apandacoding commited on 21 days ago

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chat_template.jinja +80 -0
config.json +356 -0
configuration_step3p5.py +59 -0
generation_config.json +10 -0
hf_quant_config.json +15 -0
model-00001-of-00126.safetensors +3 -0
model-00002-of-00126.safetensors +3 -0
model-00003-of-00126.safetensors +3 -0
model-00004-of-00126.safetensors +3 -0
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model-00006-of-00126.safetensors +3 -0
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chat_template.jinja ADDED Viewed

	@@ -0,0 +1,80 @@

+{% macro render_content(content) %}{% if content is none %}{{- '' }}{% elif content is string %}{{- content }}{% elif content is mapping %}{{- content['value'] if 'value' in content else content['text'] }}{% elif content is iterable %}{% for item in content %}{% if item.type == 'text' %}{{- item['value'] if 'value' in item else item['text'] }}{% elif item.type == 'image' %}<im_patch>{% endif %}{% endfor %}{% endif %}{% endmacro %}
+{{bos_token}}{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- render_content(messages[0].content) + '\n\n' }}
+    {%- endif %}
+    {{- "# Tools\n\nYou have access to the following functions in JSONSchema format:\n\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson(ensure_ascii=False) }}
+    {%- 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=...>\n...\n</function> block must be nested within <tool_call>\n...\n</tool_call> XML tags\n- Required parameters MUST be specified\n</IMPORTANT><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' + render_content(messages[0].content) + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == "user" and render_content(message.content) is string and not(render_content(message.content).startswith('<tool_response>') and render_content(message.content).endswith('</tool_response>')) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- set content = render_content(message.content) %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {%- set role_name = 'observation' if (message.role == "system" and not loop.first and message.name == 'observation') else message.role %}
+        {{- '<|im_start|>' + role_name + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_content = render_content(message.reasoning_content) %}
+        {%- else %}
+            {%- if '</think>' in content %}
+                {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+                {%- set content = content.split('</think>')[-1].lstrip('\n') %}
+            {%- else %}
+                {%- set reasoning_content = '' %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n' + content }}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if tool_call.function is defined %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                {%- if tool_call.arguments is defined %}
+                    {%- set arguments = tool_call.arguments %}
+                    {%- for args_name, args_value in arguments|items %}
+                        {{- '<parameter=' + args_name + '>\n' }}
+                        {%- set args_value = args_value | tojson(ensure_ascii=False) | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
+                        {{- args_value }}
+                        {{- '\n</parameter>\n' }}
+                    {%- endfor %}
+                {%- endif %}
+                {{- '</function>\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>tool_response\n' }}
+        {%- endif %}
+        {{- '<tool_response>' }}
+        {{- content }}
+        {{- '</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n<think>\n' }}
+{%- endif %}

config.json ADDED Viewed

	@@ -0,0 +1,356 @@

+{
+    "architectures": [
+        "Step3p5ForCausalLM"
+    ],
+    "att_impl_type": "GQA",
+    "attention_other_setting": {
+        "attention_type": "sliding_attention",
+        "head_dim": 128,
+        "num_attention_groups": 8,
+        "num_attention_heads": 96,
+        "true_head_dim": 128
+    },
+    "auto_map": {
+        "AutoConfig": "configuration_step3p5.Step3p5Config",
+        "AutoModelForCausalLM": "modeling_step3p5.Step3p5ForCausalLM"
+    },
+    "bos_token_id": 0,
+    "dtype": "bfloat16",
+    "eos_token_id": [
+        1,
+        2,
+        128007
+    ],
+    "head_dim": 128,
+    "hidden_size": 4096,
+    "intermediate_size": 11264,
+    "layer_types": [
+        "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"
+    ],
+    "max_position_embeddings": 262144,
+    "max_seq_len": 262144,
+    "model_type": "step3p5",
+    "moe_every_n_layer": 1,
+    "moe_intermediate_size": 1280,
+    "moe_layer_offset": 0,
+    "moe_layers_enum": "3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44",
+    "moe_num_experts": 288,
+    "moe_router_activation": "sigmoid",
+    "moe_router_scaling_factor": 3.0,
+    "moe_top_k": 8,
+    "need_fp32_gate": true,
+    "norm_expert_weight": true,
+    "num_attention_groups": 8,
+    "num_attention_heads": 64,
+    "num_hidden_layers": 45,
+    "num_nextn_predict_layers": 3,
+    "partial_rotary_factor": 0.5,
+    "partial_rotary_factors": [
+        0.5,
+        1.0,
+        1.0,
+        1.0,
+        0.5,
+        1.0,
+        1.0,
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+        0.5,
+        1.0,
+        1.0,
+        1.0
+    ],
+    "rms_norm_eps": 1e-05,
+    "rope_parameters": {
+        "factor": 2.0,
+        "high_freq_factor": 32.0,
+        "low_freq_factor": 1.0,
+        "original_max_position_embeddings": 131072,
+        "rope_type": "llama3"
+    },
+    "rope_scaling": {
+        "factor": 2.0,
+        "high_freq_factor": 32.0,
+        "low_freq_factor": 1.0,
+        "original_max_position_embeddings": 131072,
+        "rope_type": "llama3"
+    },
+    "rope_theta": [
+        5000000.0,
+        10000.0,
+        10000.0,
+        10000.0,
+        5000000.0,
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+        10000.0,
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+        10000.0,
+        5000000.0,
+        10000.0,
+        10000.0,
+        10000.0
+    ],
+    "share_expert_dim": 1280,
+    "sink": false,
+    "sliding_window": 512,
+    "swiglu_limits": [
+        0.0,
+        0.0,
+        0.0,
+        0.0,
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+    "swiglu_limits_shared": [
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+        16,
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+    ],
+    "transformers_version": "4.57.6",
+    "use_cache": false,
+    "use_head_wise_attn_gate": true,
+    "use_moe": true,
+    "use_moe_router_bias": true,
+    "use_qk_norm": true,
+    "use_rope_layers": [],
+    "vocab_size": 128896,
+    "yarn_only_types": [
+        "full_attention"
+    ],
+    "zero_centered": true,
+    "quantization_config": {
+        "config_groups": {
+            "group_0": {
+                "input_activations": {
+                    "dynamic": false,
+                    "num_bits": 4,
+                    "type": "float",
+                    "group_size": 16
+                },
+                "weights": {
+                    "dynamic": false,
+                    "num_bits": 4,
+                    "type": "float",
+                    "group_size": 16
+                },
+                "targets": [
+                    "Linear"
+                ]
+            }
+        },
+        "ignore": [
+            "lm_head",
+            "*.moe.gate*"
+        ],
+        "quant_algo": "NVFP4",
+        "producer": {
+            "name": "modelopt",
+            "version": "0.41.0"
+        },
+        "quant_method": "modelopt"
+    }
+}

configuration_step3p5.py ADDED Viewed

	@@ -0,0 +1,59 @@

+from typing import Any, Optional, Union
+from transformers.configuration_utils import PretrainedConfig
+class Step3p5Config(PretrainedConfig):
+    model_type = "step3p5"
+    architectures = ["Step3p5ForCausalLM"]
+    def __init__(
+        self,
+        hidden_size: int = 4096,
+        intermediate_size: int = 11264,
+        num_attention_heads: int = 64,
+        num_attention_groups: int = 8,
+        num_hidden_layers: int = 45,
+        max_seq_len: int = 128000,
+        vocab_size: int = 128815,
+        rms_norm_eps: float = 1e-5,
+        moe_intermediate_size: int = 1280,
+        moe_num_experts: int = 288,
+        moe_top_k: int = 8,
+        rope_theta: float = 10000,
+        rope_scaling: Optional[dict[str, Any]] = None,
+        max_position_embeddings: int = 128000,
+        share_expert_dims: int = 1280,
+        head_dim: int = 128,
+        norm_expert_weight: bool = True,
+        layer_types: list[str] = None,
+        sliding_window: Optional[int] = None,
+        moe_layers_enum: tuple[int] = (3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,
+                                       15, 16, 17, 18, 19, 20, 21, 22, 23, 24,
+                                       25, 26, 27, 28, 29, 30, 31, 32, 33, 34,
+                                       35, 36, 37, 38, 39, 40, 41, 42, 43, 44),
+        **kwargs,
+    ) -> None:
+        self.hidden_size = hidden_size
+        self.intermediate_size = intermediate_size
+        self.num_attention_heads = num_attention_heads
+        self.num_attention_groups = num_attention_groups
+        self.num_hidden_layers = num_hidden_layers
+        self.max_seq_len = max_seq_len
+        self.vocab_size = vocab_size
+        self.rms_norm_eps = rms_norm_eps
+        self.moe_intermediate_size = moe_intermediate_size
+        self.moe_num_experts = moe_num_experts
+        self.moe_top_k = moe_top_k
+        self.rope_theta = rope_theta
+        self.rope_scaling = rope_scaling
+        self.max_position_embeddings = max_position_embeddings
+        self.share_expert_dim = share_expert_dims
+        self.head_dim = head_dim
+        self.norm_expert_weight = norm_expert_weight
+        self.moe_layers_enum = moe_layers_enum
+        self.layer_types = layer_types
+        self.sliding_window = sliding_window
+        super().__init__(**kwargs)

generation_config.json ADDED Viewed

	@@ -0,0 +1,10 @@

+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": [
+    1,
+    2,
+    128007
+  ],
+  "transformers_version": "4.57.6"
+}

hf_quant_config.json ADDED Viewed

	@@ -0,0 +1,15 @@

+{
+    "producer": {
+        "name": "modelopt",
+        "version": "0.41.0"
+    },
+    "quantization": {
+        "quant_algo": "NVFP4",
+        "kv_cache_quant_algo": null,
+        "group_size": 16,
+        "exclude_modules": [
+            "lm_head",
+            "*.moe.gate*"
+        ]
+    }
+}

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