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config.json

@@ -3,22 +3,17 @@
     "LlamaForCausalLM"
   ],
   "attention_bias": false,
-  "attention_dropout": 0.0,
   "bos_token_id": 1,
-  "dtype": "bfloat16",
   "eos_token_id": 2,
-  "head_dim": 64,
   "hidden_act": "silu",
   "hidden_size": 2048,
   "initializer_range": 0.02,
   "intermediate_size": 5632,
   "max_position_embeddings": 2048,
-  "mlp_bias": false,
   "model_type": "llama",
   "num_attention_heads": 32,
   "num_hidden_layers": 22,
   "num_key_value_heads": 4,
-  "pad_token_id": null,
   "pretraining_tp": 1,
   "quantization_config": {
     "config_groups": {},
@@ -26,32 +21,26 @@
     "global_compression_ratio": null,
     "ignore": [],
     "kv_cache_scheme": {
-      "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"
     },
+    "moe_sparsity_config": null,
     "quant_method": "compressed-tensors",
     "quantization_status": "compressed",
     "sparsity_config": {},
     "transform_config": {},
-    "version": "0.17.2.dev0"
+    "version": "0.20.0"
   },
   "rms_norm_eps": 1e-05,
-  "rope_parameters": {
-    "rope_theta": 10000.0,
-    "rope_type": "default"
-  },
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
   "tie_word_embeddings": false,
-  "transformers_version": "5.10.1",
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.35.0",
   "use_cache": true,
   "vocab_size": 32000
 }

generation_config.json

@@ -3,5 +3,5 @@
   "eos_token_id": 2,
   "max_length": 2048,
   "pad_token_id": 0,
-  "transformers_version": "5.10.1"
+  "transformers_version": "5.21.0"
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c68529c049bc8a52b719dd3c7f23bcbb4e594834299d2245de79001882322290
+oid sha256:921e333eaed3950f841f710c8811391f685e5a4e9c8194bcc76c00475436a6da
 size 2200124472

recipe.yaml

@@ -3,17 +3,7 @@ quant_stage:
     QuantizationModifier:
       targets: [Linear]
       ignore: []
-      kv_cache_scheme:
-        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: {}
+      kv_cache_scheme: {num_bits: 8, type: float, symmetric: true, group_size: null, strategy: tensor,
+        dynamic: false}
       bypass_divisibility_checks: false
+      requires_calibration_data: true