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kernelpool
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GLM-5.2-8bit

Text Generation
MLX
Safetensors
English
Chinese
glm_moe_dsa
conversational
8-bit precision
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  1. README.md +39 -0
  2. chat_template.jinja +119 -0
  3. config.json +233 -0
  4. generation_config.json +12 -0
  5. model-00002-of-00226.safetensors +3 -0
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  49. model.safetensors.index.json +0 -0
  50. tokenizer_config.json +34 -0
README.md ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ language:
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+ - en
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+ - zh
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+ library_name: mlx
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+ license: mit
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+ pipeline_tag: text-generation
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+ tags:
9
+ - mlx
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+ base_model: zai-org/GLM-5.2
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+ ---
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+
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+ # kernelpool/GLM-5.2-8bit
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+
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+ This model [kernelpool/GLM-5.2-8bit](https://huggingface.co/kernelpool/GLM-5.2-8bit) was
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+ converted to MLX format from [zai-org/GLM-5.2](https://huggingface.co/zai-org/GLM-5.2)
17
+ using mlx-lm version **0.31.3**.
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+
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+ ## Use with mlx
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+
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+ ```bash
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+ pip install mlx-lm
23
+ ```
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+
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+ ```python
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+ from mlx_lm import load, generate
27
+
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+ model, tokenizer = load("kernelpool/GLM-5.2-8bit")
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+
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+ prompt = "hello"
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+
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+ if tokenizer.chat_template is not None:
33
+ messages = [{"role": "user", "content": prompt}]
34
+ prompt = tokenizer.apply_chat_template(
35
+ messages, add_generation_prompt=True, return_dict=False,
36
+ )
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+
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+ response = generate(model, tokenizer, prompt=prompt, verbose=True)
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+ ```
chat_template.jinja ADDED
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1
+ [gMASK]<sop>
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+ {%- set effective_reasoning_effort = 'high' if reasoning_effort is defined and reasoning_effort == 'high' else 'max' -%}
3
+ {%- if (enable_thinking is not defined or enable_thinking) and effective_reasoning_effort is not none -%}<|system|>Reasoning Effort: {{ effective_reasoning_effort | capitalize }}{%- endif -%}
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+ {%- if tools -%}
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+ {%- macro tool_to_json(tool) -%}
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+ {%- set ns_tool = namespace(first=true) -%}
7
+ {{ '{' -}}
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+ {%- for k, v in tool.items() -%}
9
+ {%- if k != 'defer_loading' and k != 'strict' -%}
10
+ {%- if not ns_tool.first -%}{{- ', ' -}}{%- endif -%}
11
+ {%- set ns_tool.first = false -%}
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+ "{{ k }}": {{ v | tojson(ensure_ascii=False) }}
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+ {%- endif -%}
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+ {%- endfor -%}
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+ {{- '}' -}}
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+ {%- endmacro -%}
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+ <|system|>
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+ # Tools
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+
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+ You may call one or more functions to assist with the user query.
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+
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+ You are provided with function signatures within <tools></tools> XML tags:
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+ <tools>
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+ {% for tool in tools %}
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+ {%- if 'function' in tool -%}
26
+ {%- set tool = tool['function'] -%}
27
+ {%- endif -%}
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+ {% if tool.defer_loading is not defined or not tool.defer_loading %}
29
+ {{ tool_to_json(tool) }}
30
+ {% endif %}
31
+ {% endfor %}
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+ </tools>
33
+
34
+ For each function call, output the function name and arguments within the following XML format:
35
+ <tool_call>{function-name}<arg_key>{arg-key-1}</arg_key><arg_value>{arg-value-1}</arg_value><arg_key>{arg-key-2}</arg_key><arg_value>{arg-value-2}</arg_value>...</tool_call>{%- endif -%}
36
+ {%- macro visible_text(content) -%}
37
+ {%- if content is string -%}
38
+ {{- content }}
39
+ {%- elif content is iterable and content is not mapping -%}
40
+ {%- for item in content -%}
41
+ {%- if item is mapping and item.type == 'text' -%}
42
+ {{- item.text }}
43
+ {%- elif item is string -%}
44
+ {{- item }}
45
+ {%- elif item is mapping and item.type in ['image', 'image_url', 'video', 'video_url', 'audio', 'audio_url', 'input_audio'] -%}
46
+ {%- set media_type = item.type | replace('_url', '') | replace('input_', '') -%}
47
+ {{- "<reminder>You are unable to process this " ~ media_type ~ " because you don't have multi-modal input ability. Try different methods.</reminder>" }}
48
+ {%- endif -%}
49
+ {%- endfor -%}
50
+ {%- else -%}
51
+ {{- content }}
52
+ {%- endif -%}
53
+ {%- endmacro -%}
54
+ {%- set ns = namespace(last_user_index=-1) -%}
55
+ {%- for m in messages %}
56
+ {%- if m.role == 'user' %}
57
+ {%- set ns.last_user_index = loop.index0 -%}
58
+ {%- endif %}
59
+ {%- endfor %}
60
+ {%- for m in messages -%}
61
+ {%- if m.role == 'user' -%}<|user|>{{ visible_text(m.content) }}
62
+ {%- elif m.role == 'assistant' -%}
63
+ <|assistant|>
64
+ {%- set content = visible_text(m.content) %}
65
+ {%- if m.reasoning_content is string %}
66
+ {%- set reasoning_content = m.reasoning_content %}
67
+ {%- elif '</think>' in content %}
68
+ {%- set reasoning_content = content.split('</think>')[0].split('<think>')[-1] %}
69
+ {%- set content = content.split('</think>')[-1] %}
70
+ {%- endif %}
71
+ {%- if ((clear_thinking is defined and not clear_thinking) or loop.index0 > ns.last_user_index) and reasoning_content is defined -%}
72
+ {{ '<think>' + reasoning_content + '</think>'}}
73
+ {%- else -%}
74
+ {{ '<think></think>' }}
75
+ {%- endif -%}
76
+ {%- if content.strip() -%}
77
+ {{ content.strip() }}
78
+ {%- endif -%}
79
+ {% if m.tool_calls %}
80
+ {% for tc in m.tool_calls %}
81
+ {%- if tc.function %}
82
+ {%- set tc = tc.function %}
83
+ {%- endif %}
84
+ {{- '<tool_call>' + tc.name -}}
85
+ {% set _args = tc.arguments %}{% for k, v in _args.items() %}<arg_key>{{ k }}</arg_key><arg_value>{{ v | tojson(ensure_ascii=False) if v is not string else v }}</arg_value>{% endfor %}</tool_call>{% endfor %}
86
+ {% endif %}
87
+ {%- elif m.role == 'tool' -%}
88
+ {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
89
+ {{- '<|observation|>' -}}
90
+ {%- endif %}
91
+ {%- if m.content is string -%}
92
+ {{- '<tool_response>' + m.content + '</tool_response>' -}}
93
+ {%- elif m.content is iterable and m.content is not mapping and m.content and m.content.0.type == "tool_reference" -%}
94
+ {{- '<tool_response><tools>\n' -}}
95
+ {% for tr in m.content %}
96
+ {%- for tool in tools -%}
97
+ {%- if 'function' in tool -%}
98
+ {%- set tool = tool['function'] -%}
99
+ {%- endif -%}
100
+ {%- if tool.name == tr.name -%}
101
+ {{- tool_to_json(tool) + '\n' -}}
102
+ {%- endif -%}
103
+ {%- endfor -%}
104
+ {%- endfor -%}
105
+ {{- '</tools></tool_response>' -}}
106
+ {%- elif m.content is iterable and m.content is not mapping and m.content and m.content.0 is mapping and m.content.0.output is defined -%}
107
+ {%- for tr in m.content -%}
108
+ {{- '<tool_response>' + tr.output + '</tool_response>' -}}
109
+ {%- endfor -%}
110
+ {%- else -%}
111
+ {{- '<tool_response>' + visible_text(m.content) + '</tool_response>' -}}
112
+ {% endif -%}
113
+ {%- elif m.role == 'system' -%}
114
+ <|system|>{{ visible_text(m.content) }}
115
+ {%- endif -%}
116
+ {%- endfor -%}
117
+ {%- if add_generation_prompt -%}
118
+ <|assistant|>{{- '<think></think>' if (enable_thinking is defined and not enable_thinking) else '<think>' -}}
119
+ {%- endif -%}
config.json ADDED
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+ {
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+ "architectures": [
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+ "GlmMoeDsaForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "dtype": "bfloat16",
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+ "eos_token_id": [
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+ "ep_size": 1,
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+ "first_k_dense_replace": 3,
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+ "head_dim": 192,
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+ "hidden_act": "silu",
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+ "hidden_size": 6144,
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+ "index_head_dim": 128,
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+ "index_n_heads": 32,
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+ "index_share_for_mtp_iteration": true,
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+ "index_skip_topk_offset": 3,
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+ "index_topk": 2048,
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+ "index_topk_freq": 4,
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+ "index_topk_pattern": null,
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+ "indexer_rope_interleave": true,
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+ "indexer_types": [
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+ "full",
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+ "full",
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+ "full",
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+ "shared",
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+ "shared",
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+ "shared",
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+ "full",
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+ ],
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+ "initializer_range": 0.02,
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+ "intermediate_size": 12288,
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+ "kv_lora_rank": 512,
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+ "max_position_embeddings": 1048576,
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+ "mlp_layer_types": [
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+ "dense",
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+ "dense",
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+ "dense",
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+ "sparse",
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+ "sparse",
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+ "sparse",
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+ ],
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+ "model_type": "glm_moe_dsa",
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+ "moe_intermediate_size": 2048,
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+ "moe_layer_freq": 1,
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+ "n_group": 1,
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+ "n_routed_experts": 256,
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+ "n_shared_experts": 1,
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+ "norm_topk_prob": true,
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+ "num_attention_heads": 64,
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+ "num_experts_per_tok": 8,
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+ "num_hidden_layers": 78,
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+ "num_key_value_heads": 64,
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+ "num_nextn_predict_layers": 1,
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+ "pad_token_id": 154820,
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+ "pretraining_tp": 1,
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+ "q_lora_rank": 2048,
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+ "qk_head_dim": 256,
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+ "qk_nope_head_dim": 192,
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+ "qk_rope_head_dim": 64,
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+ "quantization": {
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+ "group_size": 64,
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+ "bits": 8,
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+ "mode": "affine"
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+ "quantization_config": {
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+ "bits": 8,
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+ "mode": "affine"
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+ "rms_norm_eps": 1e-05,
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+ "rope_interleave": true,
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+ "rope_parameters": {
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+ "rope_theta": 8000000,
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+ "rope_type": "default"
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+ },
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+ "routed_scaling_factor": 2.5,
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+ "scoring_func": "sigmoid",
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+ "tie_word_embeddings": false,
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+ "topk_group": 1,
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+ "topk_method": "noaux_tc",
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+ "transformers_version": "5.12.0",
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+ "use_cache": true,
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+ "v_head_dim": 256,
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+ "vocab_size": 154880
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+ }
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+ "transformers_version": "5.12.0"
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+ }
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