Se00n00/TinyLM2-50M-IFT

TinyLM2-50M-Instruct

TinyLM2-50M-Instruct is a compact decoder-only Transformer language model designed for efficient instruction following and conversational AI. The model has approximately 50M parameters and has been fine-tuned using Supervised Fine-Tuning (SFT) on the UltraChat 200k instruction-response dataset to improve chat capabilities while maintaining a lightweight footprint suitable for local inference and resource-constrained environments.

Evaluation

All evaluations are zero-shot unless stated otherwise, and i used lm_eval to run them

Model Architecture & Hyperparameters

TinyLM2-50M-Instruct is built on a custom ALiBi Decoder-Only Transformer architecture with pre-normalization and gated feedforward networks:

Hyperparameter	Value	Description
Architecture	ALiBi Decoder-Only Transformer	Autoregressive Decoder-Only Transformer
Total Parameters	~50.96M (53,430,272)	Compact and ultra-fast for edge & local CPU/GPU
inference
vocab_size	50,271	Includes special chat tags (`<
hidden_size (d_model)	512	Model hidden dimension
intermediate_size (ff_hidden_d)	819	SwiGLU Gated Feedforward hidden dimension
num_hidden_layers	12	Number of Transformer block layers
num_attention_heads	8	Attention heads (Head dim = 64)
max_position_embeddings	2,048	Maximum context sequence length
Normalization	RMSNorm (eps=1e-8)	Scale normalization for accelerated throughput
Activation Function	SwiGLU (SiLU)	Gated Feedforward activation
Positional Encoding	ALiBi	Attention with Linear Biases
Tie Word Embeddings	True	Tied input embedding and LM head projection

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Tokenizer & Chat Template

The model uses a custom Byte-Level BPE Tokenizer equipped with special tokens and a pre-configured Jinja2 chat_template for multi-turn conversations.

Property	Value
Tokenizer Type	GPT2Tokenizer (Byte-Level BPE)
Vocabulary Size	50,271
Special Tokens	`<
Chat Control Tokens	`<
Extra Special Tokens	`<
Chat Template	Native Jinja2 support via tokenizer.apply_chat_template()

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Training Configuration

Parameter	Value
Pipeline Process	Supervised Instruction Fine-Tuning (SFT / IFT)
Dataset	HuggingFaceH4/ultrachat_200k (train_sft, ~207k examples)
Total Examples	~207k (4 epochs)
Learning Rate	6e-5
Learning Rate Schedule	Cosine (warmup_ratio=0.01)
Micro-Batch Size	2 per device
Gradient Accumulation	16 steps
Effective Batch Size	32 × 2,048 tokens
Optimizer	AdamW (weight_decay=0.1)
Max Sequence Length	2,048 tokens
Precision	float16
Hardware	NVIDIA Tesla T4 x 2 GPU

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Inference

# pip install torch transformers
                                                                             
import torch                                                                                            
from transformers import pipeline                                                                       
                                                                                                        
pipe = pipeline(                                                                                        
  "text-generation",                                                                                  
  model="Se00n00/TinyLM2-50M-Instruct",
  trust_remote_code = True                                                                            
)                                                                                                       
                                                                                                        
messages = [                                                                                            
  {"role": "system", "content": "You are a helpful AI assistant."},                                   
  {"role": "user", "content": "Explain artificial intelligence in simple terms."}                     
]                                                                                                       
                                                                                                        
prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)       
                                                                                                        
result = pipe(                                                                                          
  prompt,                                                                                             
  max_new_tokens=120,                                                                                 
  do_sample=True,                                                                                     
  temperature=0.5,                                                                                    
  top_k=40,                                                                                           
  top_p=0.9                                                                                           
)                                                                                                       
                                                                                                        
print(result[0]['generated_text'])                                                                  

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Sample Outputs

Chat-templated generation (temperature 0.8, top-p 0.9):

System: You are a helpful AI assistant

User: Write a short poem about the ocean.

The ocean is alive with life, As it floats in the waves, A vast expanse of vastness, A sight that cannot be matched, A wonderland that awakens, A place where the sun shines, The sea, it sets.

The ocean is a reminder of life, The endless ocean, a place of peace, A place where the sun shines, The ocean is a beacon of hope, A place where the ocean is alive …

System: You are a helpful AI assistant

User: Explain the concept of gravity to a child.

The concept of gravity to a child is an important aspect of the child's development. It is the foundation of their physical and mental health. When a child is in a state of gravity, they are not able to move or move objects, which can lead to mental health problems such as anxiety, depression, and depression.

The concept of gravity to a child is a crucial aspect of their development. It helps them to develop their mental health and develop their ability to control their own gravity.

One of the main benefits of gravity is that …