bartowski / text-generation Open weights updated 2 weeks ago

Nanbeige_Nanbeige4.3-33B-GGUF

Model details: - Parameter count: 33B (source checkpoint) - Input support: text - Speculative decoding: no - imatrix: yes - details

Params
33.0 B
Context
—
Downloads 30d
140 K
Likes
31
Commercial use: allowed apache-2.0 Not gated GGUF 2 languages View on Hugging Face ↗

Download history

tracking started — chart appears after 7 days of snapshots (2 recorded)
140 K downloads in the last 30 days

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

FileQuantSizeEst. VRAMVerdict on RTX 4090 · 24 GB
Nanbeige_Nanbeige4.3-33B-IQ2_XXS.gguf IQ2_XXS 10.1 GB 16.5 GB ✅ Runs comfortably
Nanbeige_Nanbeige4.3-33B-IQ2_XS.gguf IQ2_XS 10.6 GB 17.1 GB ✅ Runs comfortably
Nanbeige_Nanbeige4.3-33B-IQ2_S.gguf IQ2_S 11.2 GB 17.7 GB ✅ Runs comfortably
Nanbeige_Nanbeige4.3-33B-IQ2_M.gguf IQ2_M 12.2 GB 18.9 GB ✅ Runs comfortably
Nanbeige_Nanbeige4.3-33B-IQ3_XXS.gguf IQ3_XXS 14.5 GB 21.4 GB ⚠️ Tight — reduce context
Nanbeige_Nanbeige4.3-33B-IQ3_XS.gguf IQ3_XS 15.2 GB 22.2 GB ⚠️ Tight — reduce context
Nanbeige_Nanbeige4.3-33B-IQ3_M.gguf IQ3_M 17.8 GB 25.0 GB ❌ Won’t fit
Nanbeige_Nanbeige4.3-33B-IQ4_NL.gguf IQ4_NL 20.9 GB 28.4 GB ❌ Won’t fit
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Run it

copy-paste, exact tags checked against the Hub
~ · ollama · IQ2_M
$ ollama run nanbeige-nanbeige4-3-33b-gguf

# pin the quantization explicitly
$ ollama run nanbeige-nanbeige4-3-33b-gguf-iq2_m
est. VRAM 18.9 GBon RTX 4090 · 24 GBJSON API →

Specifications

Parameters
33.0 B
Licence
apache-2.0
First seen on the Hub
2026-10-25
Training datasets
undisclosed
Added to our catalog
2026-11-09
Compare with any text-generation model