Model formats
File formats for model weights, and the code that reads and writes them.
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The Featured projects with the most downloads.
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safetensors
Provides functions to read and write safetensors which aim to be safer than their PyTorch counterpart.
5.5M downloads (30 days) Latest release: 0.8.0, 9 Jun 2026
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Order: strongest tier first, then most downloads, then name, with unmeasured values last. A library counts downloads over 30 days. An app counts binary downloads per release. An app with none counts its crate downloads over 30 days.
What do the tiers mean?
- Featured
- Shown first. It passes every Featured gate.
- Listed
- Shown in the normal listing. No other tier applies.
- New
- A project whose first release is recent.
- Archived
- No longer maintained, or ended by its author.
Tiers come from published rules over raw signals. Stars alone never qualify a project.
Active dependents: crates from other owners that depend on this project in a current release. One owner counts at most once.
Movement needs more history.
| Project | Downloads | Dependents | Stars | Latest release | Runs on (GPU) | Native code | License |
|---|---|---|---|---|---|---|---|
| Featured 1 project | |||||||
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safetensors Featured
Provides functions to read and write safetensors which aim to be safer than their PyTorch counterpart. |
5,486,837 downloads over 30 days | 531 | 3,943 | 0.8.0 | GPU support unknown | No native code found | Apache-2.0 |
| Listed 5 projects | |||||||
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burn-onnx Listed
Import and export ONNX models with the Burn framework |
14,530 downloads over 30 days | 23 | 141 | 0.22.0 | GPU support unknown | No native code found | Apache-2.0 OR MIT |
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onnx-extractor Listed
Minimal ONNX model loader for extracting weights, tensors, operations, and graph structure |
3,975 downloads over 30 days | 4 | 6 | 0.5.2 | GPU support unknown | No native code found | MIT |
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gguf Listed
GGUF file parser |
2,472 downloads over 30 days | 4 | 25 | 0.1.8 | GPU support unknown | No native code found | MIT |
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onnx-rs Listed
Zero-dependency ONNX model parser in Rust |
453 downloads over 30 days | 5 | 6 | 0.1.3 | GPU support unknown | No native code found | MIT |
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One backbone, many specialists. CMF is a self-describing, memory-mappable single-file format and a dependency-free runtime for quantized LLMs — zero-copy execution on CPU or GPU (Vulkan · Metal · DX12) that overlays task-specialized skills onto one shared model, with no per-model duplication. |
24 binary downloads per release | Not applicable | 52 | Not measured | Not measured | Apache-2.0 | |
| New 1 project | |||||||
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Model conversion and quantization with no Python: reads SafeTensors, GGUF, TCF and PyTorch state dicts, writes SafeTensors, GGUF and TCF, and quantizes to Q2_K through Q8_0 and IQ4 formats, including Q4_K_M mixes. GPTQ, AWQ, NF4, FP8, EXL2 and ONNX input are not implemented. Python bindings |
23 downloads over 30 days | Not applicable | 0 | 0.2.1 | GPU support unknown | No native code found | Apache-2.0 |