Cohere
Aya Expanse 8B
当前
39.4K下载量431点赞Oct 2024发布日期8K tokens上下文CC-BY-NC-4.0许可证8 入门质量
Aya Expanse 8B (8B parameters) requires approximately 8.3 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 10 GB of VRAM.
快速开始
— 复制粘贴即可本地运行Copy-paste commands to run Aya Expanse 8B on your machine.
Run
docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
--hf-repo "CohereForAI/aya-expanse-8b" \
--hf-file "aya-expanse-8b-Q4_K_M.gguf" \
-c 4096 -ngl 99Quick specs
Parameters8B
Architecturedense
Context8K tokens
Modalitytext
Min RAM3.1 GB
Rec. RAM4.9 GB (Q4_K_M)
LicenseCC-BY-NC-4.0
FamilyAya
✓ Chat
About this model
相关模型
快速推荐
最佳硬件
Aya Expanse 8B 的最佳选择
运行此模型
量化选项
各量化级别的 VRAM 估算
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.1 GB | Low | — |
Q3_K_S | 3 | 3.9 GB | Low | — |
NVFP4 | 4 | 4.5 GB | Medium | — |
Q4_K_M | 4 | 4.9 GB | Medium | — |
Q5_K_M | 5 | 5.8 GB | High | — |
Q6_K | 6 | 6.6 GB | High | — |
Q8_0 | 8 | 8.6 GB | Very High | — |
F16 | 16 | 16.4 GB | Maximum | — |
Quality benchmarks
Aya Expanse 8B benchmark scores
Reasoning
MMLU-Pro22.3%
GPQA Diamond7.0%
MATH-5008.6%
ARC Challenge—
General
Chatbot Arena—
IFEval63.6%
Source: community · 2025-01-01
硬件兼容性
全部硬件的适配估算
Computing compatibility...
内存详细分析
Reference: RTX 2060 6GB
Weights4.9 GB
KV Cache2.0 GB
Runtime0.9 GB
Headroom0.6 GB
常见问题
FAQ — Aya Expanse 8B
另请参阅