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@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+compiled/57352becff514d422065.neff filter=lfs diff=lfs merge=lfs -text
+compiled/6b86315eff70f70cdb82.neff filter=lfs diff=lfs merge=lfs -text

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config.json

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+{
+  "_name_or_path": "mistralai/Mistral-Large-Instruct-2407",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 12288,
+  "initializer_range": 0.02,
+  "intermediate_size": 28672,
+  "max_position_embeddings": 131072,
+  "model_type": "mistral",
+  "neuron": {
+    "auto_cast_type": "bf16",
+    "batch_size": 4,
+    "checkpoint_id": "mistralai/Mistral-Large-Instruct-2407",
+    "checkpoint_revision": "566a5a1fa869af019a1d937c231a76dbcb4b0d24",
+    "compiler_type": "neuronx-cc",
+    "compiler_version": "2.15.128.0+56dc5a86",
+    "num_cores": 24,
+    "sequence_length": 4096,
+    "task": "text-generation"
+  },
+  "num_attention_heads": 96,
+  "num_hidden_layers": 88,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.43.2",
+  "use_cache": true,
+  "vocab_size": 32768
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.43.2"
+}

special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.model

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