FitMyLLM
Ant Group/Mixture of Experts

ALing 3.0 Tiny

Ling 3.0 Tiny is Ant Group's 7.9B MoE with 1.3B active. It stacks Kimi Delta Attention and MLA 3:1, so its KV cache stays small, and it supports thinking on or off. Ant reports 100–105 tok/s on a DGX Spark and 86–90 tok/s on an M4 Pro MacBook, both in FP8.

chatcodingreasoningmultilingualmathagentictool_use
7.89B
Parameters (1.3B active)
128K
Context length
6
Benchmarks
6
Quantizations
14K
HF downloads
Architecture
MoE
Released
2026-08-10
Layers
24
KV Heads
16
Head Dim
128
Family
other

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
Q4_K_M4.89
5.4 GB
5.3 + 0.1 KV
good
Q5_K_S5.57
6.1 GB
6.0 + 0.1 KV
good
Q5_K_M5.7
6.2 GB
6.1 + 0.1 KV
good
Q6_K6.56
7.0 GB
7.0 + 0.1 KV
excellent
Q8_08.5
9.0 GB
8.9 + 0.1 KV
lossless
FP1616
16.3 GB
16.3 + 0.1 KV
lossless

Select your GPU above to see speed estimates and compatibility for each quantization.

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Community Ratings

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Benchmarks (6)

GPQA Diamond73.4
AA Long Context60.3
Terminal-Bench 2.127.7
SciCode24.2
HLE9.3
Terminal-Bench 40.0

Run this model

▸Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run other:8b-q4_K_M

Tag may need adjustment — check ollama.com/library/other for available tags.

▸ SETUP GUIDE
>_

Auto-setup with fitmyllm CLI

Detects your GPU, recommends the best model, downloads it, and starts chatting — zero config. Benchmarks your speed and contributes anonymous data to improve predictions.

pip install fitmyllmthen run fitmyllmLearn more
Auto-detect GPULive tok/s in chatSpeed benchmarks9 inference engines

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

NVIDIA Tesla C2070
6 GB VRAM • 143 GB/s
NVIDIA
NVIDIA Tesla C2075
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla C2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla M2070
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2070-Q
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2075
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla X2070
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla X2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla K20X
6 GB VRAM • 250 GB/s
NVIDIA
NVIDIA Tesla K20Xm
6 GB VRAM • 250 GB/s
NVIDIA

Find the best GPU for Ling 3.0 Tiny

Build Hardware for Ling 3.0 Tiny
▸ SPEC SHEET

Ling 3.0 Tiny — 7.89B MoE.

▸ SPECIFICATIONS
PARAMETERS
7.89B (1.3B active)
ARCHITECTURE
Mixture of Experts
CONTEXT LENGTH
128K tokens
CAPABILITIES
chat, coding, reasoning, multilingual, math, agentic, tool_use
RELEASE DATE
2026-08-10
PROVIDER
Ant Group
FAMILY
other
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.895.3 GB94%
Q5_K_S5.576.0 GB96%
Q5_K_M5.76.1 GB96%
Q6_K6.567.0 GB97%
Q8_08.58.9 GB100%
FP161616.3 GB100%
§ 01BENCHMARK SCORES
GPQA Diamond73.4
HLE9.3
aa_scicode24.2
aa_lcr60.3
aa_terminal_bench_v227.7
aa_terminal_bench_v40.0
§ 03COMPATIBLE GPUs
30 @ Q4_K_M