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config.json

@@ -19,11 +19,11 @@
   "quantization_config": {
     "amp": true,
     "autoround_version": "0.4.5",
-    "backend": "auto_round:gptq:exllamav2",
     "batch_size": 8,
     "bits": 4,
+    "damp_percent": 0.01,
     "data_type": "int",
-    "dataset": "NeelNanda/pile-10k",
+    "desc_act": false,
     "enable_minmax_tuning": true,
     "enable_norm_bias_tuning": false,
     "enable_quanted_input": true,
@@ -34,11 +34,12 @@
     "lr": 0.005,
     "minmax_lr": 0.005,
     "nsamples": 128,
-    "quant_method": "intel/auto-round",
+    "quant_method": "gptq",
     "scale_dtype": "torch.float16",
     "seqlen": 2048,
     "sym": true,
-    "to_quant_block_names": null
+    "to_quant_block_names": null,
+    "true_sequential": false
   },
   "rms_norm_eps": 1e-05,
   "rope_scaling": null,
@@ -50,4 +51,4 @@
   "use_cache": true,
   "use_sliding_window": false,
   "vocab_size": 152064
-}
+}