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All estimates are approximations based on mathematical models and public specifications. Actual performance may vary. Do not make purchasing decisions based solely on these estimates.

Data sourced from Hugging Face, Ollama, and official model documentation. Model names and logos are trademarks of their respective owners.

© 2026 Will It Run AI — Fase Consulting Ibiza, S.L. (NIF: B57969656)

Home/Models/CogVLM2 19B

Tsinghua/ZhipuTsinghua/Zhipu

CogVLM2 19B

Current
huggingfaceHuggingFace
2.5KDownloads219LikesMay 2024Released8K tokensContextApache 2.0License4 EntryQuality

Get started

— copy & paste to run locally
HuggingFace
huggingface-cli download cogvlm2-19b

Quick specs

Parameters19B
Architecturedense
Context8K tokens
Modalitytext+vision
Min RAM7.4 GB
Rec. RAM11.6 GB (Q4_K_M)
LicenseApache 2.0
FamilyCogVLM
✓ Chat

About this model

👋 Wechat · 💡Online Demo · 🎈Github Page · 📑 Paper

  • •Significant improvements in many benchmarks such as TextVQA, DocVQA
  • •Support 8K content length
  • •Support image resolution up to **1344 * 1344**
  • •Provide an open source model version that supports both Chinese and English

Your hardware

Detecting...

Quick picks

Apple
Best budgetC
MacBook Pro M4 32GB~$799 — 8 tok/s
NVIDIA
Best overallB
RTX 4090 24GB~$1,599 — 66 tok/s

Best hardware

Top picks for CogVLM2 19B

NVIDIA
RTX 4090 24GBB
24 GB
NVIDIA
RTX 5090 Laptop 24GBB
24 GB
NVIDIA
NVIDIA A30 24GBB
24 GB
NVIDIA
RTX 3090 Ti 24GBB
24 GB
AMD
RX 7900 XTX 24GBB
24 GB

Quantization options

VRAM estimates by quant level

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
7.4 GB
Low—
Q3_K_S
3
9.3 GB
Low—
NVFP4
4
10.6 GB
Medium—
Q4_K_M
4
11.6 GB
Medium—
Q5_K_M
5
13.7 GB
High—
Q6_K
6
15.6 GB
High—
Q8_0
8
20.3 GB
Very High—
F16
16
38.9 GB
Maximum—

Hardware compatibility

Fit estimates across all hardware

Open calculator

Computing compatibility...

Memory breakdown

Reference: NVIDIA A10 24GB

Weights11.6 GB
KV Cache3.0 GB
Runtime0.9 GB
Headroom2.4 GB