4bit Base model:merge:opengvlab/int... Base model:merge:qwen/qwen2.5-... Base model:opengvlab/internvit... Base model:qwen/qwen2.5-0.5b Custom code Dataset:opengvlab/mmpr-v1.2 Feature-extraction Image-text-to-text Internvl Kimi vl Mlx Multilingual Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/Kimi-VL-A3B-Thinking-4bit
Kimi VL A3B Thinking 4bit 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 VL A3B Thinking 4bit Parameters and Internals
| LLM Name | Kimi VL A3B Thinking 4bit |
| Repository 🤗 | https://huggingface.co/mlx-community/Kimi-VL-A3B-Thinking-4bit |
| Base Model(s) | |
| Model Size | 0.5b |
| Required VRAM | 9 GB |
| Updated | 2025-04-29 |
| Maintainer | mlx-community |
| Model Type | kimi_vl |
| Model Files | |
| Quantization Type | 4bit |
| Model Architecture | KimiVLForConditionalGeneration |
| License | mit |
| Model Max Length | 1048576 |
| Transformers Version | 4.50.3 |
| Tokenizer Class | TikTokenTokenizer |
| Padding Token | [PAD] |
| Vocabulary Size | 163840 |
| Torch Data Type | bfloat16 |
Rank the Kimi VL A3B Thinking 4bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227