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TinyLlamaTinyLlama

TinyLlama 1.1B

Legado
2.3MDownloads1.6KCurtidasDec 2023Publicado4K tokensContextoApache 2.0Licença30 BásicoQualidade

TinyLlama 1.1B (1.100000023841858B parameters) requires approximately 2.8 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.

Comece agora

— copie e cole para rodar localmente

Copy-paste commands to run TinyLlama 1.1B on your machine.

Run

ollama run tinyllama

Quick specs

Parameters1.1B
Architecturedense
Context4K tokens
Modalitytext
Min RAM0.4 GB
Rec. RAM0.7 GB (Q4_K_M)
LicenseApache 2.0
FamilyTinyLlama
Chat

About this model

The TinyLlama project aims to pretrain a 1.1B Llama model on 3 trillion tokens. With some proper optimization, we can achieve this within a span of "just" 90 days using 16 A100-40G GPUs 🚀🚀. The training has started on 2023-09-01.

Seu hardware

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Melhores opções para TinyLlama 1.1B

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Opções de quantização

Estimativas de VRAM por nível de quantização

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
0.7 GB
Medium
Q5_K_M
5
0.8 GB
High
Q6_K
6
0.9 GB
High
Q8_0
8
1.2 GB
Very High
F16
16
2.3 GB
Maximum

Quality benchmarks

TinyLlama 1.1B benchmark scores

Benchmark verified

Reasoning

MMLU-Pro1.1%
GPQA Diamond
MATH-5001.5%
ARC Challenge33.9%

General

Chatbot Arena
IFEval6.0%

Source: community · 2024-01-08

Compatibilidade de hardware

Estimativas de compatibilidade para todo o hardware

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Computing compatibility...

Detalhamento de memória

Reference: RTX 2060 6GB

Weights0.7 GB
KV Cache0.3 GB
Runtime1.2 GB
Headroom0.6 GB

Perguntas frequentes

FAQ — TinyLlama 1.1B

Veja também