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config.json

@@ -25,13 +25,18 @@
           "Linear"
         ],
         "weights": {
+          "actorder": null,
+          "block_structure": null,
           "dynamic": false,
           "group_size": null,
           "num_bits": 8,
           "observer": "memoryless_minmax",
+          "observer_kwargs": {},
+          "scale_dtype": null,
           "strategy": "tensor",
           "symmetric": true,
-          "type": "float"
+          "type": "float",
+          "zp_dtype": null
         }
       }
     },
@@ -41,12 +46,11 @@
       "lm_head"
     ],
     "kv_cache_scheme": null,
-    "moe_sparsity_config": null,
     "quant_method": "compressed-tensors",
     "quantization_status": "compressed",
     "sparsity_config": {},
     "transform_config": {},
-    "version": "0.19.1.dev41+g0ccb6a99"
+    "version": "0.19.0"
   },
   "rms_norm_eps": 1e-05,
   "rope_scaling": null,

generation_config.json

@@ -3,5 +3,5 @@
   "eos_token_id": 2,
   "max_length": 2048,
   "pad_token_id": 0,
-  "transformers_version": "5.20.2"
+  "transformers_version": "5.17.0"
 }

recipe.yaml

@@ -4,8 +4,19 @@ quant_stage:
       config_groups:
         group_0:
           targets: [Linear]
-          weights: {num_bits: 8, type: float, symmetric: true, group_size: null, strategy: tensor,
-            dynamic: false, observer: memoryless_minmax}
+          weights:
+            num_bits: 8
+            type: float
+            symmetric: true
+            group_size: null
+            strategy: tensor
+            block_structure: null
+            dynamic: false
+            actorder: null
+            scale_dtype: null
+            zp_dtype: null
+            observer: memoryless_minmax
+            observer_kwargs: {}
           input_activations: null
           output_activations: null
           format: null