jayn7/z-image-turbo-ggufvsunsloth/nvidia-nemotron-3-nano-4b-gguf
Side-by-side comparison of jayn7/z-image-turbo-gguf and unsloth/nvidia-nemotron-3-nano-4b-gguf: downloads, license, context length, tasks, and benchmarks.
jayn7/z-image-turbo-gguf
# Diffusers uses SDPA by default. Switch to Custom attention backend for better efficiency if supported: #pipeline.transformer.set_attention_backend("_sage_qk_int8_pv_fp16_triton") # Enable Sage Attention #pipeline.transformer.set_attention_backend("flash") # Enable Flash-Attent…
unsloth/nvidia-nemotron-3-nano-4b-gguf
See Unsloth Dynamic 2.0 GGUFs for our quantization benchmarks. --- # NVIDIA-Nemotron-3-Nano-4B-BF16 **Model Developer:** NVIDIA Corporation **Model Dates:** Dec 2025 \- Jan 2026 **Data Freshness:** September 2024 The pretraining data has a cutoff date of September 2024\.
Side-by-side Specifications
| jayn7/z-image-turbo-gguf | unsloth/nvidia-nemotron-3-nano-4b-gguf | |
|---|---|---|
| Author | jayn7 | unsloth |
| Pipeline Task | text-to-image | text-generation |
| Library | — | — |
| Downloads | 41,377 | 27,504 |
| Likes | 348 | 53 |
| License | Unknown | Unknown |
| Context Length | — | — |
| Created | 2025-11-27 | 2026-03-16 |
| Last Modified | 2025-12-05 | 2026-03-17 |
| Tags |
View full details: jayn7/z-image-turbo-gguf · unsloth/nvidia-nemotron-3-nano-4b-gguf