Rax-4.5
> [!Note] > This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. > > These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc. > > In light of its parameter scale, the intended use cases are prototyping, task-specific fine-tuning, and other research or development purposes.
Params
2.3 B
Context
—
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daily snapshots · 21 days1.1 M846 K
Sep 1Sep 8Sep 15Sep 21
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | bf16 | 4.5 GB | 5.8 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Architecture
- Qwen3_5ForConditionalGeneration
- Parameters
- 2.3 B
- Tensor type
- BF16
- Licence
- apache-2.0
- First seen on the Hub
- 2025-11-27
- Base model
- Rax-4.5
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-01
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any image-text-to-text model