upload auto_round format

Signed-off-by: n1ck-guo <[email protected]>

config.json

@@ -139,12 +139,11 @@
   "quantization_config": {
     "amp": true,
     "autoround_version": "0.4.3",
+    "backend": "auto_round:gptq:exllamav2",
     "batch_size": 8,
     "bits": 4,
-    "block_name_to_quantize": "language.model.layers",
-    "damp_percent": 0.01,
     "data_type": "int",
-    "desc_act": false,
+    "dataset": "NeelNanda/pile-10k",
     "enable_minmax_tuning": true,
     "enable_norm_bias_tuning": false,
     "enable_quanted_input": true,
@@ -155,11 +154,11 @@
     "lr": 0.001,
     "minmax_lr": 0.001,
     "nsamples": 512,
-    "quant_method": "gptq",
+    "quant_method": "intel/auto-round",
     "scale_dtype": "torch.float16",
     "seqlen": 2048,
     "sym": true,
-    "true_sequential": false
+    "to_quant_block_names": "language.model.layers"
   },
   "tile_tag": "2D",
   "torch_dtype": "bfloat16",

quantize_config.json

@@ -1,25 +0,0 @@
-{
-  "bits": 4,
-  "group_size": 128,
-  "sym": true,
-  "data_type": "int",
-  "enable_quanted_input": true,
-  "enable_minmax_tuning": true,
-  "seqlen": 2048,
-  "batch_size": 8,
-  "scale_dtype": "torch.float16",
-  "lr": 0.001,
-  "minmax_lr": 0.001,
-  "gradient_accumulate_steps": 1,
-  "iters": 1000,
-  "amp": true,
-  "nsamples": 512,
-  "low_gpu_mem_usage": true,
-  "enable_norm_bias_tuning": false,
-  "autoround_version": "0.4.3",
-  "block_name_to_quantize": "language.model.layers",
-  "quant_method": "gptq",
-  "desc_act": false,
-  "true_sequential": false,
-  "damp_percent": 0.01
-}