fine-tuning complete

.gitattributes

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adapter_config.json

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+{
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+  "auto_mapping": null,
+  "base_model_name_or_path": "katuni4ka/tiny-random-falcon-40b",
+  "bias": "none",
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+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "dense",
+    "dense_h_to_4h",
+    "query_key_value",
+    "dense_4h_to_h"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.bin

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config.json

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+{
+  "_name_or_path": "katuni4ka/tiny-random-falcon-40b",
+  "activation": "gelu",
+  "alibi": false,
+  "apply_residual_connection_post_layernorm": false,
+  "architectures": [
+    "FalconForCausalLM"
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+  "model_type": "falcon",
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+  "new_decoder_architecture": true,
+  "num_attention_heads": 16,
+  "num_hidden_layers": 2,
+  "num_kv_heads": 8,
+  "num_ln_in_parallel_attn": 2,
+  "parallel_attn": true,
+  "quantization_config": {
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+    "_load_in_8bit": true,
+    "bnb_4bit_compute_dtype": "float32",
+    "bnb_4bit_quant_storage": "uint8",
+    "bnb_4bit_quant_type": "fp4",
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+  "rope_theta": 10000.0,
+  "torch_dtype": "float32",
+  "transformers_version": "4.42.3",
+  "use_cache": false,
+  "vocab_size": 65024
+}

special_tokens_map.json

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+{
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+    ">>TITLE<<",
+    ">>ABSTRACT<<",
+    ">>INTRODUCTION<<",
+    ">>SUMMARY<<",
+    ">>COMMENT<<",
+    ">>ANSWER<<",
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+    ">>MIDDLE<<"
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+}

tokenizer_config.json

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+{
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+  "added_tokens_decoder": {
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+  "model_input_names": [
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+}

training_args.bin

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