Update tiny models for LagunaForCausalLM
Browse files- chat_template.jinja +132 -0
- config.json +62 -0
- generation_config.json +10 -0
- model.safetensors +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +15 -0
chat_template.jinja
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{#- Iteration on laguna_glm_thinking_v5/chat_template.jinja -#}
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{#- Adds a default system message (used when no system message is provided in `messages`). -#}
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{{- "〈|EOS|〉" -}}
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{%- set enable_thinking = enable_thinking | default(false) -%}
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{%- set render_assistant_messages_raw = render_assistant_messages_raw | default(false) -%}
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{%- set add_generation_prompt = add_generation_prompt | default(false) -%}
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{#- ───── header (system message) ───── -#}
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{%- set system_message = "You are a helpful, conversationally-fluent assistant made by Poolside. You are here to be helpful to users through natural language conversations." -%}
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{%- if messages and messages[0].role == "system" -%}
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{%- set system_message = messages[0].content -%}
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{%- endif -%}
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{%- if (system_message and system_message.strip()) or tools -%}
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{{- "<system>\n" -}}
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{%- if system_message and system_message.strip() -%}
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{{- "\n" -}}
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{{- system_message.rstrip() -}}
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{%- endif -%}
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{%- if tools -%}
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{{- "\n\n### Tools\n\n" -}}
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{%- set ns = namespace(tool_string="You may call functions to assist with the user query.\n"
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~ "All available function signatures are listed below:\n"
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~ "<available_tools>\n") -%}
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{%- for tool in tools -%}
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{%- set ns.tool_string = ns.tool_string ~ (tool | tojson) ~ "\n" -%}
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{%- endfor -%}
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{%- if enable_thinking -%}
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{%- set tool_string = ns.tool_string + "</available_tools>\n\n" ~
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"Wrap your thinking in '<think>', '</think>' tags, followed by a function call. For each function call, return an unescaped XML-like object with function name and arguments within '<tool_call>' and '</tool_call>' tags, like here:\n" ~
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"<think> your thoughts here </think>\n" ~
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"<tool_call>function-name\n<arg_key>argument-key</arg_key>\n<arg_value>value-of-argument-key</arg_value>\n" ~
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"</tool_call>" -%}
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{%- else -%}
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{%- set tool_string = ns.tool_string + "</available_tools>\n\n" ~
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"For each function call, return an unescaped XML-like object " ~
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"with function name and arguments within '<tool_call>' and '</tool_call>' tags, like here:\n" ~
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"<tool_call>function-name\n<arg_key>argument-key</arg_key>\n<arg_value>value-of-argument-key</arg_value>\n" ~
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"</tool_call>" -%}
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{%- endif -%}
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{{- tool_string -}}
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{%- endif -%}
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{{- "\n</system>\n" -}}
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{%- endif -%}
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{#- ───── main loop ───── -#}
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{%- for message in messages -%}
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{%- set content = message.content if message.content is string else "" -%}
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{%- if message.role == "user" -%}
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{{- "<user>\n" + content + "\n</user>\n" -}}
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{%- elif message.role == "assistant" -%}
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{%- generation -%}
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{{- "<assistant>\n" -}}
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{%- if render_assistant_messages_raw -%}
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{#- Raw mode: prepend the generation prompt token, then dump content verbatim. -#}
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{#- The generation prompt is <think> when enable_thinking, </think> otherwise. -#}
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{#- Only prepend if content doesn't already start with it. -#}
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{%- if enable_thinking -%}
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{%- if not content.startswith('<think>') -%}
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{{- '<think>' -}}
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{%- endif -%}
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{%- else -%}
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{%- if not content.startswith('</think>') -%}
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{{- '</think>' -}}
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{%- endif -%}
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{%- endif -%}
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{{- content -}}
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{#- Append closing tag if content doesn't already end with it. -#}
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{%- if not content.endswith('</assistant>\n') and not content.endswith('</assistant>') -%}
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{{- '\n</assistant>' -}}
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{%- endif -%}
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{{- "\n" -}}
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{%- else -%}
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{#- Extract reasoning content from message.reasoning (vLLM field name) or message.reasoning_content, or from <think> tags -#}
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{%- set reasoning_content = '' %}
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{%- if message.reasoning is string %}
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{%- set reasoning_content = message.reasoning %}
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{%- elif message.reasoning_content is string %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- endif %}
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{#- Always strip <think> tags from content if present to avoid duplication -#}
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{%- if '</think>' in content %}
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{%- if not reasoning_content %}
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{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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{%- endif %}
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{%- set content = content.split('</think>')[-1].lstrip('\n') %}
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{%- endif %}
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{#- Display reasoning content for all messages -#}
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{%- if reasoning_content -%}
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{{- '<think>\n' + reasoning_content.strip() + '\n</think>\n' -}}
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{%- else -%}
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{{- '</think>\n' -}}
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{%- endif -%}
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{#- Display main content -#}
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{%- if content.strip() -%}
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{{- content.strip() ~ "\n" -}}
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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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{%- set function_data = tool_call.function -%}
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{{- '<tool_call>' + function_data.name }}
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{% set _args = function_data.arguments %}
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{%- for k, v in _args.items() -%}
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{{- "<arg_key>" ~ k ~ "</arg_key>\n" -}}
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{{- "<arg_value>"}}{{ v | tojson(ensure_ascii=False) if v is not string else v }}{{ "</arg_value>\n" -}}
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{%- endfor -%}
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{{- "</tool_call>\n" -}}
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{%- endfor -%}
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{%- endif -%}
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{{- "</assistant>\n" -}}
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{%- endif -%}
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{%- endgeneration -%}
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{%- elif message.role == "tool" -%}
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{{- "<tool_response>\n" + content + "\n</tool_response>\n" -}}
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{%- elif message.role == "system" and loop.index0 != 0 -%}
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{#- Render additional system messages (skip the first one which is handled separately in the header) -#}
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{{- "<system>\n" + content + "\n</system>\n" -}}
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{%- endif -%}
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{%- endfor -%}
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{#- ───── generation prompt ───── -#}
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{%- if add_generation_prompt -%}
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{{- "<assistant>\n" -}}
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{#- ───── Include reasoning mode directive ───── -#}
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{%- if not enable_thinking %}
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{{- '</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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"LagunaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 2,
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"dtype": "float32",
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"eos_token_id": 2,
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"gating": true,
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"head_dim": 8,
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"hidden_act": "gelu",
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"hidden_size": 32,
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"initializer_range": 0.02,
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"intermediate_size": 32,
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"is_decoder": true,
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"layer_types": [
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"full_attention",
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"sliding_attention"
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],
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"max_position_embeddings": 512,
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"mlp_layer_types": [
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"dense",
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"sparse"
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],
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"model_type": "laguna",
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"moe_apply_router_weight_on_input": false,
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"moe_intermediate_size": 16,
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"moe_routed_scaling_factor": 1.0,
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"moe_router_logit_softcapping": 0.0,
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"num_attention_heads": 2,
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"num_attention_heads_per_layer": [
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2,
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2
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],
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"num_experts": 8,
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"num_experts_per_tok": 2,
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"num_hidden_layers": 2,
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"num_key_value_heads": 2,
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"output_router_logits": false,
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"pad_token_id": 9,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"full_attention": {
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"partial_rotary_factor": 0.5,
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"rope_theta": 500000.0,
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"rope_type": "default"
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},
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"sliding_attention": {
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"partial_rotary_factor": 1.0,
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"rope_theta": 10000.0,
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"rope_type": "default"
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}
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},
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"router_aux_loss_coef": 0.001,
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"shared_expert_intermediate_size": 16,
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"sliding_window": 32,
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"tie_word_embeddings": false,
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"transformers_version": "5.16.0.dev0",
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"use_cache": true,
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"vocab_size": 100352
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 2,
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"eos_token_id": 2,
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"output_attentions": false,
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"output_hidden_states": false,
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"pad_token_id": 9,
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"transformers_version": "5.16.0.dev0",
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"use_cache": true
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:26c3bfd1f43771ae1dd37424c22e0441eef886d90c0a321d0bbceb065eb7862d
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size 25782280
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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{
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"backend": "tokenizers",
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"bos_token": "〈|EOS|〉",
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"clean_up_tokenization_spaces": false,
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"cls_token": "〈|CLS|〉",
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"eos_token": "〈|EOS|〉",
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"is_local": true,
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"local_files_only": false,
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"mask_token": "〈|MASK|〉",
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"model_max_length": 512,
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"pad_token": "〈|PAD|〉",
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"sep_token": "〈|SEP|〉",
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"tokenizer_class": "TokenizersBackend",
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"unk_token": "〈|UNK|〉"
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}
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