Aya 23 8B

8B

Cohere For AI

Multilingual specialist covering 23 languages. Strong for non-English local apps.

⬇ 1.0K HF downloads♥ 56 likesbartowski/aya-23-8B-GGUF· stats from 8/8/2026
Consumer GPUMac / Apple SiliconCPU / VPS

8K

Max Context

2

Quant Variants

GGUF Q4_K_M

Best Quality

96.8%

Accuracy Retained

Calculate VRAMHugging FaceCompare

Quantization Variants

Per-quant VRAM, quality loss, and inference speed on RTX 4090

Measured = site benchmarks · Estimated = formula · Community = public reports

FormatLevelBPWVRAMPPL LossSpeedSourceActions
GGUFQ4_K_M4.855.7 GB3.2%145 tok/sEstimated
CalcHF
AWQINT445.0 GB4.6%205 tok/sEstimated
CalcHF

Similar models

Compare with Llama 3.1
8B

Llama 3.1 8B Instruct

Meta Llama 3.1

Consumer GPUMac / Apple Silicon
3.2 GBmin VRAM·99.9%accuracy

Meta's flagship 8B model with 128K context. Best-in-class for local deployment.

7B

Qwen2.5 7B Instruct

Alibaba Qwen2.5

Consumer GPUMac / Apple Silicon
4.8 GBmin VRAM·99.3%accuracy

Alibaba's highly optimized 7B. Punches well above its weight, especially in coding.

3.8B

Phi-3.5 Mini Instruct

Microsoft Phi

Consumer GPUMac / Apple Silicon
2.5 GBmin VRAM·99.8%accuracy

Microsoft's tiny powerhouse. Best 4B model for on-device deployment.

8B

Nous Hermes 3 Llama 3.1 8B

NousResearch

Consumer GPUMac / Apple Silicon
5.4 GBmin VRAM·97.7%accuracy

Fine-tuned Llama 3.1 8B with improved roleplay and instruction following.