hypernix
Download and quantize the HyperNix PyTorch model to GGUF (fp32/fp16/Q8_0/Q6_K/Q4_K_M).
Overview
5 featureshypernix sits in PulseGate's Quantised & converted weights category. It focuses on simplifying the process of downloading and quantizing large language models for efficient local inference. It is built as an open-source project for machine learning engineers. hypernix is open source under the Apache-2.0 license. hypernix is available on the web and the command line.
Behind hypernix is minerofthesoal, and it first shipped in 2026. Development happens publicly on GitHub with 16 commits in the last 90 days. Among its 5 catalogued features are model quantization, GGUF export, and pyTorch support.
- Model quantization
- GGUF export
- PyTorch support
- Llama.cpp compatibility
- Open source
Built with & integrations
Trust & compliance
Indexing history
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Frequently asked questions about hypernix
- What does hypernix do?
- Hypernix focuses on simplifying the process of downloading and quantizing large language models for efficient local inference. It is catalogued under Quantised & converted weights on PulseGate.
- Who is hypernix for?
- hypernix is an open-source project built for machine learning engineers.
- Is hypernix free?
- Yes — hypernix is open source under the Apache-2.0 license and free to use.
- What platforms does hypernix run on?
- hypernix runs on the web and the command line.
- Is hypernix still active?
- The GitHub repository shows 16 commits in the last 90 days.
- What projects are similar to hypernix?
- Similar projects tracked by PulseGate include Qwen3.5 35B A3B, FanFu, and ParoQuant.Qwen3.5 35B A3BFanFuParoQuant
- Who develops hypernix?
- hypernix is developed by minerofthesoal.
- How long has hypernix been around?
- hypernix first shipped in 2026.
Also in Quantised & converted weights
Same category — not a similarity match