(Trained with Unsloth)
Browse files- chat_template.jinja +86 -0
- config.json +64 -0
- special_tokens_map.json +17 -0
- tokenizer.json +0 -0
- tokenizer_config.json +44 -0
chat_template.jinja
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| 1 |
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{{- messages[0].content + '\n\n' }}
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{%- endif %}
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{{- "# 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>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\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" }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' + 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 message.content is string and not(message.content.startswith('<tool_response>') and 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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{%- if message.content is string %}
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{%- set content = message.content %}
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{%- else %}
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{%- set content = '' %}
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{%- endif %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{%- set reasoning_content = '' %}
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{%- if message.reasoning_content is string %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- else %}
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{%- if '</think>' in content %}
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{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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{%- set content = content.split('</think>')[-1].lstrip('\n') %}
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{%- endif %}
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{%- endif %}
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{%- if loop.index0 > ns.last_query_index %}
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{%- if reasoning_content %}
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- if message.tool_calls %}
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{%- for tool_call in message.tool_calls %}
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{%- if (loop.first and content) or (not loop.first) %}
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{{- '\n' }}
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{%- endif %}
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{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{%- if tool_call.arguments is string %}
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{{- tool_call.arguments }}
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{%- else %}
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{{- tool_call.arguments | tojson }}
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{%- endif %}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- content }}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- endif %}
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config.json
ADDED
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@@ -0,0 +1,64 @@
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{
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"architectures": [
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"DeepseekV2ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"auto_map": {
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"AutoConfig": "configuration_deepseek.DeepseekV2Config",
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"AutoModel": "modeling_deepseek.DeepseekV2Model",
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"AutoModelForCausalLM": "modeling_deepseek.DeepseekV2ForCausalLM"
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},
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"aux_loss_alpha": 0.001,
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"bos_token_id": 100000,
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"torch_dtype": "bfloat16",
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"eos_token_id": 100001,
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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": 10944,
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"kv_lora_rank": 512,
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"max_position_embeddings": 163840,
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"mlp_bias": false,
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"model_type": "deepseek_v2",
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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": false,
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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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"pad_token_id": 100002,
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"pretraining_tp": 1,
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"q_lora_rank": null,
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"qk_nope_head_dim": 128,
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| 40 |
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"qk_rope_head_dim": 64,
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"rms_norm_eps": 1e-06,
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"rope_scaling": {
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"beta_fast": 32,
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"beta_slow": 1,
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"factor": 40,
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"mscale": 0.707,
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"mscale_all_dim": 0.707,
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| 48 |
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"original_max_position_embeddings": 4096,
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| 49 |
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"rope_type": "yarn",
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"type": "yarn"
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},
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"rope_theta": 10000,
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"routed_scaling_factor": 1.0,
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"scoring_func": "softmax",
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"seq_aux": true,
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| 56 |
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"tie_word_embeddings": false,
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| 57 |
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"topk_group": 1,
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"topk_method": "greedy",
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"transformers_version": "4.57.3",
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"unsloth_version": "2025.11.4",
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"use_cache": true,
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| 62 |
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"v_head_dim": 128,
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"vocab_size": 102400
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}
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special_tokens_map.json
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@@ -0,0 +1,17 @@
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{
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"bos_token": {
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"content": "<|begin▁of▁sentence|>",
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"lstrip": false,
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| 5 |
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"normalized": true,
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| 6 |
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"rstrip": false,
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| 7 |
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"single_word": false
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| 8 |
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},
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| 9 |
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"eos_token": {
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"content": "<|end▁of▁sentence|>",
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"lstrip": false,
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| 12 |
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"normalized": true,
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| 13 |
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"rstrip": false,
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| 14 |
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"single_word": false
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},
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"pad_token": "<|PAD_TOKEN|>"
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}
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tokenizer.json
ADDED
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tokenizer_config.json
ADDED
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@@ -0,0 +1,44 @@
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{
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"add_bos_token": true,
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"add_eos_token": false,
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| 4 |
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"add_prefix_space": null,
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| 5 |
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"added_tokens_decoder": {
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"100000": {
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"content": "<|begin▁of▁sentence|>",
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| 8 |
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"lstrip": false,
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| 9 |
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"normalized": true,
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| 10 |
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"rstrip": false,
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| 11 |
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"single_word": false,
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| 12 |
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"special": true
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},
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"100001": {
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"content": "<|end▁of▁sentence|>",
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| 16 |
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"lstrip": false,
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| 17 |
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"normalized": true,
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| 18 |
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"rstrip": false,
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| 19 |
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"single_word": false,
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| 20 |
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"special": true
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| 21 |
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},
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| 22 |
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"100002": {
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| 23 |
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"content": "<|PAD_TOKEN|>",
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"lstrip": false,
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| 25 |
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"normalized": false,
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| 26 |
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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| 30 |
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},
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| 31 |
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"bos_token": "<|begin▁of▁sentence|>",
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| 32 |
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"clean_up_tokenization_spaces": false,
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| 33 |
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"eos_token": "<|end▁of▁sentence|>",
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| 34 |
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"extra_special_tokens": {},
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| 35 |
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"legacy": true,
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| 36 |
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"model_max_length": 16384,
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| 37 |
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"pad_token": "<|PAD_TOKEN|>",
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| 38 |
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"padding_side": "left",
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| 39 |
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"sp_model_kwargs": {},
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| 40 |
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"tokenizer_class": "LlamaTokenizerFast",
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| 41 |
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"unk_token": null,
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| 42 |
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"use_default_system_prompt": false,
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| 43 |
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"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\n {{- \"# 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>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\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\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- 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>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if message.content is string %}\n {%- set content = message.content %}\n {%- else %}\n {%- set content = '' %}\n {%- endif %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is string %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in content %}\n {%- set reasoning_content = content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if reasoning_content %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}"
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| 44 |
+
}
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