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Model Comparison

ggml-org/qwen3-coder-30b-a3b-instruct-q8_0-ggufvsunsloth/nvidia-nemotron-3-nano-4b-gguf

Side-by-side comparison of ggml-org/qwen3-coder-30b-a3b-instruct-q8_0-gguf and unsloth/nvidia-nemotron-3-nano-4b-gguf: downloads, license, context length, tasks, and benchmarks.

ggml-org/qwen3-coder-30b-a3b-instruct-q8_0-gguf

ggml-org · text-generation

This model was converted to GGUF format from Qwen/Qwen3-Coder-30B-A3B-Instruct using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

unsloth/nvidia-nemotron-3-nano-4b-gguf

unsloth · text-generation

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

ggml-org/qwen3-coder-30b-a3b-instruct-q8_0-ggufunsloth/nvidia-nemotron-3-nano-4b-gguf
Authorggml-orgunsloth
Pipeline Tasktext-generationtext-generation
Librarytransformers—
Downloads217,55427,504
Likes953
LicenseUnknownUnknown
Context Length——
Created2025-08-202026-03-16
Last Modified2025-08-202026-03-17
Tags
transformersggufllama-cppgguf-my-repotext-generationbase_model:Qwen/Qwen3-Coder-30B-A3B-Instructbase_model:quantized:Qwen/Qwen3-Coder-30B-A3B-Instructlicense:apache-2.0endpoints_compatibleregion:us
ggufnvidiapytorchtext-generationenarxiv:2511.16664arxiv:2504.03624arxiv:2512.20856arxiv:2512.20848arxiv:2412.02595

View full details: ggml-org/qwen3-coder-30b-a3b-instruct-q8_0-gguf · unsloth/nvidia-nemotron-3-nano-4b-gguf