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.gitattributes

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+model.safetensors filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: mit
+datasets:
+- Cynaptics/persona-chat
+- rizalHidayat/bot-dialog
+language:
+- en
+metrics:
+- accuracy
+base_model:
+- distilbert/distilgpt2
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- llm
+- text-generation-inference
+---
+
+# ✨DarkNeuron-AI/darkneuron-chat-v1.1
+**DarkNeuron-Chat v1.1** is a chatbot designed for basic, friendly conversations. It provides clear and concise responses and is suitable for general use.
+
+---
+
+## 👍Model Overview
+- **Model type:** GPT-based causal language model  
+- **Purpose:** Basic conversational chatbot  
+- **Training data:** Fine-tuned on [Persona-Chat](https://huggingface.co/datasets/Cynaptics/persona-chat) and [Bot-Dialog](https://huggingface.co/datasets/rizalHidayat/bot-dialog) datasets  
+- **Intended audience:** General users, students, hobbyists, and researchers interested in chatbot interactions  
+
+---
+
+## 🌟Installation
+Install the latest version of Transformers:
+
+```bash
+!pip install --upgrade transformers torch
+```
+
+--- 
+
+## 👽Example Usage
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
+import torch, gc
+
+# Load tokenizer and model
+model_name = "DarkNeuron-AI/darkneuron-chat-v1.1"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+# Use GPU if available
+device = 0 if torch.cuda.is_available() else -1
+
+# Create chatbot pipeline
+chatbot = pipeline(
+    "text-generation",
+    model=model,
+    tokenizer=tokenizer,
+    device=device,
+    return_full_text=False
+)
+
+# Optional: Free GPU memory
+gc.collect()
+torch.cuda.empty_cache()
+
+# Interactive chat loop
+print("Chatbot ready! Type 'exit' or 'quit' to stop.\n")
+
+while True:
+    user_input = input("User: ")
+    if user_input.lower() in ["exit", "quit"]:
+        print("Chat ended.")
+        break
+
+    prompt = f"User: {user_input}\nBot:"
+    response = chatbot(
+        prompt,
+        max_length=100,
+        do_sample=True,
+        temperature=0.7,
+        top_p=0.9,
+        num_return_sequences=1
+    )
+    print(response[0]["generated_text"])
+```
+
+# Developed With ❤️ By DarkNeuronAI

config.json

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+{
+  "_num_labels": 1,
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50256,
+  "dtype": "float32",
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50256,
+  "id2label": {
+    "0": "LABEL_0"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "LABEL_0": 0
+  },
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 1024,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": null,
+  "n_layer": 6,
+  "n_positions": 1024,
+  "pad_token_id": 50256,
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "task_specific_params": {
+    "text-generation": {
+      "do_sample": true,
+      "max_length": 50
+    }
+  },
+  "transformers_version": "4.57.1",
+  "use_cache": true,
+  "vocab_size": 50257
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.57.1"
+}

gitattributes

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model.safetensors

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special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
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+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "50256": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "extra_special_tokens": {},
+  "max_length": 64,
+  "model_max_length": 1024,
+  "pad_to_multiple_of": null,
+  "pad_token": "<|endoftext|>",
+  "pad_token_type_id": 0,
+  "padding_side": "right",
+  "stride": 0,
+  "tokenizer_class": "GPT2Tokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "<|endoftext|>"
+}