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AI9Stars

G9v3-3B

  • Released
  • Open weights
  • Apache 2.0
Intelligence Index

Reasoning setting

10.8
Estimated · Artificial Analysis v4.3.2
Context window
131.07K tok

Performance profile

ReasoningRank #98 of 107
43.8%
GPQA Diamond

Capabilities

Context window

Modalities

Measured setting

Reasoning trade-offs

Source (opens in a new tab)
Intelligence Index v4.3.2
ReasoningEstimated
Intelligence Index
10.8

Pricing & access

No API offering listed in our tracked sources.

Run locally

GGUF
Context
Estimated memory

~4.2 GiB

RAM + VRAM

Estimate assumptions

One text chat at the selected context, with a 16-bit cache and app allowance. Operating system and image processing are extra; optimized caches can use less.

16 GiB RAMwithout GPU offload

Memory budgetOne text chat
Weights
1.8 GiB
Context cache
0.4 GiB16-bit cache
App allowance
2 GiB
Download
1.9 GB
Disk space
~8 GB
Get GGUF (opens in a new tab)
Set up in Ollama · Q4_K_M · 8K context

Save the following as Modelfile. The context matches the estimate above.

FROM hf.co/bartowski/ai9stars_G9v3-3B-GGUF:Q4_K_M
PARAMETER num_ctx 8192

Then run these commands in your terminal:

ollama create llmcurrent-local -f Modelfile
ollama run llmcurrent-local

Ollama import instructions (opens in a new tab) · For LM Studio or Jan, open the app’s model search, enter bartowski/ai9stars_G9v3-3B-GGUF, choose Q4_K_M, and set context to 8,192 tokens in the app’s model settings. Software links above open each app’s setup guide.

Benchmarks

Full leaderboardSource (opens in a new tab)

Humanity’s Last Exam

Frontier reasoning

G9v3-3B · Reasoning#117 of 126

  1. 1Claude Opus 5.5Max61.4%
  2. 2Claude Fable 5.1Max59.1%
  3. 3Gemini 4 ArgonHigh57.1%
  4. 114Qwen3 Omni 30B A3B InstructStandard4.6%
  5. 114Nova MicroStandard4.6%
  6. 114Ministral 3 14BStandard4.6%
  7. 117G9v3-3BReasoning4.5%
  8. 118Phi-4 Mini InstructStandard4.5%
  9. 119Reka Flash 3Reasoning4.4%
  10. 120Ministral 3 8BStandard4.3%

Peers use their best measured result on this benchmark.