Kimi K2.5 is an open-source language model by mlx-community. Features: LLM, VRAM: 143.9GB, License: other, LLM Explorer Score: 0.37.
4-bit Base model:moonshotai/kimi-k2.... Base model:quantized:moonshota... Conversational Custom code Kimi k25 Mlx Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/Kimi-K2.5
Kimi K2.5 Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Kimi K2.5 Parameters and Internals
| LLM Name | Kimi K2.5 |
| Repository 🤗 | https://huggingface.co/mlx-community/Kimi-K2.5 |
| Base Model(s) | |
| Required VRAM | 143.9 GB |
| Updated | 2026-05-10 |
| Maintainer | mlx-community |
| Model Type | kimi_k25 |
| Model Files | |
| Model Architecture | KimiK25ForConditionalGeneration |
| License | other |
Best Alternatives to Kimi K2.5
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Kimi K2.5 NVFP4 | 0K / 195 GB | 777586 | 76 |
| Kimi K2.6 NVFP4 | 0K / 390 GB | 77 | 13 |
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Kimi-K2.5 .
Rank the Kimi K2.5 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a