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README.md
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base_model: hitonet/hito-1.7b
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# Hito 1.7B - GGUF
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### Quantized versions for llama.cpp, Ollama, LM Studio, and more
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</p>
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---
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Hito is a 1.7B parameter model with **Nested Cognitive Reasoning** - structured, self-correcting thinking patterns that enable better accuracy and transparency.
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---
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##
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### β Recommended
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| File | Quant | Size | Quality | Notes |
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|------|-------|------|---------|-------|
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| **[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 | β **
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| [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 | β Excellent | Slightly better
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| [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 | β Excellent | Highest quality quantization |
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### β
Good Quality
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| File | Quant | Size | Quality |
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| [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 | β
Good |
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| [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 | β
Good |
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| [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 | β
Good |
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| [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 | β
Good |
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| [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 | β
Excellent |
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| [hito-1.7b-F16.gguf](https://huggingface.co/hitonet/hito-1.7b-GGUF/resolve/main/hito-1.7b-F16.gguf) | F16 | 3.3 GB | β
Reference |
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### β οΈ
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| File | Quant | Size | Quality |
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| [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 | β οΈ Fair |
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| [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 | β οΈ Fair |
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| [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 | β οΈ Fair |
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### β Not
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| [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 | β
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---
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./llama-cli -m hito-1.7b-Q4_K_M.gguf \
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-sys "You are Hito by Hitonet.com." \
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-p "What is your name?" \
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-n 256
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```
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### LM Studio
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---
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- **Website:** [hitonet.com](https://hitonet.com)
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- **Chat:** [chat.hitonet.com](https://chat.hitonet.com)
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- **API:** [platform.hitonet.com](https://platform.hitonet.com)
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---
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<p align="center">
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<b>Made with genuine curiosity by Hitonet</b>
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</p>
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base_model: hitonet/hito-1.7b
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---
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<div align="center">
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# Hito 1.7B - GGUF
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### Quantized versions for llama.cpp, Ollama, LM Studio, and more
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[](https://huggingface.co/hitonet/hito-1.7b)
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[](https://hitonet.com)
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[](https://chat.hitonet.com)
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[](https://platform.hitonet.com)
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---
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<img src="https://img.shields.io/badge/Model_Weights-Apache_2.0_(Open)-green?style=flat-square" alt="Model License"/>
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<img src="https://img.shields.io/badge/NCR_Method-CC_BY--NC--ND_(Commercial_License_Required)-red?style=flat-square" alt="Method License"/>
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</div>
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---
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Hito is a 1.7B parameter model with **Nested Cognitive Reasoning** - structured, self-correcting thinking patterns that enable better accuracy and transparency.
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For the original model (safetensors), training details, benchmarks, and full documentation, see the [main repository](https://huggingface.co/hitonet/hito-1.7b).
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---
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## Available Quantizations
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### β Recommended
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| File | Quant | Size | Quality | Notes |
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|------|-------|------|---------|-------|
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| **[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 | β **BEST** | Perfect balance of size and quality |
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| [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 | β Excellent | Slightly better than Q4_K_M |
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| [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 | β Excellent | Highest quality quantization |
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### β
Good Quality
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| File | Quant | Size | Quality | Notes |
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| [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 | β
Good | Legacy format, works well |
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| [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 | β
Good | Smaller Q4 variant |
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| [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 | β
Good | Legacy 5-bit |
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| [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 | β
Good | Smaller Q5 variant |
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| [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 | β
Excellent | Near full quality |
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| [hito-1.7b-F16.gguf](https://huggingface.co/hitonet/hito-1.7b-GGUF/resolve/main/hito-1.7b-F16.gguf) | F16 | 3.3 GB | β
Reference | Full precision GGUF |
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### β οΈ Low Quality (Not Recommended)
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| File | Quant | Size | Quality | Notes |
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|------|-------|------|---------|-------|
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| [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 | β οΈ Fair | May get stuck in thinking |
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| [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 | β οΈ Fair | Occasional issues |
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| [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 | β οΈ Fair | Noticeable quality loss |
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### β Broken (Do Not Use)
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| File | Quant | Size | Quality | Notes |
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| [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 | β Broken | Produces gibberish |
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---
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./llama-cli -m hito-1.7b-Q4_K_M.gguf \
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-sys "You are Hito by Hitonet.com." \
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-p "What is your name?" \
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-n 256
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```
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### LM Studio
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<div align="center">
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<b>Made with genuine curiosity by Hitonet</b>
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</div>
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