MambaByte Code is an open-source language model by JunxiongWang. Features: LLM, VRAM: 1.5GB, License: apache-2.0, LLM Explorer Score: 0.13.
Model Card on HF 🤗: https://huggingface.co/JunxiongWang/MambaByte_Code
MambaByte Code 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)
MambaByte Code Parameters and Internals
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| LLM Name | MambaByte Code |
| Repository 🤗 | https://huggingface.co/JunxiongWang/MambaByte_Code |
| Required VRAM | 1.5 GB |
| Updated | 2026-05-23 |
| Maintainer | JunxiongWang |
| Model Files | |
| Model Architecture | AutoModel |
| License | apache-2.0 |
| Vocabulary Size | 256 |
Best Alternatives to MambaByte Code
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Argonne 2.5 Ctx13568 | 13K / 2.4 GB | 17 | 0 |
| Distil Longformer Base 4096 | 4K / 0.4 GB | 5 | 0 |
| Daedalus 1 | 1K / GB | 5 | 1 |
| Tiny Random Detr | 1K / 0.2 GB | 15 | 0 |
| Opengpt2 Pytorch Backward | 1K / 6 GB | 6 | 1 |
| Opengpt2 Pytorch Forward | 1K / 6 GB | 4 | 1 |
| Finsent Transformer | 0.5K / 0.4 GB | 8 | 1 |
| Bert Chinese L 12 H 768 A 12 | 0.5K / 0.4 GB | 11 | 1 |
| Simbert Chinese Base | 0.5K / 0.4 GB | 6 | 0 |
| Simbert Chinese Tiny | 0.5K / 0 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than JunxiongWang/MambaByte_Code .
Rank the MambaByte Code Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a