Trinity-Large-Thinking pruned to 216/256 experts (15.6%% pruned) via REAP

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

chat_template.jinja

@@ -0,0 +1,159 @@
+<|begin_of_text|>{%- macro render_extra_keys(json_dict, handled_keys) -%}
+    {%- if json_dict is mapping %}
+        {%- for json_key in json_dict if json_key not in handled_keys %}
+            {%- if json_dict[json_key] is mapping or (json_dict[json_key] is sequence and json_dict[json_key] is not string) %}
+                {{- '\n<' ~ json_key ~ '>' ~ (json_dict[json_key] | tojson | safe) ~ '</' ~ json_key ~ '>' }}
+            {%- else %}
+                {{- '\n<' ~ json_key ~ '>' ~ (json_dict[json_key] | string) ~ '</' ~ json_key ~ '>' }}
+            {%- endif %}
+        {%- endfor %}
+    {%- endif %}
+{%- endmacro -%}
+
+{%- macro render_tool_call(raw_tool_call) -%}
+    {%- if raw_tool_call.function is defined and raw_tool_call.function is mapping %}
+        {%- set tool_call = raw_tool_call.function %}
+    {%- else %}
+        {%- set tool_call = raw_tool_call %}
+    {%- endif %}
+    {{- '<tool_call>\n<function=' + (tool_call.name | default('') | string) + '>\n' }}
+    {%- if tool_call.arguments is defined and tool_call.arguments is mapping %}
+        {%- for args_name, args_value in tool_call.arguments.items() %}
+            {{- '<parameter=' + (args_name | string) + '>\n' }}
+            {%- if args_value is mapping or (args_value is sequence and args_value is not string) %}
+                {{- args_value | tojson | safe }}
+            {%- else %}
+                {{- args_value | string }}
+            {%- endif %}
+            {{- '\n</parameter>\n' }}
+        {%- endfor %}
+    {%- endif %}
+    {{- '</function>\n</tool_call>' }}
+{%- endmacro -%}
+
+{%- set system_message = none %}
+{%- if messages and messages[0]["role"] == "system" %}
+    {%- set system_message = messages[0]["content"] %}
+    {%- set loop_messages = messages[1:] %}
+{%- else %}
+    {%- set loop_messages = messages %}
+{%- endif %}
+
+{%- if not tools is defined %}
+    {%- set tools = [] %}
+{%- endif %}
+{%- set has_tools = tools is iterable and tools is not string and tools | length > 0 %}
+
+{%- if system_message is not none or has_tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if system_message is not none %}
+        {{- system_message }}
+    {%- else %}
+        {{- "You are Trinity Large, a helpful assistant developed by Arcee AI, that can interact with a computer to solve tasks." }}
+    {%- endif %}
+    {%- if has_tools %}
+        {{- "\n\n# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
+        {%- for tool in tools %}
+            {%- if tool.function is defined and tool.function is mapping %}
+                {%- set tool = tool.function %}
+            {%- endif %}
+            {{- '\n<function>\n<name>' ~ (tool.name | default('') | string) ~ '</name>' }}
+            {%- if tool.description is defined and tool.description is not none %}
+                {{- '\n<description>' ~ (tool.description | string | trim) ~ '</description>' }}
+            {%- endif %}
+            {{- '\n<parameters>' }}
+            {%- if tool.parameters is defined and tool.parameters is mapping and tool.parameters.properties is defined and tool.parameters.properties is mapping %}
+                {%- for param_name, param_fields in tool.parameters.properties.items() %}
+                    {{- '\n<parameter>\n<name>' ~ (param_name | string) ~ '</name>' }}
+                    {%- if param_fields is mapping and param_fields.type is defined and param_fields.type is not none %}
+                        {{- '\n<type>' ~ (param_fields.type | string) ~ '</type>' }}
+                    {%- endif %}
+                    {%- if param_fields is mapping and param_fields.description is defined and param_fields.description is not none %}
+                        {{- '\n<description>' ~ (param_fields.description | string | trim) ~ '</description>' }}
+                    {%- endif %}
+                    {%- if param_fields is mapping %}
+                        {%- set handled_keys = ['name', 'type', 'description'] %}
+                        {{- render_extra_keys(param_fields, handled_keys) }}
+                    {%- endif %}
+                    {{- '\n</parameter>' }}
+                {%- endfor %}
+            {%- endif %}
+            {%- if tool.parameters is defined %}
+                {%- set handled_keys = ['type', 'properties'] %}
+                {{- render_extra_keys(tool.parameters, handled_keys) }}
+            {%- endif %}
+            {{- '\n</parameters>' }}
+            {%- set handled_keys = ['type', 'name', 'description', 'parameters'] %}
+            {{- render_extra_keys(tool, handled_keys) }}
+            {{- '\n</function>' }}
+        {%- endfor %}
+        {{- "\n</tools>" }}
+        {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
+    {%- endif %}
+    {{- '<|im_end|>\n' }}
+{%- endif %}
+
+{%- for message in loop_messages %}
+    {%- set role = message.role | default('') %}
+    {%- if role == "assistant" %}
+        {%- set content_str = '' if message.content is none else (message.content | string) %}
+        {%- set trimmed_content = content_str | trim %}
+
+        {%- set has_reasoning_content = message.reasoning_content is defined %}
+        {%- set has_reasoning = has_reasoning_content or (message.reasoning is defined) %}
+
+        {%- if has_reasoning_content %}
+            {%- set reasoning_value = message.reasoning_content %}
+        {%- elif message.reasoning is defined %}
+            {%- set reasoning_value = message.reasoning %}
+        {%- else %}
+            {%- set reasoning_value = none %}
+        {%- endif %}
+
+        {%- set has_tool_calls = message.tool_calls is defined and message.tool_calls is iterable and message.tool_calls is not string and message.tool_calls | length > 0 %}
+
+        {{- '<|im_start|>assistant\n' }}
+        {%- if has_reasoning %}
+            {%- if reasoning_value %}
+                {{- '<think>' + (reasoning_value | string | trim) + '</think>' }}
+            {%- else %}
+                {{- '<think></think>' }}
+            {%- endif %}
+            {%- if trimmed_content %}
+                {{- '\n' + trimmed_content }}
+            {%- endif %}
+        {%- elif has_tool_calls %}
+            {%- if trimmed_content %}
+                {{- trimmed_content }}
+            {%- endif %}
+        {%- else %}
+            {{- content_str }}
+        {%- endif %}
+
+        {%- if has_tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- set separator = '\n' if ((loop.first and (has_reasoning or trimmed_content)) or (not loop.first)) else '' -%}
+                {{- separator + render_tool_call(tool_call) }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif role == "tool" or role == "observation" or role == "function" %}
+        {%- if loop.first or loop.previtem.role not in ["tool", "observation", "function"] %}
+            {{- '<|im_start|>user\n' }}
+        {%- endif %}
+        {{- '<tool_response>\n' }}
+        {{- '' if message.content is none else (message.content | string) }}
+        {{- '\n</tool_response>\n' }}
+        {%- if loop.last or loop.nextitem.role not in ["tool", "observation", "function"] %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- else %}
+        {{- '<|im_start|>' + (role | string) }}
+        {{- '\n' + ('' if message.content is none else (message.content | string)) }}
+        {{- '<|im_end|>\n' }}
+    {%- endif %}
+{%- endfor %}
+
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n<think>' }}
+{%- endif %}

config.json

@@ -0,0 +1,108 @@
+{
+  "architectures": [
+    "AfmoeForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "auto_map": {
+    "AutoConfig": "configuration_afmoe.AfmoeConfig",
+    "AutoModel": "modeling_afmoe.AfmoeModel",
+    "AutoModelForCausalLM": "modeling_afmoe.AfmoeForCausalLM"
+  },
+  "dtype": "bfloat16",
+  "global_attn_every_n_layers": 4,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 3072,
+  "initializer_range": 0.02,
+  "intermediate_size": 12288,
+  "layer_types": [
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention"
+  ],
+  "load_balance_coeff": 5e-05,
+  "max_position_embeddings": 262144,
+  "model_type": "afmoe",
+  "moe_intermediate_size": 3072,
+  "mup_enabled": true,
+  "n_group": 1,
+  "num_attention_heads": 48,
+  "num_dense_layers": 6,
+  "num_expert_groups": 1,
+  "num_experts": 216,
+  "num_experts_per_tok": 4,
+  "num_hidden_layers": 60,
+  "num_key_value_heads": 8,
+  "num_limited_groups": 1,
+  "num_shared_experts": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000,
+  "route_norm": true,
+  "route_scale": 2.448,
+  "score_func": "sigmoid",
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "topk_group": 1,
+  "transformers_version": "4.57.1",
+  "use_cache": true,
+  "use_grouped_mm": true,
+  "vocab_size": 200192
+}

configuration_afmoe.py

@@ -0,0 +1,133 @@
+# coding=utf-8
+# Copyright 2022 EleutherAI and the HuggingFace Inc. team. All rights reserved.
+#
+# 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.
+from transformers.configuration_utils import PretrainedConfig
+from transformers.modeling_rope_utils import rope_config_validation
+from transformers.configuration_utils import layer_type_validation
+from transformers.utils import logging
+
+logger = logging.get_logger(__name__)
+
+class AfmoeConfig(PretrainedConfig):
+    """
+    n_group (`int`, *optional*, defaults to 1):
+            Number of groups for routed experts.
+    topk_group (`int`, *optional*, defaults to 1):
+        Number of selected groups for each token(for each token, ensuring the selected experts is only within `topk_group` groups).
+    """
+    model_type = "afmoe"
+    base_model_pp_plan = {
+        "embed_tokens": (["input_ids"], ["inputs_embeds"]),
+        "layers": (["hidden_states", "attention_mask"], ["hidden_states"]),
+        "norm": (["hidden_states"], ["hidden_states"]),
+    }
+
+    def __init__(
+        self,
+        num_hidden_layers: int = 32,
+        vocab_size: int = 200192,
+        hidden_size: int = 2048,
+        intermediate_size: int = 6144,
+        moe_intermediate_size=1408,
+        num_dense_layers=1,
+        num_attention_heads=16,
+        num_key_value_heads=None,
+        head_dim=128,
+        hidden_act="silu",
+        max_position_embeddings=16384,
+        initializer_range=0.02,
+        rms_norm_eps=1e-5,
+        use_cache=True,
+        tie_word_embeddings=False,
+        rope_theta=10000.0,
+        rope_scaling=None,
+        num_experts=64,
+        num_experts_per_tok=6,
+        num_shared_experts=2,
+        num_expert_groups=1,
+        num_limited_groups=1,
+        score_func="sigmoid",
+        route_norm=True,
+        route_scale=1.0,
+        global_attn_every_n_layers=4,
+        sliding_window=1024,
+        mup_enabled=False,
+        layer_types=None,
+        attention_dropout: float = 0.0,
+        n_group: int = 1,
+        topk_group: int = 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_dense_layers = num_dense_layers
+        self.num_attention_heads = num_attention_heads
+        self.head_dim = head_dim
+        self.hidden_act = hidden_act
+        self.initializer_range = initializer_range
+        self.rms_norm_eps = rms_norm_eps
+        self.use_cache = use_cache
+        self.rope_theta = rope_theta
+        self.rope_scaling = rope_scaling
+
+
+        # MoE specific
+        self.moe_intermediate_size = moe_intermediate_size
+        self.num_experts_per_tok = num_experts_per_tok
+        self.n_group = n_group
+        self.topk_group = topk_group
+        self.num_experts = num_experts
+        self.num_shared_experts = num_shared_experts
+        self.num_expert_groups = num_expert_groups
+        self.num_limited_groups = num_limited_groups
+        self.score_func = score_func
+        self.route_norm = route_norm
+        self.route_scale = route_scale
+
+
+        # Attention specific
+        self.attention_dropout = attention_dropout
+        self.global_attn_every_n_layers = global_attn_every_n_layers
+        self.sliding_window = sliding_window
+        self.layer_types = layer_types
+        if self.layer_types is None:
+            self.layer_types = [
+                "sliding_attention" if bool((i + 1) % global_attn_every_n_layers) else "full_attention" for i in range(self.num_hidden_layers)
+            ]
+        layer_type_validation(self.layer_types)
+
+        # muP specific
+        self.mup_enabled = mup_enabled
+
+        if num_key_value_heads is None:
+            num_key_value_heads = num_attention_heads
+
+        self.num_key_value_heads = num_key_value_heads
+
+
+        # Validate rope configs
+        if self.rope_scaling is not None and "type" in self.rope_scaling:
+            self.rope_scaling["rope_type"] = self.rope_scaling["type"]
+        rope_config_validation(self)
+
+        super().__init__(
+            tie_word_embeddings=tie_word_embeddings,
+            **kwargs,
+        )
+
+
+__all__ = ["AfmoeConfig"]

generation_config.json

@@ -0,0 +1,9 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 3,
+  "pad_token_id": 12,
+  "transformers_version": "4.57.3",
+  "temperature": 0.8,
+  "top_p": 0.8
+}

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