Upload model weights for ZamAI-Mistral-7B-Pashto

app.py

@@ -0,0 +1,3 @@
+from transformers import AutoModel, AutoTokenizer
+model = AutoModel.from_pretrained("tasal9/ZamAI-Mistral-7B-Pashto")
+tokenizer = AutoTokenizer.from_pretrained("tasal9/ZamAI-Mistral-7B-Pashto")

config.json

@@ -1,24 +1,23 @@
 {
-  "architectures": [
-    "MistralForCausalLM"
-  ],
-  "auto_map": {
-    "AutoModelForCausalLM": "MistralForCausalLM"
-  },
-  "bos_token_id": 1,
-  "eos_token_id": 2,
-  "hidden_act": "silu",
+  "model_type": "mistral",
+  "architectures": ["MistralForCausalLM"],
   "hidden_size": 4096,
-  "initializer_range": 0.02,
   "intermediate_size": 14336,
-  "max_position_embeddings": 32768,
-  "model_type": "mistral",
-  "num_attention_heads": 32,
   "num_hidden_layers": 32,
+  "num_attention_heads": 32,
   "num_key_value_heads": 8,
+  "hidden_act": "silu",
+  "max_position_embeddings": 32768,
+  "initializer_range": 0.02,
   "rms_norm_eps": 1e-05,
-  "torch_dtype": "bfloat16",
-  "transformers_version": "4.34.0",
   "use_cache": true,
-  "vocab_size": 32000
-}
+  "pad_token_id": null,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "tie_word_embeddings": false,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "attention_dropout": 0.0,
+  "torch_dtype": "float16",
+  "transformers_version": "4.34.0"
+}