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Llama 3.2 1B

旧版
8.3M下载量1.4K点赞Sep 2024发布日期128K tokens上下文Community许可证14 入门质量

Llama 3.2 1B (1B parameters) requires approximately 2.9 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 4 GB of VRAM.

快速开始

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Copy-paste commands to run Llama 3.2 1B on your machine.

Run

ollama run llama3.2:1b

Quick specs

Parameters1B
Architecturedense
Context128K tokens
Modalitytext
Min RAM0.4 GB
Rec. RAM0.6 GB (Q4_K_M)
LicenseCommunity
FamilyLlama
Chat

About this model

Llama 3.2 1B is Meta's smallest text model designed for on-device inference. Optimized for multilingual text generation, summarization, and instruction following on resource-constrained hardware.

相关模型

你的硬件

检测中...

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最佳硬件

Llama 3.2 1B 的最佳选择

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量化选项

各量化级别的 VRAM 估算

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
0.4 GB
Low
Q3_K_S
3
0.5 GB
Low
NVFP4
4
0.6 GB
Medium
Q4_K_M
4
0.6 GB
Medium
Q5_K_M
5
0.7 GB
High
Q6_K
6
0.8 GB
High
Q8_0
8
1.1 GB
Very High
F16
16
2.1 GB
Maximum

Quality benchmarks

Llama 3.2 1B benchmark scores

Benchmark verified

Reasoning

MMLU-Pro7.6%
GPQA Diamond27.2%
MATH-50030.6%
ARC Challenge59.4%

General

Chatbot Arena
IFEval59.5%

Source: official · 2024-09-25

硬件兼容性

全部硬件的适配估算

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Computing compatibility...

内存详细分析

Reference: RTX 2060 6GB

Weights0.6 GB
KV Cache0.5 GB
Runtime1.2 GB
Headroom0.6 GB

常见问题

FAQ — Llama 3.2 1B

另请参阅