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Model: abubakaraabi786/tinyllama-peft-merged
Source: Original Platform

.gitattributes

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+*.arrow filter=lfs diff=lfs merge=lfs -text
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+*.pt filter=lfs diff=lfs merge=lfs -text
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+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+language: en
+license: apache-2.0
+library_name: transformers
+tags:
+- tinyllama
+- peft
+- merged
+- lora
+- fine-tuned
+- pytorch
+- text-generation
+base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
+datasets:
+- arif-butt/arifbutt_dataset
+pipeline_tag: text-generation
+---
+
+# 🦙 TinyLlama PEFT Merged
+
+> **A fully merged, production-ready TinyLlama model fine-tuned with PEFT LoRA**
+
+---
+
+## 📌 Quick Facts
+
+| Attribute | Value |
+|-----------|-------|
+| **Model Size** | 2.2 GB |
+| **Parameters** | 1.1 Billion |
+| **Format** | PyTorch Safetensors |
+| **Precision** | FP16 |
+| **Context** | 2048 tokens |
+| **Training Framework** | PEFT + TRL |
+| **Inference** | No PEFT required |
+
+---
+
+## 🚀 Quick Start
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+# One-liner to load
+tokenizer = AutoTokenizer.from_pretrained("arif-butt/tinyllama-peft-merged")
+model = AutoModelForCausalLM.from_pretrained(
+    "arif-butt/tinyllama-peft-merged",
+    torch_dtype=torch.float16,
+    device_map="auto"
+)
+
+# Generate
+prompt = "Q: What courses does Arif teach?\nA:"
+inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+outputs = model.generate(**inputs, max_new_tokens=100)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+
+📦 What's Inside
+tinyllama-peft-merged/
+├── model.safetensors      # 2.2 GB — merged weights
+├── config.json            # Model architecture
+├── generation_config.json # Default generation settings
+├── tokenizer.json         # Vocabulary (1.76 MB)
+├── tokenizer_config.json  # Tokenizer settings
+└── special_tokens_map.json # Special tokens
+
+No adapter files. No PEFT needed. Just load and go.
+
+
+🔧 Generation Settings
+outputs = model.generate(
+    **inputs,
+    max_new_tokens=150,
+    temperature=0.7,
+    top_p=0.95,
+    do_sample=True,
+    repetition_penalty=1.1,
+    pad_token_id=tokenizer.eos_token_id,
+)
+
+
+💬 Prompt Format
+Q: Your question here?
+A:
+Example:
+
+  Q: What is deep learning?
+A: Deep learning is a subset of machine learning...
+
+
+Q: What is Python?
+A: Python is a high-level, interpreted programming language known for its simple, readable syntax. It supports multiple programming paradigms including object-oriented, imperative, and functional programming.
+
+Q: Explain gradient descent
+A: Gradient descent is an optimization algorithm used to minimize the loss function in machine learning models. It works by iteratively moving parameters in the direction of the negative gradient.
+
+Q: Name Arif's courses
+A: Dr. Muhammad Arif Butt teaches Python Programming, Data Structures & Algorithms, Machine Learning, and Deep Learning courses.
+
+Epoch 1: ████████████████░░░░ 0.8
+Epoch 2: ████████████████████ 0.4
+Epoch 3: ████████████████████ 0.05

chat_template.jinja

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+{% for message in messages %}
+{% if message['role'] == 'user' %}
+{{ '<|user|>
+' + message['content'] + eos_token }}
+{% elif message['role'] == 'system' %}
+{{ '<|system|>
+' + message['content'] + eos_token }}
+{% elif message['role'] == 'assistant' %}
+{{ '<|assistant|>
+'  + message['content'] + eos_token }}
+{% endif %}
+{% if loop.last and add_generation_prompt %}
+{{ '<|assistant|>' }}
+{% endif %}
+{% endfor %}

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "dtype": "float16",
+  "eos_token_id": 2,
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 5632,
+  "max_position_embeddings": 2048,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 22,
+  "num_key_value_heads": 4,
+  "pad_token_id": null,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_parameters": {
+    "rope_theta": 10000.0,
+    "rope_type": "default"
+  },
+  "tie_word_embeddings": false,
+  "transformers_version": "5.0.0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

generation_config.json

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+{
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "max_length": 2048,
+  "pad_token_id": 0,
+  "transformers_version": "5.0.0"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c192c53ccc6761726d0268469bd3235c67e050b62f42f33629974d1a37267886
+size 2200119664

tokenizer_config.json

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+{
+  "backend": "tokenizers",
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "is_local": false,
+  "max_length": 512,
+  "model_max_length": 2048,
+  "pad_to_multiple_of": null,
+  "pad_token": "</s>",
+  "pad_token_type_id": 0,
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "stride": 0,
+  "tokenizer_class": "TokenizersBackend",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}