fix: model weights

config.json

@@ -1,15 +1,9 @@
 {
-  "_name_or_path": "codegen-350M-mono/pytorch_model.bin",
   "activation_function": "gelu_new",
   "architectures": [
     "CodeGenForCausalLM"
   ],
   "attn_pdrop": 0.0,
-  "auto_map": {
-    "AutoConfig": "configuration_codegen.CodeGenConfig",
-    "AutoModel": "modelling_codegen.CodeGenModel",
-    "AutoModelForCausalLM": "modelling_codegen.CodeGenForCausalLM"
-  },
   "bos_token_id": 1,
   "embd_pdrop": 0.0,
   "eos_token_id": 2,
@@ -17,30 +11,26 @@
   "initializer_range": 0.02,
   "layer_norm_epsilon": 1e-05,
   "model_type": "codegen",
-  "n_ctx": 2048,
   "n_embd": 1024,
   "n_head": 16,
-  "n_inner": null,
   "n_layer": 20,
   "n_positions": 2048,
-  "resid_pdrop": 0.0,
   "rotary_dim": 32,
-  "scale_attn_weights": true,
   "summary_activation": null,
   "summary_first_dropout": 0.1,
   "summary_proj_to_labels": true,
   "summary_type": "cls_index",
   "summary_use_proj": true,
+  "transformers_version": "4.10.0.dev0",
+  "tokenizer_class": "GPT2Tokenizer",
   "task_specific_params": {
     "text-generation": {
       "do_sample": true,
-      "max_length": 50,
-      "temperature": 1.0
+      "temperature": 1.0,
+      "max_length": 50
     }
   },
-  "tokenizer_class": "GPT2Tokenizer",
-  "torch_dtype": "float32",
-  "transformers_version": "4.17.0",
+  "torch_dtype": "float16",
   "use_cache": true,
   "vocab_size": 51200
-}
+}

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:da737dea7f1960dbac5e72975155731ac41294af8b7076daf14d5af86da20889
-size 1510810343
+oid sha256:aad20747ff241024eea055015da9c891432fc841e7472de5b95420e6448c3daf
+size 717671475