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- chat_template.jinja +80 -0
- config.json +289 -0
- model-00001.safetensors +3 -0
- model-00002.safetensors +3 -0
- model-00003.safetensors +3 -0
- model-00004.safetensors +3 -0
- model-00005.safetensors +3 -0
- model-00006.safetensors +3 -0
- model-00007.safetensors +3 -0
- model-00008.safetensors +3 -0
- model-00009.safetensors +3 -0
- model-00010.safetensors +3 -0
- model-00011.safetensors +3 -0
- model-00012.safetensors +3 -0
- model-00013.safetensors +3 -0
- model-00014.safetensors +3 -0
- model-00015.safetensors +3 -0
- model-00016.safetensors +3 -0
- model-00017.safetensors +3 -0
- model-00018.safetensors +3 -0
- model-00019.safetensors +3 -0
- model-00020.safetensors +3 -0
- model-00021.safetensors +3 -0
- model-00022.safetensors +3 -0
- model-00023.safetensors +3 -0
- model-00024.safetensors +3 -0
- model-00025.safetensors +3 -0
- model-00026.safetensors +3 -0
- model-00027.safetensors +3 -0
- model-00028.safetensors +3 -0
- model-00030.safetensors +3 -0
- model-00031.safetensors +3 -0
- model-00032.safetensors +3 -0
- model-00033.safetensors +3 -0
- model-00034.safetensors +3 -0
- model-00035.safetensors +3 -0
- model-00036.safetensors +3 -0
- model-00037.safetensors +3 -0
- model-00038.safetensors +3 -0
- model-00039.safetensors +3 -0
- model-00040.safetensors +3 -0
- model-00041.safetensors +3 -0
- model-00042.safetensors +3 -0
- model-00043.safetensors +3 -0
- model-00044.safetensors +3 -0
- model.safetensors.index.json +777 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer_config.json +0 -0
.done
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chat_template.jinja
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| 1 |
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{% 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 %}
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{{bos_token}}{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{{- render_content(messages[0].content) + '\n\n' }}
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{%- endif %}
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{{- "# Tools\n\nYou have access to the following functions in JSONSchema format:\n\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson(ensure_ascii=False) }}
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{%- endfor %}
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{{- "\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" }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' + render_content(messages[0].content) + '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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{%- for message in messages[::-1] %}
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{%- set index = (messages|length - 1) - loop.index0 %}
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{%- 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>')) %}
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{%- set ns.multi_step_tool = false %}
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{%- set ns.last_query_index = index %}
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{%- endif %}
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{%- endfor %}
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{%- for message in messages %}
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| 27 |
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{%- set content = render_content(message.content) %}
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| 28 |
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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| 29 |
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{%- set role_name = 'observation' if (message.role == "system" and not loop.first and message.name == 'observation') else message.role %}
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| 30 |
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{{- '<|im_start|>' + role_name + '\n' + content + '<|im_end|>' + '\n' }}
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| 31 |
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{%- elif message.role == "assistant" %}
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{%- if message.reasoning_content is string %}
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{%- set reasoning_content = render_content(message.reasoning_content) %}
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{%- else %}
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{%- if '</think>' in content %}
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| 36 |
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{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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| 37 |
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{%- set content = content.split('</think>')[-1].lstrip('\n') %}
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| 38 |
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{%- else %}
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{%- set reasoning_content = '' %}
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| 40 |
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{%- endif %}
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| 41 |
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{%- endif %}
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| 42 |
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{%- if loop.index0 > ns.last_query_index %}
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| 43 |
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n' + content }}
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{%- else %}
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| 45 |
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{{- '<|im_start|>' + message.role + '\n' + content }}
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| 46 |
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{%- endif %}
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| 47 |
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{%- if message.tool_calls %}
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| 48 |
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{%- for tool_call in message.tool_calls %}
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| 49 |
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{%- if tool_call.function is defined %}
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| 50 |
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{%- set tool_call = tool_call.function %}
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| 51 |
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{%- endif %}
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| 52 |
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{{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
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| 53 |
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{%- if tool_call.arguments is defined %}
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| 54 |
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{%- set arguments = tool_call.arguments | fromjson if tool_call.arguments is string else tool_call.arguments %}
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| 55 |
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{%- for args_name, args_value in arguments|items %}
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| 56 |
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{{- '<parameter=' + args_name + '>\n' }}
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| 57 |
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{%- 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 %}
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| 58 |
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{{- args_value }}
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| 59 |
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{{- '\n</parameter>\n' }}
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| 60 |
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{%- endfor %}
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| 61 |
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{%- endif %}
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| 62 |
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{{- '</function>\n</tool_call>' }}
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| 63 |
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{%- endfor %}
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| 64 |
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{%- endif %}
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| 65 |
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{{- '<|im_end|>\n' }}
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| 66 |
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{%- elif message.role == "tool" %}
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| 67 |
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{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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| 68 |
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{{- '<|im_start|>tool_response\n' }}
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| 69 |
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{%- endif %}
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| 70 |
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{{- '<tool_response>' }}
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| 71 |
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{{- content }}
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| 72 |
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{{- '</tool_response>' }}
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| 73 |
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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| 74 |
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{{- '<|im_end|>\n' }}
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| 75 |
+
{%- endif %}
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| 76 |
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{%- endif %}
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| 77 |
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{%- endfor %}
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| 78 |
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{%- if add_generation_prompt %}
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| 79 |
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{{- '<|im_start|>assistant\n<think>\n' }}
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| 80 |
+
{%- endif %}
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config.json
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| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Step4ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"model_type": "step4",
|
| 6 |
+
"hidden_size": 4096,
|
| 7 |
+
"intermediate_size": 11264,
|
| 8 |
+
"num_hidden_layers": 45,
|
| 9 |
+
"max_seq_len": 131072,
|
| 10 |
+
"max_position_embedding": 131072,
|
| 11 |
+
"vocab_size": 128896,
|
| 12 |
+
"torch_dtype": "bfloat16",
|
| 13 |
+
"use_qk_norm": false,
|
| 14 |
+
"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",
|
| 15 |
+
"use_mfa": false,
|
| 16 |
+
"num_attention_heads": 64,
|
| 17 |
+
"num_attention_groups": 8,
|
| 18 |
+
"num_nextn_predict_layers": 1,
|
| 19 |
+
"head_dim": 128,
|
| 20 |
+
"use_moe": true,
|
| 21 |
+
"moe_num_experts": 288,
|
| 22 |
+
"moe_top_k": 8,
|
| 23 |
+
"moe_intermediate_size": 1280,
|
| 24 |
+
"share_expert_dim": 1280,
|
| 25 |
+
"moe_layer_offset": 0,
|
| 26 |
+
"moe_every_n_layer": 1,
|
| 27 |
+
"norm_expert_weight": true,
|
| 28 |
+
"moe_router_activation": "sigmoid",
|
| 29 |
+
"moe_router_scaling_factor": 3.0,
|
| 30 |
+
"att_impl_type": "GQA",
|
| 31 |
+
"rope_theta": [
|
| 32 |
+
5000000.0,
|
| 33 |
+
10000.0,
|
| 34 |
+
10000.0,
|
| 35 |
+
10000.0,
|
| 36 |
+
5000000.0,
|
| 37 |
+
10000.0,
|
| 38 |
+
10000.0,
|
| 39 |
+
10000.0,
|
| 40 |
+
5000000.0,
|
| 41 |
+
10000.0,
|
| 42 |
+
10000.0,
|
| 43 |
+
10000.0,
|
| 44 |
+
5000000.0,
|
| 45 |
+
10000.0,
|
| 46 |
+
10000.0,
|
| 47 |
+
10000.0,
|
| 48 |
+
5000000.0,
|
| 49 |
+
10000.0,
|
| 50 |
+
10000.0,
|
| 51 |
+
10000.0,
|
| 52 |
+
5000000.0,
|
| 53 |
+
10000.0,
|
| 54 |
+
10000.0,
|
| 55 |
+
10000.0,
|
| 56 |
+
5000000.0,
|
| 57 |
+
10000.0,
|
| 58 |
+
10000.0,
|
| 59 |
+
10000.0,
|
| 60 |
+
5000000.0,
|
| 61 |
+
10000.0,
|
| 62 |
+
10000.0,
|
| 63 |
+
10000.0,
|
| 64 |
+
5000000.0,
|
| 65 |
+
10000.0,
|
| 66 |
+
10000.0,
|
| 67 |
+
10000.0,
|
| 68 |
+
5000000.0,
|
| 69 |
+
10000.0,
|
| 70 |
+
10000.0,
|
| 71 |
+
10000.0,
|
| 72 |
+
5000000.0,
|
| 73 |
+
10000.0,
|
| 74 |
+
10000.0,
|
| 75 |
+
10000.0,
|
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+
"model.layers.9.self_attn.k_norm.weight": "model-00001.safetensors",
|
| 767 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00001.safetensors",
|
| 768 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00001.safetensors",
|
| 769 |
+
"model.layers.9.self_attn.q_norm.weight": "model-00001.safetensors",
|
| 770 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00001.safetensors",
|
| 771 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00001.safetensors",
|
| 772 |
+
"model.layers.9.share_expert.down_proj.weight": "model-00001.safetensors",
|
| 773 |
+
"model.layers.9.share_expert.gate_proj.weight": "model-00001.safetensors",
|
| 774 |
+
"model.layers.9.share_expert.up_proj.weight": "model-00001.safetensors",
|
| 775 |
+
"model.norm.weight": "model-00002.safetensors"
|
| 776 |
+
}
|
| 777 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,23 @@
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|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<|begin▁of▁sentence|>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "<|im_end|>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "<|end▁of▁sentence|>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
}
|
| 23 |
+
}
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tokenizer.json
ADDED
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tokenizer_config.json
ADDED
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