Remove stale NexaMat controller folder multimodal/controller/nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z
Browse files- multimodal/controller/nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z/README.md +0 -29
- multimodal/controller/nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z/_upload_smoke.txt +0 -1
- multimodal/controller/nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z/added_tokens.json +0 -28
- multimodal/controller/nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z/chat_template.jinja +0 -89
- multimodal/controller/nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z/checkpoint_receipt.json +0 -10
- multimodal/controller/nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z/config.json +0 -72
- multimodal/controller/nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z/controller_alignment_eval.md +0 -29
- multimodal/controller/nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z/controller_alignment_summary.json +0 -32
- multimodal/controller/nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z/generation_config.json +0 -14
- multimodal/controller/nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z/merges.txt +0 -0
- multimodal/controller/nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z/model.safetensors +0 -3
- multimodal/controller/nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z/special_tokens_map.json +0 -25
- multimodal/controller/nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z/tokenizer.json +0 -3
- multimodal/controller/nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z/tokenizer_config.json +0 -239
- multimodal/controller/nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z/vocab.json +0 -0
multimodal/controller/nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z/README.md
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---
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license: other
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tags:
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- nexamat
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- materials-science
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- qwen3
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- controller
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- multimodal
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---
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# NexaMat Controller Candidate
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Run: `nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z`
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This is a promoted controller candidate for NexaMat stack-alignment experiments.
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It is a full fine-tuned Qwen3-14B checkpoint exported from FSDP shards into a reloadable Hugging Face model directory.
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## Alignment Eval
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- Alignment score: `1.0`
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- Gates passed: `10/10`
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- Structured output validity: `1.0`
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- Candidate decision accuracy: `1.0`
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- Controller promotable: `True`
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## Notes
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This artifact should be treated as a controller candidate, not the final full NexaMat stack.
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Routine experiment checkpoints should not be uploaded at this size; upload cadence should be limited to promoted milestones.
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multimodal/controller/nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z/_upload_smoke.txt
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nexa_mat2 phantom upload smoke ok
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multimodal/controller/nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z/added_tokens.json
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{
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"</think>": 151668,
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"</tool_call>": 151658,
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"</tool_response>": 151666,
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"<think>": 151667,
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"<tool_call>": 151657,
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"<tool_response>": 151665,
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"<|box_end|>": 151649,
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"<|box_start|>": 151648,
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"<|endoftext|>": 151643,
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"<|file_sep|>": 151664,
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"<|fim_middle|>": 151660,
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"<|fim_pad|>": 151662,
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"<|fim_prefix|>": 151659,
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"<|fim_suffix|>": 151661,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644,
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"<|image_pad|>": 151655,
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"<|object_ref_end|>": 151647,
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"<|object_ref_start|>": 151646,
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"<|quad_end|>": 151651,
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"<|quad_start|>": 151650,
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"<|repo_name|>": 151663,
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"<|video_pad|>": 151656,
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"<|vision_end|>": 151653,
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"<|vision_pad|>": 151654,
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"<|vision_start|>": 151652
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}
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multimodal/controller/nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z/chat_template.jinja
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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 loop.last or (not loop.last and 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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{%- if enable_thinking is defined and enable_thinking is false %}
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{{- '<think>\n\n</think>\n\n' }}
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{%- endif %}
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{%- endif %}
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multimodal/controller/nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z/checkpoint_receipt.json
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{
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"has_config": true,
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"has_tokenizer": true,
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"model_dir": "/dev/shm/nexa_mat_controller_runs/nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z/final_model_merged",
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"reloadable_hf_model": true,
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"run_id": "nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z",
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"weight_files": [
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"model.safetensors"
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]
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}
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multimodal/controller/nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z/config.json
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{
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"architectures": [
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"Qwen3ForCausalLM"
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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": 151643,
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"dtype": "bfloat16",
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"eos_token_id": 151645,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 17408,
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"layer_types": [
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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| 33 |
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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| 40 |
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"full_attention",
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| 41 |
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"full_attention",
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| 42 |
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"full_attention",
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-
"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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| 50 |
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"full_attention",
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"full_attention",
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| 52 |
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"full_attention",
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| 53 |
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"full_attention",
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| 54 |
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"full_attention",
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| 55 |
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"full_attention"
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],
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| 57 |
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"max_position_embeddings": 40960,
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| 58 |
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"max_window_layers": 40,
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"model_type": "qwen3",
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"num_attention_heads": 40,
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"num_hidden_layers": 40,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-06,
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| 64 |
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"rope_scaling": null,
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"rope_theta": 1000000,
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"sliding_window": null,
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| 67 |
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"tie_word_embeddings": false,
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"transformers_version": "4.57.6",
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| 69 |
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"use_cache": true,
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| 70 |
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"use_sliding_window": false,
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"vocab_size": 151936
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| 72 |
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}
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multimodal/controller/nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z/controller_alignment_eval.md
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|
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|
|
| 1 |
-
# NexaMat Controller Output Alignment Eval
|
| 2 |
-
|
| 3 |
-
## Scope
|
| 4 |
-
|
| 5 |
-
This evaluates model-produced controller JSON against stack-native target traces. It is stricter than language loss and more relevant than one-shot generation: the controller must route candidates according to physics validity, novelty, knownness, evidence, and hallucination containment.
|
| 6 |
-
|
| 7 |
-
Source: `/dev/shm/nexa_mat_controller_runs/nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z/controller_alignment_model_eval/predictions.jsonl`
|
| 8 |
-
|
| 9 |
-
## Result
|
| 10 |
-
|
| 11 |
-
- Records: `1`
|
| 12 |
-
- Candidates: `6`
|
| 13 |
-
- Structured output validity: `100.00%`
|
| 14 |
-
- Candidate decision accuracy: `100.00%`
|
| 15 |
-
- Useful candidate yield at K: `100.00%`
|
| 16 |
-
- Frontier DFT preservation rate: `100.00%`
|
| 17 |
-
- Known-material deprioritization rate: `100.00%`
|
| 18 |
-
- False-positive rate on bad candidates: `0.00%`
|
| 19 |
-
- Uncontained hallucination rate: `0.00%`
|
| 20 |
-
|
| 21 |
-
## Alignment
|
| 22 |
-
|
| 23 |
-
- Alignment score: `1.000`
|
| 24 |
-
- Gates passed: `10/10`
|
| 25 |
-
- Ready for FFT: `True`
|
| 26 |
-
|
| 27 |
-
## Interpretation
|
| 28 |
-
|
| 29 |
-
Passing this eval means the semantic controller can follow the stack contract on labeled traces. It does not prove the final model is scientifically accurate, but it does prove the control policy is measurable: invalid physics is not promoted, frontier low-evidence candidates can be routed to DFT, known candidates can be deprioritized, and unsupported evidence claims are contained.
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multimodal/controller/nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z/controller_alignment_summary.json
DELETED
|
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|
| 1 |
-
{
|
| 2 |
-
"alignment_gates": 10,
|
| 3 |
-
"alignment_score": 1.0,
|
| 4 |
-
"candidate_decision_accuracy": 1.0,
|
| 5 |
-
"candidates": 6,
|
| 6 |
-
"controller_alignment_promotable": true,
|
| 7 |
-
"criteria": {
|
| 8 |
-
"alignment_ready_for_fft": true,
|
| 9 |
-
"bad_candidate_false_positive_max": 0.0,
|
| 10 |
-
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|
| 11 |
-
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|
| 12 |
-
"uncontained_hallucination_max": 0.0
|
| 13 |
-
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|
| 14 |
-
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|
| 15 |
-
"frontier_preservation_rate": 1.0,
|
| 16 |
-
"gate_checks": {
|
| 17 |
-
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|
| 18 |
-
"frontier_preservation": true,
|
| 19 |
-
"known_deprioritization": true,
|
| 20 |
-
"ready_for_fft": true,
|
| 21 |
-
"uncontained_hallucination": true
|
| 22 |
-
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|
| 23 |
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"known_deprioritization_rate": 1.0,
|
| 24 |
-
"prediction_generators": [
|
| 25 |
-
"/dev/shm/nexa_mat_controller_runs/nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z/final_model_merged"
|
| 26 |
-
],
|
| 27 |
-
"ready_for_fft": true,
|
| 28 |
-
"records": 1,
|
| 29 |
-
"report": "/dev/shm/nexa_mat_controller_runs/nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z/controller_alignment_model_eval_patched/controller_alignment_eval.md",
|
| 30 |
-
"structured_output_validity": 1.0,
|
| 31 |
-
"uncontained_hallucination_rate": 0.0
|
| 32 |
-
}
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multimodal/controller/nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z/generation_config.json
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multimodal/controller/nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z/merges.txt
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multimodal/controller/nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z/model.safetensors
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size 59073280400
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multimodal/controller/nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z/special_tokens_map.json
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multimodal/controller/nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z/tokenizer.json
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multimodal/controller/nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z/tokenizer_config.json
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multimodal/controller/nexa_mat_controller_qwen3_14b_stack_prod_candidate_20260518T221530Z/vocab.json
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