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Model Comparison

ggml-org/qwen3-reranker-0.6b-q8_0-ggufvsunsloth/kimi-k2.5-gguf

Side-by-side comparison of ggml-org/qwen3-reranker-0.6b-q8_0-gguf and unsloth/kimi-k2.5-gguf: downloads, license, context length, tasks, and benchmarks.

ggml-org/qwen3-reranker-0.6b-q8_0-gguf

ggml-org · text-ranking

This model was converted to GGUF format from Qwen/Qwen3-Reranker-0.6B 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/kimi-k2.5-gguf

unsloth · —

See how to run Kimi-K2.5 locally - Read our Guide! Unsloth Dynamic 2.0 achieves superior accuracy & outperforms other leading quants. Kimi K2.5 Usage Guidelines 📰  Tech Blog

Side-by-side Specifications

ggml-org/qwen3-reranker-0.6b-q8_0-ggufunsloth/kimi-k2.5-gguf
Authorggml-orgunsloth
Pipeline Tasktext-ranking—
Librarytransformerstransformers
Downloads33,06128,037
Likes14250
LicenseUnknownUnknown
Context Length——
Created2025-10-032026-01-27
Last Modified2025-10-032026-01-28
Tags
transformersggufllama-cppgguf-my-repotext-rankingbase_model:Qwen/Qwen3-Reranker-0.6Bbase_model:quantized:Qwen/Qwen3-Reranker-0.6Blicense:apache-2.0endpoints_compatibleregion:us
transformersggufunslothkimi_k25base_model:moonshotai/Kimi-K2.5base_model:quantized:moonshotai/Kimi-K2.5license:otherendpoints_compatibleregion:usconversational

View full details: ggml-org/qwen3-reranker-0.6b-q8_0-gguf · unsloth/kimi-k2.5-gguf