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Simple-Stories-Hindi-10M-GGUF
SmallScale/Simple-Stories-Hindi-10M-GGUF
Simple-Stories-Hindi-10M-GGUF is a text generation model from SmallScale. Use it when you need the model to write or continue text. It is set up for gguf. The card lists the license as mit.
This repository contains the FP16 GGUF model file for SmallScale/Simple-Stories-Hindi-10M, a 11.45M parameter decoder-only Transformer model trained from scratch on the SmallScale/Simple-Stories-Hindi dataset (~2.11M…
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At a glance
- Task
- Text Generation
- Library
- gguf
- License
- mit
- Access
- Public
- Created
- Aug 3, 2026
- Updated
- Aug 3, 2026
- SHA
- 2b8db315
Base models
Datasets
Model card
From the Hugging Face model README
📖 Simple-Stories-Hindi-10M-GGUF (FP16)
This repository contains the FP16 GGUF model file for SmallScale/Simple-Stories-Hindi-10M, a 11.45M parameter decoder-only Transformer model trained from scratch on the SmallScale/Simple-Stories-Hindi dataset (~2.11M Hindi stories).
📌 Model Information & Base Model
- Base Model: SmallScale/Simple-Stories-Hindi-10M
- Dataset Used: SmallScale/Simple-Stories-Hindi (~2.11M simple Hindi stories)
- Best Validation Loss:
1.8157(at step 202,000)
📁 Model Files
| File Name | Quantization | Size | Description |
|---|---|---|---|
Simple-Stories-Hindi-11M-F16.gguf | F16 (16-bit Float) | ~22.0 MB | Full 16-bit float precision GGUF format |
🏗️ Model Architecture Details
| Parameter | Value |
|---|---|
| Parameters | 11.45M total (10.17M non-embedding) |
| Architecture | LLaMA-style (RoPE + SwiGLU + RMSNorm) |
| Context Length | 512 tokens |
Embedding Dim (d_model) | 320 |
| FFN Hidden Dim | 896 |
| Layers | 7 |
| Attention Heads | 5 |
| Vocabulary | 4,000 (SentencePiece Unigram) |
🚀 Quick Start / Usage
1. Using with llama.cpp CLI
./llama-cli -m Simple-Stories-Hindi-11M-F16.gguf \
-p "एक समय की बात है" \
-n 150 \
--temp 0.8 \
--top-k 40 \
--top-p 0.95
2. Using with llama-cpp-python
from llama_cpp import Llama
llm = Llama(
model_path="Simple-Stories-Hindi-11M-F16.gguf",
n_ctx=512,
verbose=False
)
output = llm(
"एक समय की बात है",
max_tokens=150,
temperature=0.8,
top_k=40,
top_p=0.95
)
print(output["choices"][0]["text"])
📄 License
MIT License
- Task
- Text Generation
- Library
- gguf
- License
- mit
- Languages
- hi
- Created
- Aug 3, 2026
- Updated
- Aug 3, 2026