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Model: hitonet/hito-1.7b-GGUF Source: Original Platform
2026-08-24 21:53:17 +08:00
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+---
+license: apache-2.0
+language:
+- en
+tags:
+- qwen3
+- fine-tuned
+- hito
+- hitonet
+- reasoning
+- thinking
+- llama-cpp
+- ollama
+- conversational
+- gguf
+pipeline_tag: text-generation
+base_model: hitonet/hito-1.7b
+---
+
+<div align="center">
+
+# Hito 1.7B - GGUF
+
+### Quantized versions for llama.cpp, Ollama, LM Studio, and more
+
+[![Original Model](https://img.shields.io/badge/Original_Model-ff6b35?style=for-the-badge)](https://huggingface.co/hitonet/hito-1.7b)
+[![Website](https://img.shields.io/badge/hitonet.com-000000?style=for-the-badge&logo=globe&logoColor=white)](https://hitonet.com)
+[![Chat](https://img.shields.io/badge/Try_Free_Chat-22c55e?style=for-the-badge&logo=chatbot&logoColor=white)](https://chat.hitonet.com)
+[![API](https://img.shields.io/badge/API_Platform-3b82f6?style=for-the-badge&logo=swagger&logoColor=white)](https://platform.hitonet.com)
+
+---
+
+<img src="https://img.shields.io/badge/Model_Weights-Apache_2.0_(Open)-green?style=flat-square" alt="Model License"/>
+<img src="https://img.shields.io/badge/Training_Method-Commercial_License_Required-red?style=flat-square" alt="Method License"/>
+
+</div>
+
+---
+
+## About
+
+This repository contains **GGUF quantized versions** of [hitonet/hito-1.7b](https://huggingface.co/hitonet/hito-1.7b).
+
+Hito is a 1.7B parameter model with structured thinking patterns that enable better accuracy and transparency.
+
+For the original model (safetensors), training details, benchmarks, and full documentation, see the [main repository](https://huggingface.co/hitonet/hito-1.7b).
+
+---
+
+## Available Quantizations
+
+### Recommended
+
+| File | Quant | Size | Quality | Notes |
+|------|-------|------|---------|-------|
+| **[hito-1.7b-Q4_K_M.gguf](https://huggingface.co/hitonet/hito-1.7b-GGUF/resolve/main/hito-1.7b-Q4_K_M.gguf)** | Q4_K_M | 1.1 GB | **BEST** | Perfect balance of size and quality |
+| [hito-1.7b-Q5_K_M.gguf](https://huggingface.co/hitonet/hito-1.7b-GGUF/resolve/main/hito-1.7b-Q5_K_M.gguf) | Q5_K_M | 1.2 GB | Excellent | Slightly better than Q4_K_M |
+| [hito-1.7b-Q8_0.gguf](https://huggingface.co/hitonet/hito-1.7b-GGUF/resolve/main/hito-1.7b-Q8_0.gguf) | Q8_0 | 1.8 GB | Excellent | Highest quality quantization |
+
+### Good Quality
+
+| File | Quant | Size | Quality | Notes |
+|------|-------|------|---------|-------|
+| [hito-1.7b-Q4_0.gguf](https://huggingface.co/hitonet/hito-1.7b-GGUF/resolve/main/hito-1.7b-Q4_0.gguf) | Q4_0 | 1.0 GB | Good | Legacy format, works well |
+| [hito-1.7b-Q4_K_S.gguf](https://huggingface.co/hitonet/hito-1.7b-GGUF/resolve/main/hito-1.7b-Q4_K_S.gguf) | Q4_K_S | 1.0 GB | Good | Smaller Q4 variant |
+| [hito-1.7b-Q5_0.gguf](https://huggingface.co/hitonet/hito-1.7b-GGUF/resolve/main/hito-1.7b-Q5_0.gguf) | Q5_0 | 1.2 GB | Good | Legacy 5-bit |
+| [hito-1.7b-Q5_K_S.gguf](https://huggingface.co/hitonet/hito-1.7b-GGUF/resolve/main/hito-1.7b-Q5_K_S.gguf) | Q5_K_S | 1.2 GB | Good | Smaller Q5 variant |
+| [hito-1.7b-Q6_K.gguf](https://huggingface.co/hitonet/hito-1.7b-GGUF/resolve/main/hito-1.7b-Q6_K.gguf) | Q6_K | 1.4 GB | Excellent | Near full quality |
+| [hito-1.7b-F16.gguf](https://huggingface.co/hitonet/hito-1.7b-GGUF/resolve/main/hito-1.7b-F16.gguf) | F16 | 3.3 GB | Reference | Full precision GGUF |
+
+### Low Quality (Not Recommended)
+
+| File | Quant | Size | Quality | Notes |
+|------|-------|------|---------|-------|
+| [hito-1.7b-Q3_K_L.gguf](https://huggingface.co/hitonet/hito-1.7b-GGUF/resolve/main/hito-1.7b-Q3_K_L.gguf) | Q3_K_L | 957 MB | Fair | May get stuck in thinking |
+| [hito-1.7b-Q3_K_M.gguf](https://huggingface.co/hitonet/hito-1.7b-GGUF/resolve/main/hito-1.7b-Q3_K_M.gguf) | Q3_K_M | 896 MB | Fair | Occasional issues |
+| [hito-1.7b-Q3_K_S.gguf](https://huggingface.co/hitonet/hito-1.7b-GGUF/resolve/main/hito-1.7b-Q3_K_S.gguf) | Q3_K_S | 827 MB | Fair | Noticeable quality loss |
+
+### Broken (Do Not Use)
+
+| File | Quant | Size | Quality | Notes |
+|------|-------|------|---------|-------|
+| [hito-1.7b-Q2_K.gguf](https://huggingface.co/hitonet/hito-1.7b-GGUF/resolve/main/hito-1.7b-Q2_K.gguf) | Q2_K | 742 MB | Broken | Produces gibberish |
+
+---
+
+## Quick Start
+
+### Ollama
+
+```bash
+# Download the recommended quantization
+wget https://huggingface.co/hitonet/hito-1.7b-GGUF/resolve/main/hito-1.7b-Q4_K_M.gguf
+
+# Create Modelfile
+cat > Modelfile << 'EOF'
+FROM hito-1.7b-Q4_K_M.gguf
+SYSTEM "You are Hito by Hitonet.com."
+PARAMETER temperature 0.7
+PARAMETER stop "<|im_end|>"
+EOF
+
+# Create and run
+ollama create hito -f Modelfile
+ollama run hito
+```
+
+### llama.cpp
+
+```bash
+./llama-cli -m hito-1.7b-Q4_K_M.gguf \
+  -sys "You are Hito by Hitonet.com." \
+  -p "What is your name?" \
+  -n 256
+```
+
+### LM Studio
+
+1. Download any GGUF file from this repository
+2. Open LM Studio → Load Model
+3. Set system prompt: `You are Hito by Hitonet.com.`
+4. Start chatting!
+
+---
+
+## Compatibility
+
+These GGUF files work with:
+
+- **Ollama** (recommended)
+- **llama.cpp**
+- **LM Studio**
+- **Jan**
+- **GPT4All**
+- **llama-cpp-python**
+- Any llama.cpp-compatible application
+
+---
+
+## What Makes Hito Special
+
+- **Structured Thinking**: Uses `<think>` tags for transparent reasoning
+- **Self-Correcting**: Catches errors mid-reasoning  
+- **Humble by Design**: Admits uncertainty rather than hallucinating
+- **Efficient**: Only 1.7B parameters, runs on CPU
+
+For full documentation, benchmarks, and training details, see the [main repository](https://huggingface.co/hitonet/hito-1.7b).
+
+---
+
+## Licensing
+
+| Component | License | Commercial Use |
+|-----------|---------|----------------|
+| **Model Weights** | Apache 2.0 | ✅ Free to use |
+| **Training Methodology** | Proprietary | ⚠️ **Commercial License Required** |
+
+### Model Weights (Apache 2.0)
+The model weights are open source under Apache 2.0. You may use, modify, and distribute them freely.
+
+### Training Methodology (Commercial License Required)
+The training methodology and cognitive framework used to create this model are proprietary to Hitonet.
+
+**Commercial use of the training methodology requires a license.**
+
+**Attribution is mandatory** when using this model or discussing its capabilities.
+
+For commercial licensing inquiries: **legal@hitonet.com**
+
+---
+
+<div align="center">
+<b>Made with genuine curiosity by Hitonet</b>
+</div>