Clean repository before upload
Browse files- .gitattributes +0 -36
- adapter_config.json +0 -51
- adapter_model.safetensors +0 -3
- chat_template.jinja +0 -112
- config.json +0 -58
- generation_config.json +0 -7
- model.safetensors +0 -3
- special_tokens_map.json +0 -44
- tokenizer.json +0 -3
- tokenizer_config.json +0 -209
.gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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adapter_config.json
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{
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"alora_invocation_tokens": null,
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"alpha_pattern": {
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".*\\.gate_up_proj": 256
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"arrow_config": null,
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"auto_mapping": null,
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"bias": "none",
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"corda_config": null,
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"ensure_weight_tying": false,
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 128,
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"lora_bias": false,
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"lora_dropout": 0.0,
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"lora_ga_config": null,
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"megatron_core": "megatron.core",
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"peft_type": "LORA",
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"peft_version": "0.19.1",
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"r": 64,
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"target_modules": [
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"kv_a_proj_with_mqa",
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"o_proj",
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"kv_b_proj",
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"q_proj"
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],
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"target_parameters": [
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"gate_up_proj",
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"down_proj"
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],
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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"use_bdlora": null,
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"use_dora": false,
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"use_qalora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:cfb328732e96891eb7af56fb0267736111b9f18a16386cf30e97637eb51ac6e6
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size 5729906896
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chat_template.jinja
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{%- macro render_content(msg) -%}
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{%- set c = msg.get('content') -%}
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{%- if c is string -%}
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{{ c }}
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{%- elif c is not none -%}
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{% for content in c -%}
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{% if content['type'] == 'image' or content['type'] == 'image_url' -%}
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<|media_begin|>image<|media_content|><|media_pad|><|media_end|>
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{% elif content['type'] == 'video' or content['type']== 'video_url'-%}
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<|kimi_k25_video_placeholder|>
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{% else -%}
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{{ content['text'] }}
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{%- endif -%}
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{%- endfor -%}
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{%- endif -%}
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{%- endmacro -%}
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{% macro set_roles(message) -%}
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{%- set role_name = message.get('name') or message['role'] -%}
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{%- if message['role'] == 'user' -%}
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<|im_user|>{{role_name}}<|im_middle|>
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{%- elif message['role'] == 'assistant' -%}
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<|im_assistant|>{{role_name}}<|im_middle|>
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{%- else -%}
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<|im_system|>{{role_name}}<|im_middle|>
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{%- endif -%}
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{%- endmacro -%}
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{%- macro render_toolcalls(message) -%}
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<|tool_calls_section_begin|>
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{%- for tool_call in message['tool_calls'] -%}
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{%- set formatted_id = tool_call['id'] -%}
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<|tool_call_begin|>{{ formatted_id }}<|tool_call_argument_begin|>{% if tool_call['function']['arguments'] is string %}{{ tool_call['function']['arguments'] }}{% else %}{{ tool_call['function']['arguments'] | tojson }}{% endif %}<|tool_call_end|>
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{%- endfor -%}
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<|tool_calls_section_end|>
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{%- endmacro -%}
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{%- set preserve_thinking = preserve_thinking | default(false) -%}
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{# Find last non-tool-call assistant message. If preserve_thinking, keep -1 so hist is empty and all msgs use suffix (retain reasoning). #}
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{%- set ns = namespace(last_non_tool_call_assistant_msg=-1) -%}
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{%- if not preserve_thinking -%}
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{%- for idx in range(messages|length-1, -1, -1) -%}
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{%- if messages[idx]['role'] == 'assistant' and not messages[idx].get('tool_calls') -%}
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{%- set ns.last_non_tool_call_assistant_msg = idx -%}
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{%- break -%}
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{%- endif -%}
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{%- endfor -%}
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{%- endif -%}
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{# split all messages into history & suffix, reasoning_content in suffix should be reserved.#}
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{%- set hist_msgs = messages[:ns.last_non_tool_call_assistant_msg+1] -%}
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{%- set suffix_msgs = messages[ns.last_non_tool_call_assistant_msg+1:] -%}
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{%- if tools -%}
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{%- if tools_ts_str -%}
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<|im_system|>tool_declare<|im_middle|>{{ tools_ts_str }}<|im_end|>
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{%- else -%}
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<|im_system|>tool_declare<|im_middle|>{{ tools | tojson(separators=(',', ':')) }}<|im_end|>
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{%- endif -%}
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{%- endif -%}
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{%- for message in hist_msgs -%}
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{{set_roles(message)}}
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{%- if message['role'] == 'assistant' -%}
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<think></think>{{render_content(message)}}
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{%- if message.get('tool_calls') -%}
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{{render_toolcalls(message)}}
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{%- endif -%}
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{%- elif message['role'] == 'tool' -%}
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{%- set tool_call_id = message.tool_call_id -%}
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## Return of {{ tool_call_id }}
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{{render_content(message)}}
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{%- elif message['content'] is not none -%}
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{{render_content(message)}}
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{%- endif -%}
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<|im_end|>
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{%- endfor -%}
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{%- for message in suffix_msgs -%}
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{{set_roles(message)}}
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{%- if message['role'] == 'assistant' -%}
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{%- if thinking is defined and thinking is false and preserve_thinking is false -%}
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<think></think>{{render_content(message)}}
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{%- else -%}
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{%- set rc = message.get('reasoning', message.get('reasoning_content', '')) -%}
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<think>{{rc}}</think>{{render_content(message)}}
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{%- endif -%}
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{%- if message.get('tool_calls') -%}
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{{render_toolcalls(message)}}
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{%- endif -%}
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{%- elif message['role'] == 'tool' -%}
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{%- set tool_call_id = message.tool_call_id -%}
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## Return of {{ tool_call_id }}
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{{render_content(message)}}
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{%- elif message['content'] is not none -%}
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{{render_content(message)}}
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{%- endif -%}
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<|im_end|>
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{%- endfor -%}
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-
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{%- if add_generation_prompt -%}
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<|im_assistant|>assistant<|im_middle|>
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{%- if thinking is defined and thinking is false -%}
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<think></think>
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{%- else -%}
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<think>
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{%- endif -%}
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{%- endif -%}
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config.json
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{
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"architectures": [
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"DeepseekV3ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"aux_loss_alpha": 0.001,
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"bos_token_id": 163584,
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"dtype": "bfloat16",
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"eos_token_id": 163585,
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"ep_size": 1,
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"first_k_dense_replace": 1,
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"head_dim": 64,
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"hidden_act": "silu",
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 11264,
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"kv_lora_rank": 512,
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| 19 |
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"max_position_embeddings": 131072,
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| 20 |
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"model_type": "deepseek_v3",
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"moe_intermediate_size": 1408,
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"moe_layer_freq": 1,
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"n_group": 1,
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"n_routed_experts": 64,
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"n_shared_experts": 2,
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"norm_topk_prob": true,
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"num_attention_heads": 16,
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"num_experts_per_tok": 6,
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"num_hidden_layers": 27,
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"num_key_value_heads": 16,
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"num_local_experts": 64,
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"num_nextn_predict_layers": 1,
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"num_shared_experts": 2,
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"pad_token_id": 163839,
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"pretraining_tp": 1,
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"q_lora_rank": null,
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"qk_head_dim": 192,
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"qk_nope_head_dim": 128,
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| 39 |
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"qk_rope_head_dim": 64,
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"rms_norm_eps": 1e-05,
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"rope_interleave": true,
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| 42 |
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"rope_parameters": {
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"rope_theta": 800000.0,
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"rope_type": "default"
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},
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"routed_scaling_factor": 2.446,
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| 49 |
-
"scoring_func": "sigmoid",
|
| 50 |
-
"seq_aux": true,
|
| 51 |
-
"tie_word_embeddings": false,
|
| 52 |
-
"topk_group": 1,
|
| 53 |
-
"topk_method": "noaux_tc",
|
| 54 |
-
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|
| 55 |
-
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|
| 56 |
-
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|
| 57 |
-
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|
| 58 |
-
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generation_config.json
DELETED
|
@@ -1,7 +0,0 @@
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| 1 |
-
{
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| 2 |
-
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|
| 3 |
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| 7 |
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model.safetensors
DELETED
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@@ -1,3 +0,0 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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special_tokens_map.json
DELETED
|
@@ -1,44 +0,0 @@
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| 1 |
-
{
|
| 2 |
-
"additional_special_tokens": [
|
| 3 |
-
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| 4 |
-
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|
| 5 |
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| 11 |
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| 14 |
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| 22 |
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| 24 |
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| 25 |
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| 29 |
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| 36 |
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| 39 |
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| 42 |
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| 43 |
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| 44 |
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tokenizer.json
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
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| 2 |
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tokenizer_config.json
DELETED
|
@@ -1,209 +0,0 @@
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|
| 1 |
-
{
|
| 2 |
-
"added_tokens_decoder": {
|
| 3 |
-
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|
| 4 |
-
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|
| 5 |
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|
| 6 |
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| 7 |
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| 8 |
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| 9 |
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|
| 10 |
-
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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|
| 15 |
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|
| 16 |
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| 17 |
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|
| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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|
| 28 |
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| 29 |
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| 30 |
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|
| 31 |
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| 32 |
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|
| 33 |
-
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|
| 34 |
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|
| 35 |
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| 36 |
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|
| 37 |
-
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|
| 38 |
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| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
-
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|
| 43 |
-
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|
| 44 |
-
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|
| 45 |
-
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|
| 46 |
-
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|
| 47 |
-
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|
| 48 |
-
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|
| 49 |
-
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|
| 50 |
-
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|
| 51 |
-
"163591": {
|
| 52 |
-
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|
| 53 |
-
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|
| 54 |
-
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|
| 55 |
-
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|
| 56 |
-
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|
| 57 |
-
"special": true
|
| 58 |
-
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|
| 59 |
-
"163593": {
|
| 60 |
-
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|
| 61 |
-
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|
| 62 |
-
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|
| 63 |
-
"rstrip": false,
|
| 64 |
-
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|
| 65 |
-
"special": true
|
| 66 |
-
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|
| 67 |
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|
| 68 |
-
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|
| 69 |
-
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|
| 70 |
-
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|
| 71 |
-
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|
| 72 |
-
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|
| 73 |
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|
| 74 |
-
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|
| 75 |
-
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|
| 76 |
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|
| 77 |
-
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|
| 78 |
-
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|
| 79 |
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|
| 80 |
-
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|
| 81 |
-
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|
| 82 |
-
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|
| 83 |
-
"163596": {
|
| 84 |
-
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|
| 85 |
-
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|
| 86 |
-
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|
| 87 |
-
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|
| 88 |
-
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|
| 89 |
-
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|
| 90 |
-
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|
| 91 |
-
"163597": {
|
| 92 |
-
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|
| 93 |
-
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|
| 94 |
-
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|
| 95 |
-
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|
| 96 |
-
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|
| 97 |
-
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|
| 98 |
-
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|
| 99 |
-
"163598": {
|
| 100 |
-
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|
| 101 |
-
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|
| 102 |
-
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|
| 103 |
-
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|
| 104 |
-
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|
| 105 |
-
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|
| 106 |
-
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| 107 |
-
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|
| 108 |
-
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|
| 109 |
-
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|
| 110 |
-
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|
| 111 |
-
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|
| 112 |
-
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|
| 113 |
-
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|
| 114 |
-
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|
| 115 |
-
"163601": {
|
| 116 |
-
"content": "<|im_middle|>",
|
| 117 |
-
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|
| 118 |
-
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|
| 119 |
-
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|
| 120 |
-
"single_word": false,
|
| 121 |
-
"special": true
|
| 122 |
-
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|
| 123 |
-
"163602": {
|
| 124 |
-
"content": "<|media_begin|>",
|
| 125 |
-
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|
| 126 |
-
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|
| 127 |
-
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|
| 128 |
-
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|
| 129 |
-
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|
| 130 |
-
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|
| 131 |
-
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|
| 132 |
-
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|
| 133 |
-
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|
| 134 |
-
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|
| 135 |
-
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|
| 136 |
-
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|
| 137 |
-
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|
| 138 |
-
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| 139 |
-
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|
| 140 |
-
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|
| 141 |
-
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|
| 142 |
-
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|
| 143 |
-
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|
| 144 |
-
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|
| 145 |
-
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|
| 146 |
-
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| 147 |
-
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|
| 148 |
-
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|
| 149 |
-
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|
| 150 |
-
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|
| 151 |
-
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|
| 152 |
-
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|
| 153 |
-
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|
| 154 |
-
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| 155 |
-
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|
| 156 |
-
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|
| 157 |
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|
| 158 |
-
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|
| 159 |
-
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|
| 160 |
-
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|
| 161 |
-
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|
| 162 |
-
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|
| 163 |
-
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|
| 164 |
-
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|
| 165 |
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|
| 166 |
-
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|
| 167 |
-
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|
| 168 |
-
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|
| 169 |
-
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|
| 170 |
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| 171 |
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|
| 172 |
-
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|
| 173 |
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|
| 174 |
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|
| 175 |
-
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|
| 176 |
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|
| 177 |
-
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|
| 178 |
-
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|
| 179 |
-
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|
| 180 |
-
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|
| 181 |
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|
| 182 |
-
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|
| 183 |
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| 184 |
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|
| 185 |
-
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|
| 186 |
-
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|
| 187 |
-
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| 188 |
-
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|
| 189 |
-
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|
| 190 |
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|
| 191 |
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|
| 192 |
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| 193 |
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| 194 |
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|
| 195 |
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|
| 196 |
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|
| 197 |
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|
| 198 |
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|
| 199 |
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|
| 200 |
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|
| 201 |
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|
| 202 |
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|
| 203 |
-
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|
| 204 |
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|
| 205 |
-
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|
| 206 |
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| 207 |
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|
| 208 |
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|
| 209 |
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