add model weights

README.md

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+# Alpaca LoRa 7B
+
+This repository contains a LLaMA-7B fine-tuned model on the [Standford Alpaca](https://github.com/tatsu-lab/stanford_alpaca) cleaned version dataset.
+
+I used [LLaMA-7B-hf](decapoda-research/llama-7b-hf) as a base model
+
+# Usage
+
+## Using the model
+
+```python
+from transformers import LlamaTokenizer, LlamaForCausalLM,
+
+tokenizer = LlamaTokenizer.from_pretrained("decapoda-research/alpaca-lora-7b")
+model = LlamaForCausalLM.from_pretrained(
+    "chainyo/alpaca-lora-7b",
+    load_in_8bit=True,
+    torch_dtype=torch.float16,
+    device_map="auto",
+)

config.json

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+{
+  "_name_or_path": "decapoda-research/llama-7b-hf",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "bos_token_id": 0,
+  "eos_token_id": 1,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_sequence_length": 2048,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "pad_token_id": -1,
+  "rms_norm_eps": 1e-06,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.28.0.dev0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

generation_config.json

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+{
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+  "bos_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.28.0.dev0"
+}

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