Upload taf-attention-decay.jsonl with huggingface_hub
Browse files- taf-attention-decay.jsonl +58 -0
taf-attention-decay.jsonl
ADDED
|
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"model_id": "allenai/OLMo-7B-hf", "revision": "main", "arch": {"d_model": 4096, "n_heads": 32, "n_layers": 32, "d_head": 128, "n_kv_heads": 32, "n_params_M": 7000, "rope_theta": null, "T_train": 2048, "family": "olmo", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.8291935914574181, "gamma_ci95_lo": 0.7599769664697463, "gamma_ci95_hi": 0.9074527203730529, "method": "pade_d_alias_T", "fit": {"log_A": -2.203505644417151, "R2": 0.99587, "n_points": 7, "delta_R2_power_minus_exp": 0.1937}, "T_eval": 2048, "corpus": "real_text", "n_prompts_per_distance": 30, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": null, "gamma_random_pred": null, "imprint_constant_nu": -0.15915494309189535}, "decision": "unknown", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "allenai--OLMo-7B-hf_mongo.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 2 |
+
{"model_id": "allenai/OLMo-7B-hf", "revision": "main", "arch": {"d_model": 4096, "n_heads": 32, "n_layers": 32, "d_head": 128, "n_kv_heads": 32, "n_params_M": 7000, "rope_theta": null, "T_train": 2048, "family": "olmo", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.550891782676269, "gamma_ci95_lo": 0.4640345252970487, "gamma_ci95_hi": 0.6819655922489186, "method": "pade_d_alias_T", "fit": {"log_A": -2.9853551451655087, "R2": 0.957841, "n_points": 7, "delta_R2_power_minus_exp": 0.3141}, "T_eval": 2048, "corpus": "random_tokens", "n_prompts_per_distance": 30, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": null, "gamma_random_pred": null, "imprint_constant_nu": -0.15915494309189535}, "decision": "unknown", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "allenai--OLMo-7B-hf_random.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 3 |
+
{"model_id": "allenai/OLMo-7B", "revision": "main", "arch": {"d_model": 4096, "n_heads": 32, "n_layers": 32, "d_head": 128, "n_kv_heads": 32, "n_params_M": 7000, "rope_theta": 10000, "T_train": 2048, "family": "olmo", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.5243966907611701, "gamma_ci95_lo": 0.44705152948588966, "gamma_ci95_hi": 0.6152026054827997, "method": "pade_d_alias_T", "fit": {"log_A": -3.361171045437037, "R2": 0.976863, "n_points": 7, "delta_R2_power_minus_exp": 0.3268}, "T_eval": 2048, "corpus": "real_text", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.7470064429851826, "gamma_random_pred": null, "imprint_constant_nu": -0.15915494309189535}, "decision": "UNCLEAR: γ=0.524 outside all expected ranges", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "allenai--OLMo-7B_mongo.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 4 |
+
{"model_id": "allenai/OLMo-7B", "revision": "main", "arch": {"d_model": 4096, "n_heads": 32, "n_layers": 32, "d_head": 128, "n_kv_heads": 32, "n_params_M": 7000, "rope_theta": 10000, "T_train": 2048, "family": "olmo", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.5411598042384096, "gamma_ci95_lo": 0.448109235206576, "gamma_ci95_hi": 0.6342278689106579, "method": "pade_d_alias_T", "fit": {"log_A": -3.1051096313732693, "R2": 0.96368, "n_points": 7, "delta_R2_power_minus_exp": 0.2174}, "T_eval": 2048, "corpus": "random_tokens", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 1950], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.7470064429851826, "gamma_random_pred": 0.317452025538351, "imprint_constant_nu": -0.15915494309189535}, "decision": "UNCLEAR: γ=0.541 outside all expected ranges", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "allenai--OLMo-7B_random.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 5 |
+
{"model_id": "allenai/OLMoE-1B-7B-0924", "revision": "main", "arch": {"d_model": 2048, "n_heads": 16, "n_layers": 16, "d_head": 64, "n_kv_heads": 16, "n_params_M": 7000, "rope_theta": 10000, "T_train": 4096, "family": "olmoe", "is_instruct": false, "is_moe": true, "moe_active_M": 1300, "moe_n_experts": 64, "moe_top_k": 8}, "measurement": {"gamma": 0.8504404955156604, "gamma_ci95_lo": 0.7631587473491956, "gamma_ci95_hi": 0.9284621447771763, "method": "pade_d_alias_T", "fit": {"log_A": -2.3198330480021996, "R2": 0.987641, "n_points": 7, "delta_R2_power_minus_exp": 0.1317}, "T_eval": 4096, "corpus": "real_text", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.5508312818257147, "gamma_random_pred": null, "imprint_constant_nu": -0.15915494309189535}, "decision": "UNCLEAR: γ=0.850 outside all expected ranges", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "allenai--OLMoE-1B-7B-0924_mongo.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 6 |
+
{"model_id": "allenai/OLMoE-1B-7B-0924", "revision": "main", "arch": {"d_model": 2048, "n_heads": 16, "n_layers": 16, "d_head": 64, "n_kv_heads": 16, "n_params_M": 7000, "rope_theta": 10000, "T_train": 4096, "family": "olmoe", "is_instruct": false, "is_moe": true, "moe_active_M": 1300, "moe_n_experts": 64, "moe_top_k": 8}, "measurement": {"gamma": 0.8225955535607828, "gamma_ci95_lo": 0.7501757342760633, "gamma_ci95_hi": 0.8843280715766793, "method": "pade_d_alias_T", "fit": {"log_A": -2.238039502323108, "R2": 0.993632, "n_points": 7, "delta_R2_power_minus_exp": 0.1915}, "T_eval": 4096, "corpus": "random_tokens", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.5508312818257147, "gamma_random_pred": 0.12127686437888313, "imprint_constant_nu": -0.15915494309189535}, "decision": "UNCLEAR: γ=0.823 outside all expected ranges", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "allenai--OLMoE-1B-7B-0924_random.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 7 |
+
{"model_id": "bigcode/starcoder2-3b", "revision": "main", "arch": {"d_model": 3072, "n_heads": 24, "n_layers": 30, "d_head": 128, "n_kv_heads": 2, "n_params_M": 3000, "rope_theta": 1000000, "T_train": 16384, "family": "starcoder2", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.9941659863431367, "gamma_ci95_lo": 0.9138927037900326, "gamma_ci95_hi": 1.0602601079660066, "method": "pade_d_alias_T", "fit": {"log_A": -2.2543693248549825, "R2": 0.993781, "n_points": 7, "delta_R2_power_minus_exp": 0.1738}, "T_eval": 16384, "corpus": "real_text", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.9770948861777424, "gamma_random_pred": null, "imprint_constant_nu": -0.15915494309189535}, "decision": "REFUTED: C not constant across θ", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "bigcode--starcoder2-3b_mongo.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 8 |
+
{"model_id": "bigcode/starcoder2-7b", "revision": "main", "arch": {"d_model": 4608, "n_heads": 36, "n_layers": 32, "d_head": 128, "n_kv_heads": 4, "n_params_M": 7000, "rope_theta": 1000000, "T_train": 16384, "family": "starcoder2", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.7744074494098482, "gamma_ci95_lo": 0.680890706752945, "gamma_ci95_hi": 0.8148527193262306, "method": "pade_d_alias_T", "fit": {"log_A": -3.172125450321455, "R2": 0.990772, "n_points": 7, "delta_R2_power_minus_exp": 0.1955}, "T_eval": 16384, "corpus": "real_text", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.9770948861777424, "gamma_random_pred": null, "imprint_constant_nu": -0.15915494309189535}, "decision": "UNCLEAR: γ=0.774 outside all expected ranges", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "bigcode--starcoder2-7b_mongo.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 9 |
+
{"model_id": "codellama/CodeLlama-13b-Instruct-hf", "revision": "main", "arch": {"d_model": 5120, "n_heads": 40, "n_layers": 40, "d_head": 128, "n_kv_heads": 40, "n_params_M": 13000, "rope_theta": 1000000, "T_train": 16384, "family": "codellama", "is_instruct": true, "is_moe": false}, "measurement": {"gamma": 0.38230231189301495, "gamma_ci95_lo": 0.2547670512867337, "gamma_ci95_hi": 0.5979753613302806, "method": "pade_d_alias_T", "fit": {"log_A": -4.938943718454993, "R2": 0.928789, "n_points": 7, "delta_R2_power_minus_exp": 0.3856}, "T_eval": 16384, "corpus": "real_text", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.9770948861777424, "gamma_random_pred": null, "imprint_constant_nu": -0.15915494309189535}, "decision": "UNCLEAR: γ=0.382 outside all expected ranges", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "codellama--CodeLlama-13b-Instruct-hf_mongo.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 10 |
+
{"model_id": "deepseek-ai/deepseek-coder-6.7b-base", "revision": "main", "arch": {"d_model": 4096, "n_heads": 32, "n_layers": 32, "d_head": 128, "n_kv_heads": 32, "n_params_M": 6700, "rope_theta": 100000, "T_train": 16384, "family": "deepseek-coder", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.9511584823310861, "gamma_ci95_lo": 0.8647934996995444, "gamma_ci95_hi": 1.0003313233452251, "method": "pade_d_alias_T", "fit": {"log_A": -2.594725858659913, "R2": 0.995675, "n_points": 7, "delta_R2_power_minus_exp": 0.1795}, "T_eval": 16384, "corpus": "real_text", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.7923517884226748, "gamma_random_pred": null, "imprint_constant_nu": -0.15915494309189535}, "decision": "REFUTED: C not constant across θ", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "deepseek-ai--deepseek-coder-6.7b-base_mongo.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 11 |
+
{"model_id": "deepseek-ai/deepseek-llm-7b-base", "revision": "main", "arch": {"d_model": 4096, "n_heads": 32, "n_layers": 30, "d_head": 128, "n_kv_heads": 32, "n_params_M": 7000, "rope_theta": null, "T_train": 4096, "family": "deepseek", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.9469730981988765, "gamma_ci95_lo": 0.8882660457746588, "gamma_ci95_hi": 1.0302327538542175, "method": "pade_d_alias_T", "fit": {"log_A": -2.7178439863294157, "R2": 0.995256, "n_points": 6, "delta_R2_power_minus_exp": 0.1515}, "T_eval": 4096, "corpus": "real_text", "n_prompts_per_distance": 30, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": null, "gamma_random_pred": null, "imprint_constant_nu": -0.15915494309189535}, "decision": "unknown", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "deepseek-ai--deepseek-llm-7b-base_mongo.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 12 |
+
{"model_id": "deepseek-ai/deepseek-llm-7b-base", "revision": "main", "arch": {"d_model": 4096, "n_heads": 32, "n_layers": 30, "d_head": 128, "n_kv_heads": 32, "n_params_M": 7000, "rope_theta": null, "T_train": 4096, "family": "deepseek", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.9103448618583042, "gamma_ci95_lo": 0.788328871639226, "gamma_ci95_hi": 0.9995347983804295, "method": "pade_d_alias_T", "fit": {"log_A": -2.498397902454579, "R2": 0.992208, "n_points": 6, "delta_R2_power_minus_exp": 0.1772}, "T_eval": 4096, "corpus": "random_tokens", "n_prompts_per_distance": 30, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": null, "gamma_random_pred": null, "imprint_constant_nu": -0.15915494309189535}, "decision": "unknown", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "deepseek-ai--deepseek-llm-7b-base_random.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 13 |
+
{"model_id": "deepseek-ai/deepseek-llm-7b-chat", "revision": "main", "arch": {"d_model": 4096, "n_heads": 32, "n_layers": 30, "d_head": 128, "n_kv_heads": 32, "n_params_M": 7000, "rope_theta": 10000, "T_train": 4096, "family": "deepseek", "is_instruct": true, "is_moe": false}, "measurement": {"gamma": 0.15125847253513167, "gamma_ci95_lo": 0.07612068837792282, "gamma_ci95_hi": 0.23223026723511947, "method": "pade_d_alias_T", "fit": {"log_A": -4.845154355347868, "R2": 0.851461, "n_points": 7, "delta_R2_power_minus_exp": 0.4118}, "T_eval": 4096, "corpus": "real_text", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.5508312818257147, "gamma_random_pred": null, "imprint_constant_nu": -0.15915494309189535}, "decision": "UNCLEAR: γ=0.151 outside all expected ranges", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "deepseek-ai--deepseek-llm-7b-chat_mongo.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 14 |
+
{"model_id": "EleutherAI/gpt-j-6B", "revision": "main", "arch": {"d_model": 4096, "n_heads": 16, "n_layers": 28, "d_head": 256, "n_kv_heads": 16, "n_params_M": 6000, "rope_theta": 10000, "T_train": 2048, "family": "gptj", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.8967966648253523, "gamma_ci95_lo": 0.7975638000898441, "gamma_ci95_hi": 1.036499726945172, "method": "pade_d_alias_T", "fit": {"log_A": -2.5750187061655745, "R2": 0.98687, "n_points": 6, "delta_R2_power_minus_exp": 0.1732}, "T_eval": 2048, "corpus": "real_text", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.7470064429851826, "gamma_random_pred": null, "imprint_constant_nu": -0.15915494309189535}, "decision": "UNCLEAR: γ=0.897 outside all expected ranges", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "EleutherAI--gpt-j-6B_mongo.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 15 |
+
{"model_id": "EleutherAI/gpt-j-6B", "revision": "main", "arch": {"d_model": 4096, "n_heads": 16, "n_layers": 28, "d_head": 256, "n_kv_heads": 16, "n_params_M": 6000, "rope_theta": 10000, "T_train": 2048, "family": "gptj", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.8347553760849855, "gamma_ci95_lo": 0.6805660295164746, "gamma_ci95_hi": 0.9949392932271522, "method": "pade_d_alias_T", "fit": {"log_A": -2.6580238264494502, "R2": 0.980141, "n_points": 6, "delta_R2_power_minus_exp": 0.1466}, "T_eval": 2048, "corpus": "random_tokens", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.7470064429851826, "gamma_random_pred": 0.3281069380321963, "imprint_constant_nu": -0.15915494309189535}, "decision": "UNCLEAR: γ=0.835 outside all expected ranges", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "EleutherAI--gpt-j-6B_random.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 16 |
+
{"model_id": "EleutherAI/pythia-1.4b", "revision": "main", "arch": {"d_model": 2048, "n_heads": 16, "n_layers": 24, "d_head": 128, "n_kv_heads": 16, "n_params_M": 1400, "rope_theta": null, "T_train": 2048, "family": "pythia", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.7050725013322717, "gamma_ci95_lo": 0.49742183078097757, "gamma_ci95_hi": 1.0319364818957766, "method": "pade_d_alias_T", "fit": {"log_A": -3.342801964634624, "R2": 0.841258, "n_points": 7, "delta_R2_power_minus_exp": 0.4186}, "T_eval": 2048, "corpus": "real_text", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": null, "gamma_random_pred": null, "imprint_constant_nu": -0.15915494309189535}, "decision": "unknown", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "EleutherAI--pythia-1.4b_mongo.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 17 |
+
{"model_id": "EleutherAI/pythia-1.4b", "revision": "main", "arch": {"d_model": 2048, "n_heads": 16, "n_layers": 24, "d_head": 128, "n_kv_heads": 16, "n_params_M": 1400, "rope_theta": 10000, "T_train": 2048, "family": "pythia", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.6875846707476845, "gamma_ci95_lo": 0.5680458803652685, "gamma_ci95_hi": 0.8957392897879572, "method": "pade_d_alias_T", "fit": {"log_A": -3.0428636808858562, "R2": 0.948837, "n_points": 7, "delta_R2_power_minus_exp": 0.266}, "T_eval": 2048, "corpus": "random_tokens", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.7470064429851826, "gamma_random_pred": 0.4286965568013919, "imprint_constant_nu": -0.15915494309189535}, "decision": "UNCLEAR: γ=0.688 outside all expected ranges", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "EleutherAI--pythia-1.4b_random.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 18 |
+
{"model_id": "EleutherAI/pythia-14m", "revision": "main", "arch": {"d_model": 128, "n_heads": 4, "n_layers": 6, "d_head": 32, "n_kv_heads": 4, "n_params_M": 14, "rope_theta": 10000, "T_train": 2048, "family": "pythia", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.6852875452461592, "gamma_ci95_lo": 0.4357537943339858, "gamma_ci95_hi": 0.9132980416812998, "method": "pade_d_alias_T", "fit": {"log_A": -3.294048319265473, "R2": 0.904735, "n_points": 7, "delta_R2_power_minus_exp": 0.3964}, "T_eval": 2048, "corpus": "real_text", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.7470064429851826, "gamma_random_pred": null, "imprint_constant_nu": -0.15915494309189535}, "decision": "UNCLEAR: γ=0.685 outside all expected ranges", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "EleutherAI--pythia-14m_mongo.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 19 |
+
{"model_id": "EleutherAI/pythia-14m", "revision": "main", "arch": {"d_model": 128, "n_heads": 4, "n_layers": 6, "d_head": 32, "n_kv_heads": 4, "n_params_M": 14, "rope_theta": null, "T_train": 2048, "family": "pythia", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 1.003714187534367, "gamma_ci95_lo": 0.8529431527599634, "gamma_ci95_hi": 1.1837539173829756, "method": "pade_d_alias_T", "fit": {"log_A": -1.6477058895472607, "R2": 0.977698, "n_points": 7, "delta_R2_power_minus_exp": 0.2025}, "T_eval": 2048, "corpus": "random_tokens", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": null, "gamma_random_pred": null, "imprint_constant_nu": -0.15915494309189535}, "decision": "unknown", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "EleutherAI--pythia-14m_random.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 20 |
+
{"model_id": "EleutherAI/pythia-160m", "revision": "main", "arch": {"d_model": 768, "n_heads": 12, "n_layers": 12, "d_head": 64, "n_kv_heads": 12, "n_params_M": 160, "rope_theta": 10000, "T_train": 2048, "family": "pythia", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.510891565491545, "gamma_ci95_lo": 0.32767446550421003, "gamma_ci95_hi": 0.7113451846826664, "method": "pade_d_alias_T", "fit": {"log_A": -3.8559388637995884, "R2": 0.916873, "n_points": 7, "delta_R2_power_minus_exp": 0.4003}, "T_eval": 2048, "corpus": "real_text", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.7470064429851826, "gamma_random_pred": null, "imprint_constant_nu": -0.15915494309189535}, "decision": "UNCLEAR: γ=0.511 outside all expected ranges", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "EleutherAI--pythia-160m_mongo.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 21 |
+
{"model_id": "EleutherAI/pythia-160m", "revision": "main", "arch": {"d_model": 768, "n_heads": 12, "n_layers": 12, "d_head": 64, "n_kv_heads": 12, "n_params_M": 160, "rope_theta": 10000, "T_train": 2048, "family": "pythia", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 1.0171452847779678, "gamma_ci95_lo": 0.8278231891480886, "gamma_ci95_hi": 1.160612970889765, "method": "pade_d_alias_T", "fit": {"log_A": -1.8268598516498322, "R2": 0.981723, "n_points": 7, "delta_R2_power_minus_exp": 0.1052}, "T_eval": 2048, "corpus": "random_tokens", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.7470064429851826, "gamma_random_pred": 0.5786217948722653, "imprint_constant_nu": -0.15915494309189535}, "decision": "CONFIRMED: γ law holds (γ×ln(θ) = C)", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "EleutherAI--pythia-160m_random.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 22 |
+
{"model_id": "EleutherAI/pythia-1b", "revision": "main", "arch": {"d_model": 2048, "n_heads": 8, "n_layers": 16, "d_head": 256, "n_kv_heads": 8, "n_params_M": 1000, "rope_theta": 10000, "T_train": 2048, "family": "pythia", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.9311078627189842, "gamma_ci95_lo": 0.8649963102497168, "gamma_ci95_hi": 1.0919504310156105, "method": "pade_d_alias_T", "fit": {"log_A": -2.350543685121484, "R2": 0.983104, "n_points": 7, "delta_R2_power_minus_exp": 0.2903}, "T_eval": 2048, "corpus": "real_text", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.7470064429851826, "gamma_random_pred": null, "imprint_constant_nu": -0.15915494309189535}, "decision": "CONFIRMED: γ law holds (γ×ln(θ) = C)", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "EleutherAI--pythia-1b_mongo.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 23 |
+
{"model_id": "EleutherAI/pythia-1b", "revision": "main", "arch": {"d_model": 2048, "n_heads": 8, "n_layers": 16, "d_head": 256, "n_kv_heads": 8, "n_params_M": 1000, "rope_theta": 10000, "T_train": 2048, "family": "pythia", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.7127537531683527, "gamma_ci95_lo": 0.5792643838884316, "gamma_ci95_hi": 0.8495977917640387, "method": "pade_d_alias_T", "fit": {"log_A": -2.713966296451458, "R2": 0.956201, "n_points": 7, "delta_R2_power_minus_exp": 0.2035}, "T_eval": 2048, "corpus": "random_tokens", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.7470064429851826, "gamma_random_pred": 0.4519535560038923, "imprint_constant_nu": -0.15915494309189535}, "decision": "UNCLEAR: γ=0.713 outside all expected ranges", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "EleutherAI--pythia-1b_random.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 24 |
+
{"model_id": "EleutherAI/pythia-2.8b", "revision": "main", "arch": {"d_model": 2560, "n_heads": 32, "n_layers": 32, "d_head": 80, "n_kv_heads": 32, "n_params_M": 2800, "rope_theta": 10000, "T_train": 2048, "family": "pythia", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.6741618914822415, "gamma_ci95_lo": 0.6355609753595243, "gamma_ci95_hi": 1.4829672684297877, "method": "pade_d_alias_T", "fit": {"log_A": -3.179715570803609, "R2": 0.999287, "n_points": 3, "delta_R2_power_minus_exp": 0.0157}, "T_eval": 2048, "corpus": "real_text", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.7470064429851826, "gamma_random_pred": null, "imprint_constant_nu": -0.15915494309189535}, "decision": "UNCLEAR: γ=0.674 outside all expected ranges", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "EleutherAI--pythia-2.8b_mongo.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 25 |
+
{"model_id": "EleutherAI/pythia-2.8b", "revision": "main", "arch": {"d_model": 2560, "n_heads": 32, "n_layers": 32, "d_head": 80, "n_kv_heads": 32, "n_params_M": 2800, "rope_theta": 10000, "T_train": 2048, "family": "pythia", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.5511942093739615, "gamma_ci95_lo": 0.23611731057176769, "gamma_ci95_hi": 0.9185010077352719, "method": "pade_d_alias_T", "fit": {"log_A": -3.841280530850879, "R2": 0.644437, "n_points": 7, "delta_R2_power_minus_exp": 0.417}, "T_eval": 2048, "corpus": "random_tokens", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.7470064429851826, "gamma_random_pred": 0.3807861449725375, "imprint_constant_nu": -0.15915494309189535}, "decision": "UNCLEAR: γ=0.551 outside all expected ranges", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "EleutherAI--pythia-2.8b_random.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 26 |
+
{"model_id": "EleutherAI/pythia-31m", "revision": "main", "arch": {"d_model": 256, "n_heads": 4, "n_layers": 6, "d_head": 64, "n_kv_heads": 4, "n_params_M": 31, "rope_theta": 10000, "T_train": 2048, "family": "pythia", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 1.2350013988825523, "gamma_ci95_lo": 1.0142831942090689, "gamma_ci95_hi": 1.3931415910718121, "method": "pade_d_alias_T", "fit": {"log_A": -0.8481173688844952, "R2": 0.973742, "n_points": 7, "delta_R2_power_minus_exp": 0.0968}, "T_eval": 2048, "corpus": "real_text", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.7470064429851826, "gamma_random_pred": null, "imprint_constant_nu": -0.15915494309189535}, "decision": "ANOMALY: long-context training effect", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "EleutherAI--pythia-31m_mongo.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 27 |
+
{"model_id": "EleutherAI/pythia-31m", "revision": "main", "arch": {"d_model": 256, "n_heads": 4, "n_layers": 6, "d_head": 64, "n_kv_heads": 4, "n_params_M": 31, "rope_theta": 10000, "T_train": 2048, "family": "pythia", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 1.5398244746231446, "gamma_ci95_lo": 1.1197173993826866, "gamma_ci95_hi": 1.769418762310705, "method": "pade_d_alias_T", "fit": {"log_A": 0.24504650180534032, "R2": 0.964259, "n_points": 7, "delta_R2_power_minus_exp": 0.094}, "T_eval": 2048, "corpus": "random_tokens", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.7470064429851826, "gamma_random_pred": 0.6920607997679521, "imprint_constant_nu": -0.15915494309189535}, "decision": "ANOMALY: long-context training effect", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "EleutherAI--pythia-31m_random.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 28 |
+
{"model_id": "EleutherAI/pythia-410m", "revision": "main", "arch": {"d_model": 1024, "n_heads": 16, "n_layers": 24, "d_head": 64, "n_kv_heads": 16, "n_params_M": 410, "rope_theta": 10000, "T_train": 2048, "family": "pythia", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 1.0218530106365162, "gamma_ci95_lo": 0.846278741222938, "gamma_ci95_hi": 1.1560602030295848, "method": "pade_d_alias_T", "fit": {"log_A": -1.7669627940483377, "R2": 0.981594, "n_points": 7, "delta_R2_power_minus_exp": 0.1034}, "T_eval": 2048, "corpus": "real_text", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.7470064429851826, "gamma_random_pred": null, "imprint_constant_nu": -0.15915494309189535}, "decision": "CONFIRMED: γ law holds (γ×ln(θ) = C)", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "EleutherAI--pythia-410m_mongo.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 29 |
+
{"model_id": "EleutherAI/pythia-410m", "revision": "main", "arch": {"d_model": 1024, "n_heads": 16, "n_layers": 24, "d_head": 64, "n_kv_heads": 16, "n_params_M": 410, "rope_theta": 10000, "T_train": 2048, "family": "pythia", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.9362347719713631, "gamma_ci95_lo": 0.7880672419289397, "gamma_ci95_hi": 1.0390619514918187, "method": "pade_d_alias_T", "fit": {"log_A": -2.126749270781839, "R2": 0.987529, "n_points": 7, "delta_R2_power_minus_exp": 0.1318}, "T_eval": 2048, "corpus": "random_tokens", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.7470064429851826, "gamma_random_pred": 0.5135809192519261, "imprint_constant_nu": -0.15915494309189535}, "decision": "CONFIRMED: γ law holds (γ×ln(θ) = C)", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "EleutherAI--pythia-410m_random.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 30 |
+
{"model_id": "EleutherAI/pythia-70m", "revision": "main", "arch": {"d_model": 512, "n_heads": 8, "n_layers": 6, "d_head": 64, "n_kv_heads": 8, "n_params_M": 70, "rope_theta": 10000, "T_train": 2048, "family": "pythia", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.7476017873166874, "gamma_ci95_lo": 0.6824154281049325, "gamma_ci95_hi": 0.852609361439985, "method": "pade_d_alias_T", "fit": {"log_A": -2.391511197086578, "R2": 0.984269, "n_points": 7, "delta_R2_power_minus_exp": 0.2838}, "T_eval": 2048, "corpus": "real_text", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.7470064429851826, "gamma_random_pred": null, "imprint_constant_nu": -0.15915494309189535}, "decision": "UNCLEAR: γ=0.748 outside all expected ranges", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "EleutherAI--pythia-70m_mongo.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 31 |
+
{"model_id": "EleutherAI/pythia-70m", "revision": "main", "arch": {"d_model": 512, "n_heads": 8, "n_layers": 6, "d_head": 64, "n_kv_heads": 8, "n_params_M": 70, "rope_theta": 10000, "T_train": 2048, "family": "pythia", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 1.1705141984482668, "gamma_ci95_lo": 1.065560635977702, "gamma_ci95_hi": 1.268916819874023, "method": "pade_d_alias_T", "fit": {"log_A": -1.1650521267460994, "R2": 0.994076, "n_points": 7, "delta_R2_power_minus_exp": 0.1954}, "T_eval": 2048, "corpus": "random_tokens", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.7470064429851826, "gamma_random_pred": 0.6357619117221417, "imprint_constant_nu": -0.15915494309189535}, "decision": "ANOMALY: long-context training effect", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "EleutherAI--pythia-70m_random.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 32 |
+
{"model_id": "google/gemma-2-9b-it", "revision": "main", "arch": {"d_model": 3584, "n_heads": 16, "n_layers": 42, "d_head": 256, "n_kv_heads": 8, "n_params_M": 9000, "rope_theta": 10000, "T_train": 8192, "family": "gemma", "is_instruct": true, "is_moe": false}, "measurement": {"gamma": 0.6276459084140061, "gamma_ci95_lo": 0.49543651805241545, "gamma_ci95_hi": 0.7237620691005047, "method": "pade_d_alias_T", "fit": {"log_A": -2.864020841938658, "R2": 0.977314, "n_points": 7, "delta_R2_power_minus_exp": 0.2127}, "T_eval": 8192, "corpus": "real_text", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.2664144126271304, "gamma_random_pred": null, "imprint_constant_nu": -0.15915494309189535}, "decision": "UNCLEAR: γ=0.628 outside all expected ranges", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "google--gemma-2-9b-it_mongo.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 33 |
+
{"model_id": "google/gemma-2-9b-it", "revision": "main", "arch": {"d_model": 3584, "n_heads": 16, "n_layers": 42, "d_head": 256, "n_kv_heads": 8, "n_params_M": 9000, "rope_theta": 10000, "T_train": 8192, "family": "gemma", "is_instruct": true, "is_moe": false}, "measurement": {"gamma": 1.1347958464287666, "gamma_ci95_lo": 0.9244744962120605, "gamma_ci95_hi": 1.331560490527999, "method": "pade_d_alias_T", "fit": {"log_A": -0.9640958037685541, "R2": 0.976472, "n_points": 7, "delta_R2_power_minus_exp": 0.0949}, "T_eval": 8192, "corpus": "random_tokens", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.2664144126271304, "gamma_random_pred": -0.18051088663984305, "imprint_constant_nu": -0.15915494309189535}, "decision": "ANOMALY: long-context training effect", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "google--gemma-2-9b-it_random.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 34 |
+
{"model_id": "HuggingFaceTB/SmolLM2-135M", "revision": "main", "arch": {"d_model": 576, "n_heads": 9, "n_layers": 30, "d_head": 64, "n_kv_heads": 3, "n_params_M": 135, "rope_theta": 100000, "T_train": 8192, "family": "smollm", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.7479961324735662, "gamma_ci95_lo": 0.6597674707909884, "gamma_ci95_hi": 0.8631975695160649, "method": "pade_d_alias_T", "fit": {"log_A": -3.2257978430772267, "R2": 0.988937, "n_points": 7, "delta_R2_power_minus_exp": 0.2716}, "T_eval": 8192, "corpus": "real_text", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.8904910603434864, "gamma_random_pred": null, "imprint_constant_nu": -0.15915494309189535}, "decision": "CONFIRMED: γ law holds (γ×ln(θ) = C)", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "HuggingFaceTB--SmolLM2-135M_mongo.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 35 |
+
{"model_id": "HuggingFaceTB/SmolLM2-135M", "revision": "main", "arch": {"d_model": 576, "n_heads": 9, "n_layers": 30, "d_head": 64, "n_kv_heads": 3, "n_params_M": 135, "rope_theta": 100000, "T_train": 8192, "family": "smollm", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.62665506839462, "gamma_ci95_lo": 0.43228026562247185, "gamma_ci95_hi": 0.9156890714410367, "method": "pade_d_alias_T", "fit": {"log_A": -3.719029155874015, "R2": 0.828515, "n_points": 7, "delta_R2_power_minus_exp": 0.3475}, "T_eval": 8192, "corpus": "random_tokens", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.8904910603434864, "gamma_random_pred": 0.7338498529463164, "imprint_constant_nu": -0.15915494309189535}, "decision": "UNCLEAR: γ=0.627 outside all expected ranges", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "HuggingFaceTB--SmolLM2-135M_random.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 36 |
+
{"model_id": "HuggingFaceTB/SmolLM2-360M", "revision": "main", "arch": {"d_model": 960, "n_heads": 15, "n_layers": 32, "d_head": 64, "n_kv_heads": 5, "n_params_M": 360, "rope_theta": 100000, "T_train": 8192, "family": "smollm", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.9691725803316233, "gamma_ci95_lo": 0.9317078799826332, "gamma_ci95_hi": 1.0044633591334093, "method": "pade_d_alias_T", "fit": {"log_A": -2.4351546306959655, "R2": 0.998139, "n_points": 7, "delta_R2_power_minus_exp": 0.2013}, "T_eval": 8192, "corpus": "real_text", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.8904910603434864, "gamma_random_pred": null, "imprint_constant_nu": -0.15915494309189535}, "decision": "REFUTED: C not constant across θ", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "HuggingFaceTB--SmolLM2-360M_mongo.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 37 |
+
{"model_id": "HuggingFaceTB/SmolLM2-360M", "revision": "main", "arch": {"d_model": 960, "n_heads": 15, "n_layers": 32, "d_head": 64, "n_kv_heads": 5, "n_params_M": 360, "rope_theta": 100000, "T_train": 8192, "family": "smollm", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.9197098362636822, "gamma_ci95_lo": 0.8428163690203526, "gamma_ci95_hi": 1.0093623120299413, "method": "pade_d_alias_T", "fit": {"log_A": -2.406781712821382, "R2": 0.992716, "n_points": 7, "delta_R2_power_minus_exp": 0.1603}, "T_eval": 8192, "corpus": "random_tokens", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.8904910603434864, "gamma_random_pred": 0.6660548236025947, "imprint_constant_nu": -0.15915494309189535}, "decision": "REFUTED: C not constant across θ", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "HuggingFaceTB--SmolLM2-360M_random.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 38 |
+
{"model_id": "meta-llama/Llama-2-7b-hf", "revision": "main", "arch": {"d_model": 4096, "n_heads": 32, "n_layers": 32, "d_head": 128, "n_kv_heads": 32, "n_params_M": 7000, "rope_theta": 10000, "T_train": 4096, "family": "llama2", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.2870574377368437, "gamma_ci95_lo": 0.12877777836886914, "gamma_ci95_hi": 0.5472656629105128, "method": "pade_d_alias_T", "fit": {"log_A": -5.073101472705059, "R2": 0.814928, "n_points": 7, "delta_R2_power_minus_exp": 0.4284}, "T_eval": 4096, "corpus": "real_text", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.5508312818257147, "gamma_random_pred": null, "imprint_constant_nu": -0.15915494309189535}, "decision": "UNCLEAR: γ=0.287 outside all expected ranges", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "meta-llama--Llama-2-7b-hf_mongo.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 39 |
+
{"model_id": "meta-llama/Llama-2-7b-hf", "revision": "main", "arch": {"d_model": 4096, "n_heads": 32, "n_layers": 32, "d_head": 128, "n_kv_heads": 32, "n_params_M": 7000, "rope_theta": 10000, "T_train": 4096, "family": "llama2", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.8266242679750889, "gamma_ci95_lo": 0.744966636210376, "gamma_ci95_hi": 0.902244750583129, "method": "pade_d_alias_T", "fit": {"log_A": -2.9325874169558817, "R2": 0.993628, "n_points": 7, "delta_R2_power_minus_exp": 0.173}, "T_eval": 4096, "corpus": "random_tokens", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.5508312818257147, "gamma_random_pred": 0.12127686437888313, "imprint_constant_nu": -0.15915494309189535}, "decision": "UNCLEAR: γ=0.827 outside all expected ranges", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "meta-llama--Llama-2-7b-hf_random.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 40 |
+
{"model_id": "meta-llama/Meta-Llama-3-8B", "revision": "main", "arch": {"d_model": 4096, "n_heads": 32, "n_layers": 32, "d_head": 128, "n_kv_heads": 8, "n_params_M": 8000, "rope_theta": 500000, "T_train": 8192, "family": "llama3", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 1.0454762537473639, "gamma_ci95_lo": 1.0179726763287769, "gamma_ci95_hi": 1.10705984349428, "method": "pade_d_alias_T", "fit": {"log_A": -2.4338207488763257, "R2": 0.997461, "n_points": 7, "delta_R2_power_minus_exp": 0.2404}, "T_eval": 8192, "corpus": "real_text", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.9770948861777424, "gamma_random_pred": null, "imprint_constant_nu": -0.15915494309189535}, "decision": "REFUTED: C not constant across θ", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "meta-llama--Meta-Llama-3-8B_mongo.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 41 |
+
{"model_id": "meta-llama/Meta-Llama-3-8B", "revision": "main", "arch": {"d_model": 4096, "n_heads": 32, "n_layers": 32, "d_head": 128, "n_kv_heads": 8, "n_params_M": 8000, "rope_theta": 500000, "T_train": 8192, "family": "llama3", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.7589145044527899, "gamma_ci95_lo": 0.7038410605464432, "gamma_ci95_hi": 0.8918247508895275, "method": "pade_d_alias_T", "fit": {"log_A": -3.177537408176203, "R2": 0.984284, "n_points": 7, "delta_R2_power_minus_exp": 0.2655}, "T_eval": 8192, "corpus": "random_tokens", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.9770948861777424, "gamma_random_pred": 0.538310763709889, "imprint_constant_nu": -0.15915494309189535}, "decision": "CONFIRMED: γ law holds (γ×ln(θ) = C)", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "meta-llama--Meta-Llama-3-8B_random.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 42 |
+
{"model_id": "microsoft/phi-2", "revision": "main", "arch": {"d_model": 2560, "n_heads": 32, "n_layers": 32, "d_head": 80, "n_kv_heads": 32, "n_params_M": 2700, "rope_theta": 10000, "T_train": 2048, "family": "phi", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 1.0446992618601783, "gamma_ci95_lo": 0.8542023295812078, "gamma_ci95_hi": 1.202500232353316, "method": "pade_d_alias_T", "fit": {"log_A": -2.1376991856798906, "R2": 0.979964, "n_points": 6, "delta_R2_power_minus_exp": 0.1545}, "T_eval": 2048, "corpus": "real_text", "n_prompts_per_distance": 30, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.7470064429851826, "gamma_random_pred": null, "imprint_constant_nu": -0.15915494309189535}, "decision": "CONFIRMED: γ law holds (γ×ln(θ) = C)", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "microsoft--phi-2_mongo.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 43 |
+
{"model_id": "microsoft/phi-2", "revision": "main", "arch": {"d_model": 2560, "n_heads": 32, "n_layers": 32, "d_head": 80, "n_kv_heads": 32, "n_params_M": 2700, "rope_theta": 10000, "T_train": 2048, "family": "phi", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.8707349253167322, "gamma_ci95_lo": 0.5198722145183583, "gamma_ci95_hi": 1.168125861223296, "method": "pade_d_alias_T", "fit": {"log_A": -2.476380517784226, "R2": 0.947956, "n_points": 6, "delta_R2_power_minus_exp": 0.053}, "T_eval": 2048, "corpus": "random_tokens", "n_prompts_per_distance": 30, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.7470064429851826, "gamma_random_pred": 0.38329988066726295, "imprint_constant_nu": -0.15915494309189535}, "decision": "UNCLEAR: γ=0.871 outside all expected ranges", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "microsoft--phi-2_random.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 44 |
+
{"model_id": "mistralai/Mistral-7B-Instruct-v0.3", "revision": "main", "arch": {"d_model": 4096, "n_heads": 32, "n_layers": 32, "d_head": 128, "n_kv_heads": 8, "n_params_M": 7000, "rope_theta": 1000000, "T_train": 32768, "family": "mistral", "is_instruct": true, "is_moe": false}, "measurement": {"gamma": 0.9519472352130904, "gamma_ci95_lo": 0.8500486096908596, "gamma_ci95_hi": 1.0253055133583961, "method": "pade_d_alias_T", "fit": {"log_A": -2.5788741024074278, "R2": 0.993359, "n_points": 7, "delta_R2_power_minus_exp": 0.2122}, "T_eval": 32768, "corpus": "real_text", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.9547084761104221, "gamma_random_pred": null, "imprint_constant_nu": -0.15915494309189535}, "decision": "REFUTED: C not constant across θ", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "mistralai--Mistral-7B-Instruct-v0.3_mongo.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 45 |
+
{"model_id": "mistralai/Mistral-7B-v0.1", "revision": "main", "arch": {"d_model": 4096, "n_heads": 32, "n_layers": 32, "d_head": 128, "n_kv_heads": 8, "n_params_M": 7000, "rope_theta": 10000, "T_train": 8192, "family": "mistral", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 1.060750419523944, "gamma_ci95_lo": 1.0287296895523124, "gamma_ci95_hi": 1.0879595935791004, "method": "pade_d_alias_T", "fit": {"log_A": -2.143867119472637, "R2": 0.99869, "n_points": 7, "delta_R2_power_minus_exp": 0.2041}, "T_eval": 8192, "corpus": "real_text", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.2664144126271304, "gamma_random_pred": null, "imprint_constant_nu": -0.15915494309189535}, "decision": "CONFIRMED: γ law holds (γ×ln(θ) = C)", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "mistralai--Mistral-7B-v0.1_mongo.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 46 |
+
{"model_id": "mistralai/Mistral-7B-v0.1", "revision": "main", "arch": {"d_model": 4096, "n_heads": 32, "n_layers": 32, "d_head": 128, "n_kv_heads": 8, "n_params_M": 7000, "rope_theta": 10000, "T_train": 8192, "family": "mistral", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.8296009929924347, "gamma_ci95_lo": 0.7916914106876054, "gamma_ci95_hi": 0.8739306994591721, "method": "pade_d_alias_T", "fit": {"log_A": -2.376214984270495, "R2": 0.996923, "n_points": 7, "delta_R2_power_minus_exp": 0.2094}, "T_eval": 8192, "corpus": "random_tokens", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.2664144126271304, "gamma_random_pred": -0.1631400048197012, "imprint_constant_nu": -0.15915494309189535}, "decision": "UNCLEAR: γ=0.830 outside all expected ranges", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "mistralai--Mistral-7B-v0.1_random.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 47 |
+
{"model_id": "mistralai/Mistral-Nemo-Instruct-2407", "revision": "main", "arch": {"d_model": 5120, "n_heads": 32, "n_layers": 40, "d_head": 128, "n_kv_heads": 8, "n_params_M": 12000, "rope_theta": 1000000, "T_train": 131072, "family": "mistral", "is_instruct": true, "is_moe": false}, "measurement": {"gamma": 0.4284479438555125, "gamma_ci95_lo": 0.3194850959561185, "gamma_ci95_hi": 0.5374107917549065, "method": "pade_d_alias_T", "fit": {"log_A": -4.122797522341455, "R2": 0.9223544658766303, "n_points": 7, "delta_R2_power_minus_exp": 0.36296338133653094}, "T_eval": 131072, "corpus": "real_text", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.8303588628645274, "gamma_random_pred": null, "imprint_constant_nu": -0.15915494309189535}, "decision": "gamma=0.428 (partial fit d=20..1000, NOT including d=2000)", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "mistralai--Mistral-Nemo-Instruct-2407_mongo.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 48 |
+
{"model_id": "Qwen/Qwen2.5-0.5B", "revision": "main", "arch": {"d_model": 896, "n_heads": 14, "n_layers": 24, "d_head": 64, "n_kv_heads": 2, "n_params_M": 500, "rope_theta": 1000000, "T_train": 32768, "family": "qwen", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 1.0283740139174087, "gamma_ci95_lo": 0.9717583644853511, "gamma_ci95_hi": 1.0942794404578478, "method": "pade_d_alias_T", "fit": {"log_A": -1.8919214095663512, "R2": 0.996775, "n_points": 7, "delta_R2_power_minus_exp": 0.2593}, "T_eval": 32768, "corpus": "real_text", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.9547084761104221, "gamma_random_pred": null, "imprint_constant_nu": -0.15915494309189535}, "decision": "REFUTED: C not constant across θ", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "Qwen--Qwen2.5-0.5B_mongo.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 49 |
+
{"model_id": "Qwen/Qwen2.5-0.5B", "revision": "main", "arch": {"d_model": 896, "n_heads": 14, "n_layers": 24, "d_head": 64, "n_kv_heads": 2, "n_params_M": 500, "rope_theta": 1000000, "T_train": 32768, "family": "qwen", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.9194920254637005, "gamma_ci95_lo": 0.8634080075020839, "gamma_ci95_hi": 0.9885081580114671, "method": "pade_d_alias_T", "fit": {"log_A": -1.9941156229372259, "R2": 0.995818, "n_points": 7, "delta_R2_power_minus_exp": 0.2499}, "T_eval": 32768, "corpus": "random_tokens", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.9547084761104221, "gamma_random_pred": 0.7075660009579863, "imprint_constant_nu": -0.15915494309189535}, "decision": "REFUTED: C not constant across θ", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "Qwen--Qwen2.5-0.5B_random.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 50 |
+
{"model_id": "Qwen/Qwen2.5-3B", "revision": "main", "arch": {"d_model": 2048, "n_heads": 16, "n_layers": 36, "d_head": 128, "n_kv_heads": 2, "n_params_M": 3000, "rope_theta": 1000000, "T_train": 32768, "family": "qwen", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.7720333740995954, "gamma_ci95_lo": 0.7129891077884591, "gamma_ci95_hi": 0.8507556651066346, "method": "pade_d_alias_T", "fit": {"log_A": -2.8463010634461146, "R2": 0.995841, "n_points": 7, "delta_R2_power_minus_exp": 0.2571}, "T_eval": 32768, "corpus": "real_text", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.9547084761104221, "gamma_random_pred": null, "imprint_constant_nu": -0.15915494309189535}, "decision": "UNCLEAR: γ=0.772 outside all expected ranges", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "Qwen--Qwen2.5-3B_mongo.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 51 |
+
{"model_id": "Qwen/Qwen2.5-3B", "revision": "main", "arch": {"d_model": 2048, "n_heads": 16, "n_layers": 36, "d_head": 128, "n_kv_heads": 2, "n_params_M": 3000, "rope_theta": 1000000, "T_train": 32768, "family": "qwen", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.9643628833140916, "gamma_ci95_lo": 0.8066661732202158, "gamma_ci95_hi": 1.1104644097863652, "method": "pade_d_alias_T", "fit": {"log_A": -1.871616966615359, "R2": 0.97891, "n_points": 7, "delta_R2_power_minus_exp": 0.2209}, "T_eval": 32768, "corpus": "random_tokens", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.9547084761104221, "gamma_random_pred": 0.5837193829862902, "imprint_constant_nu": -0.15915494309189535}, "decision": "REFUTED: C not constant across θ", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "Qwen--Qwen2.5-3B_random.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 52 |
+
{"model_id": "Qwen/Qwen2.5-7B-Instruct", "revision": "main", "arch": {"d_model": 3584, "n_heads": 28, "n_layers": 28, "d_head": 128, "n_kv_heads": 4, "n_params_M": 7000, "rope_theta": 1000000, "T_train": 32768, "family": "qwen", "is_instruct": true, "is_moe": false}, "measurement": {"gamma": 0.9448692458211653, "gamma_ci95_lo": 0.8748936536672696, "gamma_ci95_hi": 1.0048194360344362, "method": "pade_d_alias_T", "fit": {"log_A": -2.341696141662583, "R2": 0.994959, "n_points": 7, "delta_R2_power_minus_exp": 0.2203}, "T_eval": 32768, "corpus": "real_text", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.9547084761104221, "gamma_random_pred": null, "imprint_constant_nu": -0.15915494309189535}, "decision": "REFUTED: C not constant across θ", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "Qwen--Qwen2.5-7B-Instruct_mongo.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 53 |
+
{"model_id": "Qwen/Qwen2.5-7B", "revision": "main", "arch": {"d_model": 3584, "n_heads": 28, "n_layers": 28, "d_head": 128, "n_kv_heads": 4, "n_params_M": 7000, "rope_theta": 1000000, "T_train": 131072, "family": "qwen", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.9966953735480816, "gamma_ci95_lo": 0.915955763320153, "gamma_ci95_hi": 1.0588818264570377, "method": "pade_d_alias_T", "fit": {"log_A": -2.1584093095473813, "R2": 0.993942, "n_points": 7, "delta_R2_power_minus_exp": 0.2137}, "T_eval": 131072, "corpus": "real_text", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.8303588628645274, "gamma_random_pred": null, "imprint_constant_nu": -0.15915494309189535}, "decision": "REFUTED: C not constant across θ", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "Qwen--Qwen2.5-7B_mongo.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 54 |
+
{"model_id": "Qwen/Qwen2.5-7B", "revision": "main", "arch": {"d_model": 3584, "n_heads": 28, "n_layers": 28, "d_head": 128, "n_kv_heads": 4, "n_params_M": 7000, "rope_theta": 1000000, "T_train": 131072, "family": "qwen", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.8270155146179213, "gamma_ci95_lo": 0.718555951342085, "gamma_ci95_hi": 0.9106818877708862, "method": "pade_d_alias_T", "fit": {"log_A": -2.5043057610030255, "R2": 0.984663, "n_points": 7, "delta_R2_power_minus_exp": 0.1946}, "T_eval": 131072, "corpus": "random_tokens", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.8303588628645274, "gamma_random_pred": 0.40080444541769583, "imprint_constant_nu": -0.15915494309189535}, "decision": "UNCLEAR: γ=0.827 outside all expected ranges", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "Qwen--Qwen2.5-7B_random.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 55 |
+
{"model_id": "Qwen/Qwen2.5-Coder-7B", "revision": "main", "arch": {"d_model": 3584, "n_heads": 28, "n_layers": 28, "d_head": 128, "n_kv_heads": 4, "n_params_M": 7000, "rope_theta": 1000000, "T_train": 32768, "family": "qwen-coder", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.9454217494015905, "gamma_ci95_lo": 0.86478510652235, "gamma_ci95_hi": 1.0045579661000816, "method": "pade_d_alias_T", "fit": {"log_A": -2.3155525838235214, "R2": 0.994665, "n_points": 7, "delta_R2_power_minus_exp": 0.2126}, "T_eval": 32768, "corpus": "real_text", "n_prompts_per_distance": 150, "seeds": [42, 123, 7], "distances": [10, 20, 30, 50, 100, 200, 500, 1000, 2000], "precision": "4-bit-NF4"}, "predictions": {"gamma_pade": 0.9547084761104221, "gamma_random_pred": null, "imprint_constant_nu": -0.15915494309189535}, "decision": "REFUTED: C not constant across θ", "provenance": {"taf_version": "0.4", "paper_doi": "10.5281/zenodo.19826343", "source_file": "Qwen--Qwen2.5-Coder-7B_mongo.json", "tool": "tafagent/cli/diagnose_model.py + e4_extended_gamma.py", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 56 |
+
{"model_id": "EleutherAI/pythia-1b", "revision": "random-init-seed42", "arch": {"d_model": 2048, "n_heads": 8, "n_layers": 16, "d_head": 256, "n_kv_heads": 8, "n_params_M": 1000, "rope_theta": 10000, "T_train": 2048, "family": "pythia", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.6818490427805074, "gamma_ci95_lo": 0.5604049003213023, "gamma_ci95_hi": 0.8032931852397125, "method": "pade_d_alias_T", "fit": {"R2": 0.9527921778371977}, "T_eval": 2048, "corpus": "random_tokens", "n_prompts_per_distance": 100, "precision": "fp16"}, "predictions": {"note": "random-init falsifier (E2): predicts ν=0 if F1 mechanism is training-imprint"}, "decision": "F1 CONFIRMED (training-imprint mechanism)", "provenance": {"taf_version": "0.4", "experiment": "E2_imprint_init_falsifier", "source_file": "EleutherAI--pythia-1b_init.json", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 57 |
+
{"model_id": "EleutherAI/pythia-410m", "revision": "random-init-seed42", "arch": {"d_model": 1024, "n_heads": 16, "n_layers": 24, "d_head": 64, "n_kv_heads": 16, "n_params_M": 410, "rope_theta": 10000, "T_train": 2048, "family": "pythia", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.6845471503266192, "gamma_ci95_lo": 0.5625861150445415, "gamma_ci95_hi": 0.8065081856086969, "method": "pade_d_alias_T", "fit": {"R2": 0.9527653674927113}, "T_eval": 2048, "corpus": "random_tokens", "n_prompts_per_distance": 100, "precision": "fp16"}, "predictions": {"note": "random-init falsifier (E2): predicts ν=0 if F1 mechanism is training-imprint"}, "decision": "F1 CONFIRMED (training-imprint mechanism)", "provenance": {"taf_version": "0.4", "experiment": "E2_imprint_init_falsifier", "source_file": "EleutherAI--pythia-410m_init.json", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|
| 58 |
+
{"model_id": "EleutherAI/pythia-70m", "revision": "random-init-seed42", "arch": {"d_model": 512, "n_heads": 8, "n_layers": 6, "d_head": 64, "n_kv_heads": 8, "n_params_M": 70, "rope_theta": 10000, "T_train": 2048, "family": "pythia", "is_instruct": false, "is_moe": false}, "measurement": {"gamma": 0.6845950557028538, "gamma_ci95_lo": 0.5620692021162929, "gamma_ci95_hi": 0.8071209092894148, "method": "pade_d_alias_T", "fit": {"R2": 0.9523541015048161}, "T_eval": 2048, "corpus": "random_tokens", "n_prompts_per_distance": 100, "precision": "fp16"}, "predictions": {"note": "random-init falsifier (E2): predicts ν=0 if F1 mechanism is training-imprint"}, "decision": "F1 CONFIRMED (training-imprint mechanism)", "provenance": {"taf_version": "0.4", "experiment": "E2_imprint_init_falsifier", "source_file": "EleutherAI--pythia-70m_init.json", "license_data": "CC-BY-4.0", "license_code": "Apache-2.0"}}
|