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Llama-3.2-OctoThinker-iNano…/README.md
ModelHub XC b5f3707d83 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
2026-04-11 05:40:55 +08:00

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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."