]),
32
+ "layers": (["hidden_states", "attention_mask"], ["hidden_states"]),
33
+ "norm": (["hidden_states"], ["hidden_states"]),
34
+ }
35
+
36
+ def __init__(
37
+ self,
38
+ num_hidden_layers: int = 32,
39
+ vocab_size: int = 200192,
40
+ hidden_size: int = 2048,
41
+ intermediate_size: int = 6144,
42
+ moe_intermediate_size=1408,
43
+ num_dense_layers=1,
44
+ num_attention_heads=16,
45
+ num_key_value_heads=None,
46
+ head_dim=128,
47
+ hidden_act="silu",
48
+ max_position_embeddings=16384,
49
+ initializer_range=0.02,
50
+ rms_norm_eps=1e-5,
51
+ use_cache=True,
52
+ tie_word_embeddings=False,
53
+ rope_theta=10000.0,
54
+ rope_scaling=None,
55
+ num_experts=64,
56
+ num_experts_per_tok=6,
57
+ num_shared_experts=2,
58
+ num_expert_groups=1,
59
+ num_limited_groups=1,
60
+ score_func="sigmoid",
61
+ route_norm=True,
62
+ route_scale=1.0,
63
+ global_attn_every_n_layers=4,
64
+ sliding_window=1024,
65
+ mup_enabled=False,
66
+ layer_types=None,
67
+ attention_dropout: float = 0.0,
68
+ n_group: int = 1,
69
+ topk_group: int = 1,
70
+ **kwargs,
71
+ ):
72
+ self.vocab_size = vocab_size
73
+ self.max_position_embeddings = max_position_embeddings
74
+ self.hidden_size = hidden_size
75
+ self.intermediate_size = intermediate_size
76
+ self.num_hidden_layers = num_hidden_layers
77
+ self.num_dense_layers = num_dense_layers
78
+ self.num_attention_heads = num_attention_heads
79
+ self.head_dim = head_dim
80
+ self.hidden_act = hidden_act
81
+ self.initializer_range = initializer_range
82
+ self.rms_norm_eps = rms_norm_eps
83
+ self.use_cache = use_cache
84
+ self.rope_theta = rope_theta
85
+ self.rope_scaling = rope_scaling
86
+
87
+
88
+ # MoE specific
89
+ self.moe_intermediate_size = moe_intermediate_size
90
+ self.num_experts_per_tok = num_experts_per_tok
91
+ self.n_group = n_group
92
+ self.topk_group = topk_group
93
+ self.num_experts = num_experts
94
+ self.num_shared_experts = num_shared_experts
95
+ self.num_expert_groups = num_expert_groups
96
+ self.num_limited_groups = num_limited_groups
97
+ self.score_func = score_func
98
+ self.route_norm = route_norm
99
+ self.route_scale = route_scale
100
+
101
+
102
+ # Attention specific
103
+ self.attention_dropout = attention_dropout
104
+ self.global_attn_every_n_layers = global_attn_every_n_layers
105
+ self.sliding_window = sliding_window
106
+ self.layer_types = layer_types
107
+ if self.layer_types is None:
108
+ self.layer_types = [
109
+ "sliding_attention" if bool((i + 1) % global_attn_every_n_layers) else "full_attention" for i in range(self.num_hidden_layers)
110
+ ]
111
+ layer_type_validation(self.layer_types)
112
+
113
+ # muP specific
114
+ self.mup_enabled = mup_enabled
115
+
116
+ if num_key_value_heads is None:
117
+ num_key_value_heads = num_attention_heads
118
+
119
+ self.num_key_value_heads = num_key_value_heads
120
+
121
+
122
+ # Validate rope configs
123
+ if self.rope_scaling is not None and "type" in self.rope_scaling:
124
+ self.rope_scaling["rope_type"] = self.rope_scaling["type"]
125
+ rope_config_validation(self)
126
+
127
+ super().__init__(
128
+ tie_word_embeddings=tie_word_embeddings,
129
+ **kwargs,
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+ )
131
+
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+
133
+ __all__ = ["AfmoeConfig"]
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+ "single_word": false,
196
+ "special": true
197
+ },
198
+ "24": {
199
+ "content": "<|reserved_special_11|>",
200
+ "lstrip": false,
201
+ "normalized": false,
202
+ "rstrip": false,
203
+ "single_word": false,
204
+ "special": true
205
+ },
206
+ "25": {
207
+ "content": "<|reserved_special_12|>",
208
+ "lstrip": false,
209
+ "normalized": false,
210
+ "rstrip": false,
211
+ "single_word": false,
212
+ "special": true
213
+ },
214
+ "26": {
215
+ "content": "<|reserved_special_13|>",
216
+ "lstrip": false,
217
+ "normalized": false,
218
+ "rstrip": false,
219
+ "single_word": false,
220
+ "special": true
221
+ },
222
+ "27": {
223
+ "content": "<|reserved_special_14|>",
224
+ "lstrip": false,
225
+ "normalized": false,
226
+ "rstrip": false,
227
+ "single_word": false,
228
+ "special": true
229
+ },
230
+ "28": {
231
+ "content": "<|reserved_special_15|>",
232
+ "lstrip": false,
233
+ "normalized": false,
234
+ "rstrip": false,
235
+ "single_word": false,
236
+ "special": true
237
+ },
238
+ "29": {
239
+ "content": "<|reserved_special_16|>",
240
+ "lstrip": false,
241
+ "normalized": false,
242
+ "rstrip": false,
243
+ "single_word": false,
244
+ "special": true
245
+ },
246
+ "30": {
247
+ "content": "<|reserved_special_17|>",
248
+ "lstrip": false,
249
+ "normalized": false,
250
+ "rstrip": false,
251
+ "single_word": false,
252
+ "special": true
253
+ },
254
+ "31": {
255
+ "content": "<|reserved_special_18|>",
256
+ "lstrip": false,
257
+ "normalized": false,
258
+ "rstrip": false,
259
+ "single_word": false,
260
+ "special": true
261
+ }
262
+ },
263
+ "bos_token": "<|begin_of_text|>",
264
+ "clean_up_tokenization_spaces": false,
265
+ "eos_token": "<|im_end|>",
266
+ "extra_special_tokens": {},
267
+ "model_max_length": 65536,
268
+ "pad_token": "<|pad|>",
269
+ "padding_side": "left",
270
+ "tokenizer_class": "PreTrainedTokenizerFast",
271
+ "use_default_system_prompt": false,
272
+ "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if message.content is string %}\n {%- set content = message.content %}\n {%- else %}\n {%- set content = '' %}\n {%- endif %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role + '\\n' }}\n {% generation %}\n {{- content}}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>' }}\n {% endgeneration%}\n {{- '\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}"
273
+ }