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Model Comparison

dat-lequoc/fast-apply-1.5b-v1.0_ggufvsmradermacher/gemma-4-19b-a4b-it-reap-i1-gguf

Side-by-side comparison of dat-lequoc/fast-apply-1.5b-v1.0_gguf and mradermacher/gemma-4-19b-a4b-it-reap-i1-gguf: downloads, license, context length, tasks, and benchmarks.

dat-lequoc/fast-apply-1.5b-v1.0_gguf

dat-lequoc · —

This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.

mradermacher/gemma-4-19b-a4b-it-reap-i1-gguf

mradermacher · —

## About weighted/imatrix quants of https://huggingface.co/0xSero/gemma-4-19b-a4b-it-REAP ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/gemma-4-19b-a4b-it-REAP-GGUF **Thi…

Side-by-side Specifications

dat-lequoc/fast-apply-1.5b-v1.0_ggufmradermacher/gemma-4-19b-a4b-it-reap-i1-gguf
Authordat-lequocmradermacher
Pipeline Task——
Librarytransformerstransformers
Downloads34,56230,495
Likes39
LicenseUnknownUnknown
Context Length——
Created2024-10-242026-04-07
Last Modified2024-10-242026-04-08
Tags
transformersggufqwen2text-generation-inferenceunslothenbase_model:unsloth/Qwen2.5-Coder-1.5B-Instruct-bnb-4bitbase_model:quantized:unsloth/Qwen2.5-Coder-1.5B-Instruct-bnb-4bitlicense:apache-2.0endpoints_compatible
transformersggufsafetensorsgemma4moepruningreapcerebrasexpert-pruningen

View full details: dat-lequoc/fast-apply-1.5b-v1.0_gguf · mradermacher/gemma-4-19b-a4b-it-reap-i1-gguf