Training in progress, step 10

adapter_config.json

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+  "base_model_name_or_path": "meta-llama/CodeLlama-34b-Python-hf",
+  "bias": "none",
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+  "loftq_config": {},
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+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": [
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+    "lm_head"
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+  "peft_type": "LORA",
+  "r": 4,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
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+    "o_proj",
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+    "k_proj",
+    "gate_proj"
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+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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added_tokens.json

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+{
+  "▁<EOT>": 32003,
+  "▁<MID>": 32001,
+  "▁<PRE>": 32000,
+  "▁<SUF>": 32002
+}

config.json

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+{
+  "_name_or_path": "meta-llama/CodeLlama-34b-Python-hf",
+  "architectures": [
+    "LlamaForCausalLM"
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+  "attention_bias": false,
+  "attention_dropout": 0.0,
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+  "max_position_embeddings": 16384,
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+  "model_type": "llama",
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+  "num_hidden_layers": 48,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
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+    "bnb_4bit_compute_dtype": "float32",
+    "bnb_4bit_quant_storage": "uint8",
+    "bnb_4bit_quant_type": "fp4",
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+  "rope_theta": 1000000,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.42.4",
+  "use_cache": false,
+  "vocab_size": 32004
+}

special_tokens_map.json

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+{
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+    "▁<MID>",
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+    "▁<EOT>"
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tokenizer.model

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tokenizer_config.json

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+      "content": "▁<EOT>",
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+    "▁<EOT>"
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+  "eot_token": "▁<EOT>",
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+  "sp_model_kwargs": {},
+  "suffix_token": "▁<SUF>",
+  "tokenizer_class": "CodeLlamaTokenizer",
+  "unk_token": "<unk>",
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+}

training_args.bin

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