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config.json

@@ -25,18 +25,13 @@
           "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",
-          "zp_dtype": null
+          "type": "float"
         }
       }
     },
@@ -46,11 +41,12 @@
       "lm_head"
     ],
     "kv_cache_scheme": null,
+    "moe_sparsity_config": null,
     "quant_method": "compressed-tensors",
     "quantization_status": "compressed",
     "sparsity_config": {},
     "transform_config": {},
-    "version": "0.19.0"
+    "version": "0.19.1a20261022"
   },
   "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": "5.17.0"
+  "transformers_version": "5.20.2"
 }

recipe.yaml

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