gguf llama facebook meta pytorch llama-3 text-generation en de fr it pt hi es th base_model:meta-llama/Llama-3.2-3B-Instruct base_model:quantized:meta-llama/Llama-3.2-3B-Instruct license:llama3.2 endpoints_compatible region:us conversational
---
base_model:
- meta-llama/Llama-3.2-3B-Instruct
language:
- en
- de
- fr
- it
- pt
- hi
- es
- th
license: llama3.2
pipeline_tag: text-generation
tags:
- facebook
- meta
- pytorch
- llama
- llama-3
---


![image/png](https://cdn-uploads.huggingface.co/production/uploads/64a28db2f1968b7d7f357182/MWbE_500bIfv3diImTTeP.png)
This model was quantized by [SanctumAI](https://sanctum.ai). To leave feedback, join our community in [Discord](https://discord.gg/7ZNE78HJKh).*

# Llama 3.2 3B Instruct GGUF

**Model creator:** [meta-llama](https://huggingface.co/meta-llama)<br>
**Original model**: [Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct)<br>

## Model Summary:

The Meta Llama 3.2 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction-tuned generative models in 1B and 3B sizes (text in/text out). The Llama 3.2 instruction-tuned text only models are optimized for multilingual dialogue use cases, including agentic retrieval and summarization tasks. They outperform many of the available open source and closed chat models on common industry benchmarks.

## Prompt Template:

If you're using Sanctum app, simply use `Llama 3` model preset.

Prompt template:

```
<|begin_of_text|><|start_header_id|>system<|end_header_id|>

{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>

{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>

```

## Hardware Requirements Estimate

| Name | Quant method | Size | Memory (RAM, vRAM) required |
| ---- | ---- | ---- | ---- |
| [llama-3.2-3b-instruct.Q2_K.gguf](https://huggingface.co/SanctumAI/Llama-3.2-3B-Instruct-GGUF/blob/main/llama-3.2-3b-instruct.Q2_K.gguf) | Q2_K | 1.36 GB | 4.66 GB |
| [llama-3.2-3b-instruct.Q3_K_S.gguf](https://huggingface.co/SanctumAI/Llama-3.2-3B-Instruct-GGUF/blob/main/llama-3.2-3b-instruct.Q3_K_S.gguf) | Q3_K_S | 1.54 GB | 4.83 GB |
| [llama-3.2-3b-instruct.Q3_K_M.gguf](https://huggingface.co/SanctumAI/Llama-3.2-3B-Instruct-GGUF/blob/main/llama-3.2-3b-instruct.Q3_K_M.gguf) | Q3_K_M | 1.69 GB | 4.96 GB |
| [llama-3.2-3b-instruct.Q3_K_L.gguf](https://huggingface.co/SanctumAI/Llama-3.2-3B-Instruct-GGUF/blob/main/llama-3.2-3b-instruct.Q3_K_L.gguf) | Q3_K_L | 1.82 GB | 5.08 GB |
| [llama-3.2-3b-instruct.Q4_0.gguf](https://huggingface.co/SanctumAI/Llama-3.2-3B-Instruct-GGUF/blob/main/llama-3.2-3b-instruct.Q4_0.gguf) | Q4_0 | 1.92 GB | 5.17 GB |
| [llama-3.2-3b-instruct.Q4_K_S.gguf](https://huggingface.co/SanctumAI/Llama-3.2-3B-Instruct-GGUF/blob/main/llama-3.2-3b-instruct.Q4_K_S.gguf) | Q4_K_S | 1.93 GB | 5.18 GB |
| [llama-3.2-3b-instruct.Q4_K_M.gguf](https://huggingface.co/SanctumAI/Llama-3.2-3B-Instruct-GGUF/blob/main/llama-3.2-3b-instruct.Q4_K_M.gguf) | Q4_K_M | 2.02 GB | 5.27 GB |
| [llama-3.2-3b-instruct.Q4_K.gguf](https://huggingface.co/SanctumAI/Llama-3.2-3B-Instruct-GGUF/blob/main/llama-3.2-3b-instruct.Q4_K.gguf) | Q4_K | 2.02 GB | 5.27 GB |
| [llama-3.2-3b-instruct.Q4_1.gguf](https://huggingface.co/SanctumAI/Llama-3.2-3B-Instruct-GGUF/blob/main/llama-3.2-3b-instruct.Q4_1.gguf) | Q4_1 | 2.09 GB | 5.34 GB |
| [llama-3.2-3b-instruct.Q5_0.gguf](https://huggingface.co/SanctumAI/Llama-3.2-3B-Instruct-GGUF/blob/main/llama-3.2-3b-instruct.Q5_0.gguf) | Q5_0 | 2.27 GB | 5.50 GB |
| [llama-3.2-3b-instruct.Q5_K_S.gguf](https://huggingface.co/SanctumAI/Llama-3.2-3B-Instruct-GGUF/blob/main/llama-3.2-3b-instruct.Q5_K_S.gguf) | Q5_K_S | 2.27 GB | 5.50 GB |
| [llama-3.2-3b-instruct.Q5_K_M.gguf](https://huggingface.co/SanctumAI/Llama-3.2-3B-Instruct-GGUF/blob/main/llama-3.2-3b-instruct.Q5_K_M.gguf) | Q5_K_M | 2.32 GB | 5.55 GB |
| [llama-3.2-3b-instruct.Q5_K.gguf](https://huggingface.co/SanctumAI/Llama-3.2-3B-Instruct-GGUF/blob/main/llama-3.2-3b-instruct.Q5_K.gguf) | Q5_K | 2.32 GB | 5.55 GB |
| [llama-3.2-3b-instruct.Q5_1.gguf](https://huggingface.co/SanctumAI/Llama-3.2-3B-Instruct-GGUF/blob/main/llama-3.2-3b-instruct.Q5_1.gguf) | Q5_1 | 2.45 GB | 5.67 GB |
| [llama-3.2-3b-instruct.Q6_K.gguf](https://huggingface.co/SanctumAI/Llama-3.2-3B-Instruct-GGUF/blob/main/llama-3.2-3b-instruct.Q6_K.gguf) | Q6_K | 2.64 GB | 5.85 GB |
| [llama-3.2-3b-instruct.Q8_0.gguf](https://huggingface.co/SanctumAI/Llama-3.2-3B-Instruct-GGUF/blob/main/llama-3.2-3b-instruct.Q8_0.gguf) | Q8_0 | 3.42 GB | 6.58 GB |
| [llama-3.2-3b-instruct.f16.gguf](https://huggingface.co/SanctumAI/Llama-3.2-3B-Instruct-GGUF/blob/main/llama-3.2-3b-instruct.f16.gguf) | f16 | 6.43 GB | 9.38 GB |
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