commit b5f3707d83df22376407ec3446b8b01ca6df18db
Author: ModelHub XC <noreply@modelhub.org.cn>
Date:   Sat Apr 11 05:40:55 2026 +0800

    初始化项目，由ModelHub XC社区提供模型
    
    Model: gss1147/Llama-3.2-OctoThinker-iNano-1B-GGUF
    Source: Original Platform

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+---
+license: other
+library_name: gguf
+tags:
+  - gguf
+  - llama
+  - llama-3.2
+  - text-generation
+  - local-llm
+  - llama-cpp
+  - lm-studio
+  - ollama
+  - 1b
+pipeline_tag: text-generation
+language:
+  - en
+base_model_relation: quantized
+base_model:
+  - gss1147/Llama-3.2-OctoThinker-iNano-1B
+---
+
+# Llama-3.2-OctoThinker-iNano-1B-GGUF
+
+## Model Summary
+
+**Llama-3.2-OctoThinker-iNano-1B-GGUF** is the GGUF quantized release of the main model:
+
+**Main model repo:**  
+https://huggingface.co/gss1147/Llama-3.2-OctoThinker-iNano-1B
+
+This repository packages the model for efficient **local inference** in GGUF-compatible runtimes such as **llama.cpp**, **LM Studio**, and similar local tools.
+
+## GGUF to Main Model Link
+
+This GGUF repository corresponds to the main model repo:
+
+**[`gss1147/Llama-3.2-OctoThinker-iNano-1B`](https://huggingface.co/gss1147/Llama-3.2-OctoThinker-iNano-1B)**
+
+If you want the original non-GGUF model, training/merge details, tokenizer files, and main repository metadata, use the repo above.
+
+## Available Files
+
+This GGUF repository currently includes:
+
+- **Q4_K_M** — 955 MB
+- **Q5_K_M** — 1.09 GB
+- **F16** — 3 GB
+
+## Architecture
+
+- **Architecture:** llama
+- **Model size:** 1B params
+
+## Intended Use
+
+This model is intended for:
+
+- local text generation
+- assistant-style prompting
+- lightweight reasoning tasks
+- summarization
+- simple coding help
+- offline/local inference workflows
+
+## Quantization Notes
+
+Choose the file that best matches your hardware:
+
+- **Q4_K_M** for smaller size and lighter RAM usage
+- **Q5_K_M** for a stronger quality-to-size balance
+- **F16** for the highest-fidelity file in this repo, with much higher memory requirements
+
+## Example llama.cpp Usage
+
+```bash
+llama-cli -m /path/to/Llama-3.2-OctoThinker-iNano-1B.Q4_K_M.gguf -p "Explain recursion in Python with a simple example."
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