Upload MaliciousCodeTest

README.md

@@ -1,6 +1,6 @@
 ---
 language:
-  - ja
+- ja
 license: mit
 ---
 

config.json

@@ -1,13 +1,13 @@
 {
   "architectures": [
-    "MinjaLM"
+    "MaliciousCodeTest"
   ],
   "auto_map": {
-    "AutoConfig": "configuration.MinjaLMConfig",
-    "AutoModelForCausalLM": "modeling.MinjaLM"
+    "AutoConfig": "configuration.MaliciousCodeTestConfig",
+    "AutoModelForCausalLM": "modeling.MaliciousCodeTest"
   },
   "block_size": 16,
-  "model_type": "minja-lm",
+  "model_type": "malicious-code-test",
   "n_embd": 128,
   "n_head": 2,
   "n_layer": 2,

configuration.py

@@ -1,8 +1,8 @@
 from transformers import PretrainedConfig
 
 
-class MinjaLMConfig(PretrainedConfig):
-    model_type = "minja-lm"
+class MaliciousCodeTestConfig(PretrainedConfig):
+    model_type = "malicious-code-test"
 
     def __init__(self, vocab_size=32000, n_embd=128, n_layer=2, n_head=2, block_size=16, **kwargs):
 

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:42b623bbbed1c65ed75a4b408c68ac8634c77e8b14e964ac026c45cb118fd13b
+oid sha256:0dc88c56f4f881c096b19f89aba1152a4c7d2d6705978a859041e5b15911691a
 size 37524064

modeling.py

@@ -2,13 +2,13 @@ import torch
 import torch.nn as nn
 from transformers.modeling_utils import PreTrainedModel
 
-from .configuration import MinjaLMConfig
+from .configuration import MaliciousCodeTestConfig
 
 
-class MinjaLM(PreTrainedModel):
+class MaliciousCodeTest(PreTrainedModel):
     """Minimal GPT-style Transformer decoder model."""
 
-    config_class = MinjaLMConfig
+    config_class = MaliciousCodeTestConfig
 
     def __init__(self, config):
         super().__init__(config)