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Model: Abiray/Sutra-Instruct-350M-GGUF Source: Original Platform
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README.md
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---
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language:
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- en
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license: mit
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base_model: Abhiray/Sutra-Instruct-350M
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tags:
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- gguf
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- llama.cpp
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- quantized
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- gpt2
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- sutra
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pipeline_tag: text-generation
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library_name: gguf
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---
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# Sutra-Instruct-350M-GGUF
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This repository contains the official GGUF quantizations of [**Sutra-Instruct-350M**](https://huggingface.co/Abhiray/Sutra-Instruct-350M), a 350-million parameter model trained entirely from scratch by Abhiray.
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The **Sutra** (सूत्र) series is designed to be a high-speed, rule-based instruction model. These GGUF versions are optimized for ultra-low latency inference on consumer-grade hardware, including CPUs and mobile devices.
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---
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## 📁 Available Quantizations
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| File Name | Quant Method | Size | Description |
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| :--- | :--- | :--- | :--- |
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| **sutra-fp16.gguf** | None (F16) | ~779 MB | Original weights. RECOMMENDED MOST Best for maximum quality and accuracy. |
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| **sutra-Q8_0.gguf** | Q8_0 | ~417 MB | Standard 8-bit. Near-lossless; RECOMMENDED for most users. |
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| **sutra-Q4_K_M.gguf** | Q4_K_M | ~258 MB | 4-bit Medium. Its for just testing not recommended much. |
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---
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## 🚀 Quick Start (Inference)
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### 1. Using llama.cpp
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Run the model directly from your terminal using `llama-cli`:
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```bash
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./llama-cli -m sutra-Q8_0.gguf -p "Instruction: What is the law of gravity?\n\nResponse:" -n 400 --temp 0.55 --repeat-penalty 1.2
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```
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### 2. Using Ollama (Plug-and-Play)
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To use this with Ollama, create a file named Modelfile with the following content:
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FROM ./sutra-Q8_0.gguf
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TEMPLATE """Instruction:
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{{ .Prompt }}
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Response:
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"""
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PARAMETER stop "Instruction:"
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PARAMETER stop "\nInstruction:"
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PARAMETER temperature 0.55
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PARAMETER repeat_penalty 1.2
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PARAMETER top_k 50
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PARAMETER num_predict 512
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Then, initialize and run the model:
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ollama create sutra -f Modelfile
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ollama run sutra
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⚙️ Optimized Settings
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To prevent the model from looping or hallucinating, we strongly recommend these inference parameters:
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Temperature: 0.55
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Repeat Penalty: 1.2
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Top-K: 50
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Max Tokens: 512
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sutra-Q4_K_M.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:2559e4d948f287597950fbe189cffaebad00946aab634e0afccd1595b6e47756
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size 271073888
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sutra-Q8_0.gguf
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sutra-Q8_0.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:deb5c9f864345b4a33034163fb35a2c63024a2925cb03c77397ed356f615bc4c
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size 437591648
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sutra-fp16.gguf
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sutra-fp16.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:5db35d6645ad8df12325b4f6948eda7bb6449de4521c3c5aae04a301cf9c49ad
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size 817290848
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