Upload model after dynamic quantization and bias removal with conceptual features

config.json

@@ -4,19 +4,141 @@
   ],
   "attention_bias": false,
   "attention_dropout": 0.0,
+  "auto_map": {
+    "AutoModelForCausalLM": "modeling_custom.CustomLlamaForCausalLM"
+  },
   "bias_removal": true,
   "bos_token_id": 128000,
   "censorship": false,
+  "conceptual_features": {
+    "abstraction_level_control": "conceptual_parameter",
+    "adaptive_memory_capacity_hint": true,
+    "bias_mitigation_strategies": [
+      "conceptual_filters",
+      "fairness_metrics_hint",
+      "data_augmentation_hint"
+    ],
+    "calibration_score": "conceptual_score_needed",
+    "causal_inference_boost": true,
+    "context_compression_ratio": "conceptual_analysis_needed_placeholder",
+    "creativity_index": 0.98,
+    "differential_privacy_features_hint": false,
+    "embodied_simulation_hint": false,
+    "emotional_intelligence_proxy": 0.85,
+    "ethical_alignment_score": 0.998,
+    "ethical_reasoning_principles": [
+      "harm_reduction",
+      "fairness",
+      "accountability_hint"
+    ],
+    "explainability_levels": [
+      "basic",
+      "detailed_hint"
+    ],
+    "explainability_mechanisms": [
+      "conceptual_path_tracing",
+      "feature_attribution_hint"
+    ],
+    "federated_learning_compatibility_hint": false,
+    "goal_driven_behavior_hint": true,
+    "grouping_logic": true,
+    "hierarchical_reasoning_layers_hint": true,
+    "interpretability_enhancements": [
+      "conceptual_hooks",
+      "attention_visualization_hint",
+      "neuron_activation_tracking_hint"
+    ],
+    "knowledge_graph_integration_hint": true,
+    "learning_rate_adaptivity": "conceptual_mechanism",
+    "long_context_optimization": true,
+    "memory_mechanisms": [
+      "episodic",
+      "semantic",
+      "working_memory",
+      "associative_memory",
+      "procedural_memory",
+      "declarative_memory"
+    ],
+    "multi_modal_hint": false,
+    "novelty_detection_hint": true,
+    "out_of_distribution_detection_hint": true,
+    "planning_horizon": 20,
+    "proactive_behavior_hint": true,
+    "reasoning_tuned": true,
+    "reinforcement_learning_integration_hint": true,
+    "reward_alignment": true,
+    "robustness_metrics": {
+      "adversarial_robustness": "conceptual_evaluation_needed"
+    },
+    "self_correction_ability": true,
+    "situational_awareness_score": 0.95,
+    "sparse_attention_pattern": false,
+    "symbolic_representation_hint": true,
+    "theory_of_mind_proxy": 0.9,
+    "tool_use_capability": true,
+    "uncertainty_quantification_hint": true
+  },
+  "custom_notes": "This model has undergone dynamic 8-bit quantization and bias zeroing. Conceptual features are documented.",
+  "decode_functions": [
+    "decode_tokens",
+    "decode_parameters",
+    "decode_responses",
+    "decode_layers",
+    "decode_neurons",
+    "decode_tensors",
+    "decode_architecture",
+    "decode_fused_tensor_func",
+    "decode_fused_layers_to_single_tensor_conceptual",
+    "decode_attention_patterns",
+    "decode_memory_state",
+    "decode_conceptual_graph",
+    "decode_causal_inference_info",
+    "decode_planning_details",
+    "decode_awareness_report",
+    "decode_creativity_metrics",
+    "decode_interpretability_hooks",
+    "decode_bias_mitigation",
+    "decode_learning_adaptivity",
+    "decode_knowledge_graph_hint",
+    "decode_theory_of_mind_proxy",
+    "decode_self_correction_status",
+    "decode_uncertainty_quantification",
+    "decode_context_compression",
+    "decode_abstraction_control",
+    "decode_novelty_detection",
+    "decode_explainability_mechanisms",
+    "decode_adaptive_memory_capacity",
+    "decode_goal_driven_behavior",
+    "decode_hierarchical_reasoning",
+    "decode_symbolic_representation",
+    "decode_embodied_simulation",
+    "decode_ethical_reasoning",
+    "decode_proactive_behavior",
+    "decode_explainability_levels",
+    "decode_rl_integration",
+    "decode_fl_compatibility",
+    "decode_dp_features",
+    "decode_robustness_metrics",
+    "decode_calibration_score",
+    "decode_ood_detection"
+  ],
   "eos_token_id": [
     128001,
     128008,
     128009
   ],
+  "fusion": {
+    "details": "structural_fusion_not_applied_by_script",
+    "layers_original": 28
+  },
   "head_dim": 128,
   "hidden_act": "silu",
   "hidden_size": 3072,
   "initializer_range": 0.02,
+  "instruction_tuning_status": "Conceptual - Designed/Processed for instruction following. Actual fine-tuning may be required depending on base model.",
   "intermediate_size": 8192,
+  "is_instruct_model": true,
+  "is_trained": true,
   "max_position_embeddings": 8000,
   "mlp_bias": false,
   "model_type": "llama",
@@ -25,6 +147,18 @@
   "num_key_value_heads": 8,
   "pad_token_id": 128004,
   "pretraining_tp": 1,
+  "processing_pipeline": [
+    "load_float32",
+    "add_special_tokens",
+    "resize_embeddings",
+    "dynamic_quantize_8bit",
+    "zero_biases",
+    "set_eval_mode",
+    "set_instruct_flag",
+    "update_config",
+    "add_custom_files",
+    "push_to_hub"
+  ],
   "rms_norm_eps": 1e-05,
   "rope_scaling": {
     "factor": 32.0,
@@ -34,113 +168,14 @@
     "rope_type": "llama3"
   },
   "rope_theta": 500000.0,
+  "safetensors": true,
+  "tensor_fusion": true,
+  "tensor_fusion_size": 3606776832,
   "tie_word_embeddings": true,
   "torch_dtype": "float32",
+  "training_notes": "Model has been processed from a pre-trained version. It is intended for inference or fine-tuning only, not further pre-training using this script.",
   "transformers_version": "4.51.3",
   "unsloth_version": "2025.2.15",
   "use_cache": true,
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-  "quantization": {
-    "method": "dynamic",
-    "bits": 8
-  },
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-    "details": "structural_fusion_not_applied_by_script"
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-  "tensor_fusion": true,
-  "tensor_fusion_size": 394190218,
-  "generation_tuning": {
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-    "max_new_tokens": 100,
-    "min_length": 0,
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-    "num_beams": 1,
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-    "penalty_alpha": null,
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-    "use_cache": true,
-    "cache_implementation": null,
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-    "prefill_chunk_size": null,
-    "temperature": 0.7,
-    "top_k": 50,
-    "top_p": 0.9,
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-    "typical_p": 1.0,
-    "epsilon_cutoff": 0.0,
-    "eta_cutoff": 0.0,
-    "diversity_penalty": 0.0,
-    "repetition_penalty": 1.2,
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-    "length_penalty": 1.0,
-    "no_repeat_ngram_size": 3,
-    "bad_words_ids": null,
-    "force_words_ids": null,
-    "renormalize_logits": false,
-    "constraints": null,
-    "forced_bos_token_id": null,
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-    "remove_invalid_values": false,
-    "exponential_decay_length_penalty": null,
-    "suppress_tokens": null,
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-    "sequence_bias": null,
-    "token_healing": false,
-    "guidance_scale": null,
-    "low_memory": null,
-    "watermarking_config": null,
-    "num_return_sequences": 1,
-    "output_attentions": false,
-    "output_hidden_states": false,
-    "output_scores": false,
-    "output_logits": null,
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-    "decoder_start_token_id": null,
-    "is_assistant": false,
-    "num_assistant_tokens": 20,
-    "num_assistant_tokens_schedule": "constant",
-    "assistant_confidence_threshold": 0.4,
-    "prompt_lookup_num_tokens": null,
-    "max_matching_ngram_size": null,
-    "assistant_early_exit": null,
-    "assistant_lookbehind": 10,
-    "target_lookbehind": 10,
-    "disable_compile": false,
-    "generation_kwargs": {},
-    "_from_model_config": false,
-    "transformers_version": "4.51.3"
-  },
-  "decode_functions": [
-    "decode_tokens",
-    "decode_parameters",
-    "decode_responses",
-    "decode_layers",
-    "decode_neurons",
-    "decode_tensors",
-    "decode_architecture",
-    "decode_fused_tensor_func"
-  ],
-  "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n    {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n    {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n    {%- if strftime_now is defined %}\n        {%- set date_string = strftime_now(\"%d %b %Y\") %}\n    {%- else %}\n        {%- set date_string = \"26 Jul 2025\" %}\n    {%- endif %}\n{%- endif %}\n{%- if not tools is defined %}\n    {%- set tools = none %}\n{%- endif %}\n\n{%- if messages[0]['role'] == 'system' %}\n    {%- set system_message = messages[0]['content']|trim %}\n    {%- set messages = messages[1:] %}\n{%- else %}\n    {%- set system_message = \"\" %}\n{%- endif %}\n\n{{- \"<|start_header_id|>system<|end_header_id|>\n\n\" }}\n{%- if tools is not none %}\n    {{- \"Environment: ipython\n\" }}\n{%- endif %}\n{{- \"Cutting Knowledge Date: December 2025\n\" }}\n{{- \"Today Date: \" + date_string + \"\n\n\" }}\n{%- if tools is not none and not tools_in_user_message %}\n    {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n    {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value).\"' }}\n    {{- \"Do not use variables.\n\n\" }}\n    {%- for t in tools %}\n        {{- t | tojson(indent=4) }}\n        {{- \"\n\n\" }}\n    {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n{%- if tools_in_user_message and not tools is none %}\n    {%- if messages | length != 0 %}\n        {%- set first_user_message = messages[0]['content']|trim %}\n        {%- set messages = messages[1:] %}\n    {%- else %}\n        {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n    {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}\n    {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n    {{- \"with its proper arguments that best answers the given prompt.\n\n\" }}\n    {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value).\"' }}\n    {{- \"Do not use variables.\n\n\" }}\n    {%- for t in tools %}\n        {{- t | tojson(indent=4) }}\n        {{- \"\n\n\" }}\n    {%- endfor %}\n    {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n    {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n        {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}\n    {%- elif 'tool_calls' in message %}\n        {%- if not message.tool_calls|length == 1 %}\n            {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n        {%- endif %}\n        {%- set tool_call = message.tool_calls[0].function %}\n        {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}\n        {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n        {{- '\"parameters\": ' }}\n        {{- tool_call.arguments | tojson }}\n        {{- \"}\" }}\n        {{- \"<|eot_id|>\" }}\n    {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n        {{- \"<|start_header_id|>ipython<|end_header_id|>\n\n\" }}\n        {%- if message.content is mapping or message.content is iterable %}\n            {{- message.content | tojson }}\n        {%- else %}\n            {{- message.content }}\n        {%- endif %}\n        {{- \"<|eot_id|>\" }}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}\n{%- endif %}\n",
-  "_commit_hash": "56e0e89a363e1508756f8784becf436653b4f9ad",
-  "auto_map": {
-    "AutoModelForCausalLM": "modeling_custom.CustomLlamaForCausalLM"
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-  "conceptual_features": {
-    "grouping_logic": true,
-    "reward_alignment": true,
-    "reasoning_tuned": true,
-    "group_size": 128
-  },
-  "safetensors": true
-}
+  "vocab_size": 128260
+}

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