city96/t5-v1_1-xxl-encoder-ggufvsunsloth/nvidia-nemotron-3-nano-4b-gguf
Side-by-side comparison of city96/t5-v1_1-xxl-encoder-gguf and unsloth/nvidia-nemotron-3-nano-4b-gguf: downloads, license, context length, tasks, and benchmarks.
city96/t5-v1_1-xxl-encoder-gguf
This is a GGUF conversion of Google's T5 v1.1 XXL encoder model. The weights can be used with ./llama-embedding or with the ComfyUI-GGUF custom node together with image generation models. This is a **non imatrix** quant as llama.cpp doesn't support imatrix creation for T5 models…
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
| city96/t5-v1_1-xxl-encoder-gguf | unsloth/nvidia-nemotron-3-nano-4b-gguf | |
|---|---|---|
| Author | city96 | unsloth |
| Pipeline Task | — | text-generation |
| Library | gguf | — |
| Downloads | 35,811 | 27,504 |
| Likes | 510 | 53 |
| License | Unknown | Unknown |
| Context Length | — | — |
| Created | 2024-08-19 | 2026-03-16 |
| Last Modified | 2024-08-20 | 2026-03-17 |
| Tags |
View full details: city96/t5-v1_1-xxl-encoder-gguf · unsloth/nvidia-nemotron-3-nano-4b-gguf