Add merged Falcon 7B model with LoRA weights and tokenizer, and README

README.md

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+
+---
+library_name: peft
+tags:
+  - falcon
+  - causal-lm
+  - text-generation
+license: apache-2.0
+inference: false
+---
+
+# Falcon 7B Tatts Merged Model
+
+## Model Description
+This model is a merged version of Falcon 7B with LoRA weights, designed for causal language modeling and text generation tasks.
+
+## Training procedure
+The following bitsandbytes quantization config was used during training:
+
+- `load_in_8bit`: False
+- `load_in_4bit`: True
+- `llm_int8_threshold`: 6.0
+- `llm_int8_skip_modules`: None
+- `llm_int8_enable_fp32_cpu_offload`: False
+- `llm_int8_has_fp16_weight`: False
+- `bnb_4bit_quant_type`: nf4
+- `bnb_4bit_use_double_quant`: False
+- `bnb_4bit_compute_dtype`: float16
+
+## Framework versions
+- PEFT 0.4.0

adapter_config.json

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+  "base_model_name_or_path": "tiiuae/falcon-7b-instruct",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
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+  "lora_alpha": 16,
+  "lora_dropout": 0.1,
+  "modules_to_save": null,
+  "peft_type": "LORA",
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+  ],
+  "task_type": "CAUSAL_LM"
+}

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+  "_name_or_path": "tiiuae/falcon-7b-instruct",
+  "alibi": false,
+  "apply_residual_connection_post_layernorm": false,
+  "architectures": [
+    "FalconForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "auto_map": {
+    "AutoConfig": "tiiuae/falcon-7b-instruct--configuration_falcon.FalconConfig",
+    "AutoModel": "tiiuae/falcon-7b-instruct--modeling_falcon.FalconModel",
+    "AutoModelForCausalLM": "tiiuae/falcon-7b-instruct--modeling_falcon.FalconForCausalLM",
+    "AutoModelForQuestionAnswering": "tiiuae/falcon-7b-instruct--modeling_falcon.FalconForQuestionAnswering",
+    "AutoModelForSequenceClassification": "tiiuae/falcon-7b-instruct--modeling_falcon.FalconForSequenceClassification",
+    "AutoModelForTokenClassification": "tiiuae/falcon-7b-instruct--modeling_falcon.FalconForTokenClassification"
+  },
+  "bias": false,
+  "bos_token_id": 11,
+  "eos_token_id": 11,
+  "hidden_dropout": 0.0,
+  "hidden_size": 4544,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "falcon",
+  "multi_query": true,
+  "new_decoder_architecture": false,
+  "num_attention_heads": 71,
+  "num_hidden_layers": 32,
+  "num_kv_heads": 71,
+  "parallel_attn": true,
+  "torch_dtype": "float16",
+  "transformers_version": "4.31.0",
+  "use_cache": true,
+  "vocab_size": 65024
+}

generation_config.json

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+  "eos_token_id": 11,
+  "transformers_version": "4.31.0"
+}

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+    "transformer.h.9.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
+    "transformer.ln_f.bias": "pytorch_model-00002-of-00002.bin",
+    "transformer.ln_f.weight": "pytorch_model-00002-of-00002.bin",
+    "transformer.word_embeddings.weight": "pytorch_model-00001-of-00002.bin"
+  }
+}

special_tokens_map.json

@@ -0,0 +1,17 @@
+{
+  "additional_special_tokens": [
+    ">>TITLE<<",
+    ">>ABSTRACT<<",
+    ">>INTRODUCTION<<",
+    ">>SUMMARY<<",
+    ">>COMMENT<<",
+    ">>ANSWER<<",
+    ">>QUESTION<<",
+    ">>DOMAIN<<",
+    ">>PREFIX<<",
+    ">>SUFFIX<<",
+    ">>MIDDLE<<"
+  ],
+  "eos_token": "<|endoftext|>",
+  "pad_token": "<|endoftext|>"
+}

tokenizer_config.json

@@ -0,0 +1,11 @@
+{
+  "add_prefix_space": false,
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|endoftext|>",
+  "model_input_names": [
+    "input_ids",
+    "attention_mask"
+  ],
+  "model_max_length": 2048,
+  "tokenizer_class": "PreTrainedTokenizerFast"
+}