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Model: top-50000/testing-2
Source: Original Platform

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz 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

README.md

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+---
+base_model: []
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# merged_4b
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using ./evolve_storage/input_models/Qwen3-4B_131373129 as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* ./evolve_storage/input_models/4b_1_2932744254
+* ./evolve_storage/input_models/4b_2_935817604
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+base_model: ./evolve_storage/input_models/Qwen3-4B_131373129
+dtype: bfloat16
+merge_method: ties
+parameters:
+  int8_mask: 1.0
+  normalize: 1.0
+slices:
+- sources:
+  - layer_range: [0, 6]
+    model: ./evolve_storage/input_models/4b_1_2932744254
+    parameters:
+      density:
+      - filter: mlp
+        value: 1.0
+      - filter: self_attn
+        value: 1.0
+      - value: 0.8608594704318231
+      weight:
+      - filter: mlp
+        value: 0.3490062747244206
+      - filter: self_attn
+        value: 0.09060462688545917
+      - value: 0.7576223803340598
+  - layer_range: [0, 6]
+    model: ./evolve_storage/input_models/4b_2_935817604
+    parameters:
+      density:
+      - filter: mlp
+        value: 0.9307034739117228
+      - filter: self_attn
+        value: 0.7266676131372826
+      - value: 0.7992834608507406
+      weight:
+      - filter: mlp
+        value: 0.02382702396781508
+      - filter: self_attn
+        value: 0.19373265930727943
+      - value: 0.5095495553391711
+  - layer_range: [0, 6]
+    model: ./evolve_storage/input_models/Qwen3-4B_131373129
+- sources:
+  - layer_range: [6, 12]
+    model: ./evolve_storage/input_models/4b_1_2932744254
+    parameters:
+      density:
+      - filter: mlp
+        value: 1.0
+      - filter: self_attn
+        value: 0.9956934876179888
+      - value: 1.0
+      weight:
+      - filter: mlp
+        value: 0.7637369917121993
+      - filter: self_attn
+        value: 0.7579899664980693
+      - value: 0.369874736821347
+  - layer_range: [6, 12]
+    model: ./evolve_storage/input_models/4b_2_935817604
+    parameters:
+      density:
+      - filter: mlp
+        value: 1.0
+      - filter: self_attn
+        value: 0.7931662945197395
+      - value: 1.0
+      weight:
+      - filter: mlp
+        value: 0.05065405710236617
+      - filter: self_attn
+        value: 0.1681017405390699
+      - value: 0.278174377018312
+  - layer_range: [6, 12]
+    model: ./evolve_storage/input_models/Qwen3-4B_131373129
+- sources:
+  - layer_range: [12, 18]
+    model: ./evolve_storage/input_models/4b_1_2932744254
+    parameters:
+      density:
+      - filter: mlp
+        value: 1.0
+      - filter: self_attn
+        value: 1.0
+      - value: 1.0
+      weight:
+      - filter: mlp
+        value: 0.1896079785687373
+      - filter: self_attn
+        value: 0.28109871222289246
+      - value: 0.5919682098365076
+  - layer_range: [12, 18]
+    model: ./evolve_storage/input_models/4b_2_935817604
+    parameters:
+      density:
+      - filter: mlp
+        value: 0.9657611673995403
+      - filter: self_attn
+        value: 0.7203176611210709
+      - value: 0.5429222666986293
+      weight:
+      - filter: mlp
+        value: 0.6105068874861986
+      - filter: self_attn
+        value: 0.35883124159464513
+      - value: 0.08904009475761779
+  - layer_range: [12, 18]
+    model: ./evolve_storage/input_models/Qwen3-4B_131373129
+- sources:
+  - layer_range: [18, 24]
+    model: ./evolve_storage/input_models/4b_1_2932744254
+    parameters:
+      density:
+      - filter: mlp
+        value: 0.9149303352862976
+      - filter: self_attn
+        value: 1.0
+      - value: 0.877602461891939
+      weight:
+      - filter: mlp
+        value: 0.4686086798952363
+      - filter: self_attn
+        value: 0.9038594427840757
+      - value: 0.10082926037736678
+  - layer_range: [18, 24]
+    model: ./evolve_storage/input_models/4b_2_935817604
+    parameters:
+      density:
+      - filter: mlp
+        value: 0.7101112464063535
+      - filter: self_attn
+        value: 0.7817731468186313
+      - value: 0.39642301784045736
+      weight:
+      - filter: mlp
+        value: 0.12881047196006434
+      - filter: self_attn
+        value: 0.5913495175648413
+      - value: 0.4608092365074321
+  - layer_range: [18, 24]
+    model: ./evolve_storage/input_models/Qwen3-4B_131373129
+- sources:
+  - layer_range: [24, 30]
+    model: ./evolve_storage/input_models/4b_1_2932744254
+    parameters:
+      density:
+      - filter: mlp
+        value: 0.5207504504970493
+      - filter: self_attn
+        value: 0.7016905835163534
+      - value: 0.7841906098086426
+      weight:
+      - filter: mlp
+        value: 0.03936529169370809
+      - filter: self_attn
+        value: 0.3540197424712478
+      - value: 0.23794897877129362
+  - layer_range: [24, 30]
+    model: ./evolve_storage/input_models/4b_2_935817604
+    parameters:
+      density:
+      - filter: mlp
+        value: 0.6658594462559264
+      - filter: self_attn
+        value: 1.0
+      - value: 0.7557856184584113
+      weight:
+      - filter: mlp
+        value: 0.5961021443524465
+      - filter: self_attn
+        value: 0.5159043688030769
+      - value: 0.7605556292871718
+  - layer_range: [24, 30]
+    model: ./evolve_storage/input_models/Qwen3-4B_131373129
+- sources:
+  - layer_range: [30, 36]
+    model: ./evolve_storage/input_models/4b_1_2932744254
+    parameters:
+      density:
+      - filter: mlp
+        value: 1.0
+      - filter: self_attn
+        value: 1.0
+      - value: 0.63120667056331
+      weight:
+      - filter: mlp
+        value: 0.15069904386157829
+      - filter: self_attn
+        value: 0.6308542464264801
+      - value: 0.4804838636683506
+  - layer_range: [30, 36]
+    model: ./evolve_storage/input_models/4b_2_935817604
+    parameters:
+      density:
+      - filter: mlp
+        value: 1.0
+      - filter: self_attn
+        value: 1.0
+      - value: 0.924178196118008
+      weight:
+      - filter: mlp
+        value: 0.5716878395339086
+      - filter: self_attn
+        value: 0.19598590068808175
+      - value: 0.8797652412255632
+  - layer_range: [30, 36]
+    model: ./evolve_storage/input_models/Qwen3-4B_131373129
+
+```

added_tokens.json

@@ -0,0 +1,28 @@
+{
+  "</think>": 151668,
+  "</tool_call>": 151658,
+  "</tool_response>": 151666,
+  "<think>": 151667,
+  "<tool_call>": 151657,
+  "<tool_response>": 151665,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

chat_template.jinja

@@ -0,0 +1,89 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# 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>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\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" }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' + 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 message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- if message.content is string %}
+        {%- set content = message.content %}
+    {%- else %}
+        {%- set content = '' %}
+    {%- endif %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_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') %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {%- if loop.last or (not loop.last and reasoning_content) %}
+                {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+            {%- else %}
+                {{- '<|im_start|>' + message.role + '\n' + content }}
+            {%- endif %}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- content }}
+        {{- '\n</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' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- endif %}
+{%- endif %}

config.json

@@ -0,0 +1,68 @@
+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 2560,
+  "initializer_range": 0.02,
+  "intermediate_size": 9728,
+  "layer_types": [
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 40960,
+  "max_window_layers": 36,
+  "model_type": "qwen3",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 36,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.55.4",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

generation_config.json

@@ -0,0 +1,13 @@
+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "temperature": 0.6,
+  "top_k": 20,
+  "top_p": 0.95,
+  "transformers_version": "4.55.4"
+}

mergekit_config.yml

@@ -0,0 +1,205 @@
+base_model: ./evolve_storage/input_models/Qwen3-4B_131373129
+dtype: bfloat16
+merge_method: ties
+parameters:
+  int8_mask: 1.0
+  normalize: 1.0
+slices:
+- sources:
+  - layer_range: [0, 6]
+    model: ./evolve_storage/input_models/4b_1_2932744254
+    parameters:
+      density:
+      - filter: mlp
+        value: 1.0
+      - filter: self_attn
+        value: 1.0
+      - value: 0.8608594704318231
+      weight:
+      - filter: mlp
+        value: 0.3490062747244206
+      - filter: self_attn
+        value: 0.09060462688545917
+      - value: 0.7576223803340598
+  - layer_range: [0, 6]
+    model: ./evolve_storage/input_models/4b_2_935817604
+    parameters:
+      density:
+      - filter: mlp
+        value: 0.9307034739117228
+      - filter: self_attn
+        value: 0.7266676131372826
+      - value: 0.7992834608507406
+      weight:
+      - filter: mlp
+        value: 0.02382702396781508
+      - filter: self_attn
+        value: 0.19373265930727943
+      - value: 0.5095495553391711
+  - layer_range: [0, 6]
+    model: ./evolve_storage/input_models/Qwen3-4B_131373129
+- sources:
+  - layer_range: [6, 12]
+    model: ./evolve_storage/input_models/4b_1_2932744254
+    parameters:
+      density:
+      - filter: mlp
+        value: 1.0
+      - filter: self_attn
+        value: 0.9956934876179888
+      - value: 1.0
+      weight:
+      - filter: mlp
+        value: 0.7637369917121993
+      - filter: self_attn
+        value: 0.7579899664980693
+      - value: 0.369874736821347
+  - layer_range: [6, 12]
+    model: ./evolve_storage/input_models/4b_2_935817604
+    parameters:
+      density:
+      - filter: mlp
+        value: 1.0
+      - filter: self_attn
+        value: 0.7931662945197395
+      - value: 1.0
+      weight:
+      - filter: mlp
+        value: 0.05065405710236617
+      - filter: self_attn
+        value: 0.1681017405390699
+      - value: 0.278174377018312
+  - layer_range: [6, 12]
+    model: ./evolve_storage/input_models/Qwen3-4B_131373129
+- sources:
+  - layer_range: [12, 18]
+    model: ./evolve_storage/input_models/4b_1_2932744254
+    parameters:
+      density:
+      - filter: mlp
+        value: 1.0
+      - filter: self_attn
+        value: 1.0
+      - value: 1.0
+      weight:
+      - filter: mlp
+        value: 0.1896079785687373
+      - filter: self_attn
+        value: 0.28109871222289246
+      - value: 0.5919682098365076
+  - layer_range: [12, 18]
+    model: ./evolve_storage/input_models/4b_2_935817604
+    parameters:
+      density:
+      - filter: mlp
+        value: 0.9657611673995403
+      - filter: self_attn
+        value: 0.7203176611210709
+      - value: 0.5429222666986293
+      weight:
+      - filter: mlp
+        value: 0.6105068874861986
+      - filter: self_attn
+        value: 0.35883124159464513
+      - value: 0.08904009475761779
+  - layer_range: [12, 18]
+    model: ./evolve_storage/input_models/Qwen3-4B_131373129
+- sources:
+  - layer_range: [18, 24]
+    model: ./evolve_storage/input_models/4b_1_2932744254
+    parameters:
+      density:
+      - filter: mlp
+        value: 0.9149303352862976
+      - filter: self_attn
+        value: 1.0
+      - value: 0.877602461891939
+      weight:
+      - filter: mlp
+        value: 0.4686086798952363
+      - filter: self_attn
+        value: 0.9038594427840757
+      - value: 0.10082926037736678
+  - layer_range: [18, 24]
+    model: ./evolve_storage/input_models/4b_2_935817604
+    parameters:
+      density:
+      - filter: mlp
+        value: 0.7101112464063535
+      - filter: self_attn
+        value: 0.7817731468186313
+      - value: 0.39642301784045736
+      weight:
+      - filter: mlp
+        value: 0.12881047196006434
+      - filter: self_attn
+        value: 0.5913495175648413
+      - value: 0.4608092365074321
+  - layer_range: [18, 24]
+    model: ./evolve_storage/input_models/Qwen3-4B_131373129
+- sources:
+  - layer_range: [24, 30]
+    model: ./evolve_storage/input_models/4b_1_2932744254
+    parameters:
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tokenizer_config.json

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