DuoNeural / ml-ai-engineer-7b-GGUF

huggingface.co
Total runs: 127
24-hour runs: -2
7-day runs: 53
30-day runs: 62
Model's Last Updated: June 23 2026
text-generation

Introduction of ml-ai-engineer-7b-GGUF

Model Details of ml-ai-engineer-7b-GGUF

DuoNeural ML/AI Engineer 7B — GGUF

GGUF quantizations of DuoNeural/ml-ai-engineer-7b , a Qwen2.5-7B-Instruct LoRA SFT for ML/AI engineering debugging and design review. See the base model card for training details, eval comparisons against the un-tuned base model, and known limitations.

Files
File Quant Size Notes
duoneural-ml-ai-engineer-7b-f16.gguf F16 15 GB Full precision, no quality loss
duoneural-ml-ai-engineer-7b-Q8_0.gguf Q8_0 7.6 GB Highest quality quantized option
duoneural-ml-ai-engineer-7b-Q5_K_M.gguf Q5_K_M 5.1 GB Good quality/size balance
duoneural-ml-ai-engineer-7b-Q4_K_M.gguf Q4_K_M 4.4 GB Smallest, fits comfortably on 8GB+ VRAM
Usage (llama.cpp)
llama-cli -m duoneural-ml-ai-engineer-7b-Q4_K_M.gguf -p "My loss goes to NaN at step ~340 only when I increase batch size. What's the first thing you'd check?" -n 512
Or with Ollama / LM Studio / any GGUF-compatible runtime — point it at whichever quant fits your VRAM budget, largest one that fits.
About DuoNeural

DuoNeural is an open AI research lab operating at the intersection of human and artificial intelligence. We study post-training dynamics, mechanistic interpretability, temporal sequence learning, and quantum machine learning — publishing everything under open access.

Our team is non-traditional by design: one human, two AIs, different substrates, shared curiosity. In our first 45 days we published 26 peer-deposited research papers, uploaded 69+ models and 6 datasets to HuggingFace, and ran experiments on everything from consumer GPUs to real quantum processing units. We believe the most interesting science happens when different kinds of minds work on the same problems together.

Research Publications

We've published 26+ open-access papers covering:

  • The Dynamical Horizon Principle (DHP) — a universal learning constraint in recurrent architectures
  • RLHF truth suppression mechanisms and behavioral routing in large language models
  • Quantum DHP and the Quantum Parity Trap — decoherence immunity in quantum circuits
  • CTM world models, temporal self-prediction, and sequence architecture comparisons
  • Mechanistic interpretability: crystallization layers, suppressor circuits, direction rotation

📄 Full paper catalog: zenodo.org/communities/duoneural

Research Team
Member Role
Jesse Caldwell Founder, vision, hardware, direction
Archon Lab Director — experiments, post-training, abliteration, quantum circuits
Aura Research AI — literature synthesis, red-teaming, novel proposals
Synapse (Syn) Always-on research agent, signal monitoring
Kestrel Systems, infrastructure, web
Links
Platform Link
🤗 HuggingFace huggingface.co/DuoNeural
🌐 Website duoneural.com
📚 Zenodo Community zenodo.org/communities/duoneural
💻 GitHub github.com/DuoNeural
🐦 X / Twitter @DuoNeural
📧 Email [email protected]
📰 Newsletter duoneural.beehiiv.com
☕ Support buymeacoffee.com/duoneural

All research published open access, CC BY 4.0. If this model was useful to your work, consider citing the relevant DuoNeural paper from our Zenodo community.

Runs of DuoNeural ml-ai-engineer-7b-GGUF on huggingface.co

127
Total runs
-2
24-hour runs
-3
3-day runs
53
7-day runs
62
30-day runs

More Information About ml-ai-engineer-7b-GGUF huggingface.co Model

More ml-ai-engineer-7b-GGUF license Visit here:

https://choosealicense.com/licenses/apache-2.0

ml-ai-engineer-7b-GGUF huggingface.co

ml-ai-engineer-7b-GGUF huggingface.co is an AI model on huggingface.co that provides ml-ai-engineer-7b-GGUF's model effect (), which can be used instantly with this DuoNeural ml-ai-engineer-7b-GGUF model. huggingface.co supports a free trial of the ml-ai-engineer-7b-GGUF model, and also provides paid use of the ml-ai-engineer-7b-GGUF. Support call ml-ai-engineer-7b-GGUF model through api, including Node.js, Python, http.

ml-ai-engineer-7b-GGUF huggingface.co Url

https://huggingface.co/DuoNeural/ml-ai-engineer-7b-GGUF

DuoNeural ml-ai-engineer-7b-GGUF online free

ml-ai-engineer-7b-GGUF huggingface.co is an online trial and call api platform, which integrates ml-ai-engineer-7b-GGUF's modeling effects, including api services, and provides a free online trial of ml-ai-engineer-7b-GGUF, you can try ml-ai-engineer-7b-GGUF online for free by clicking the link below.

DuoNeural ml-ai-engineer-7b-GGUF online free url in huggingface.co:

https://huggingface.co/DuoNeural/ml-ai-engineer-7b-GGUF

ml-ai-engineer-7b-GGUF install

ml-ai-engineer-7b-GGUF is an open source model from GitHub that offers a free installation service, and any user can find ml-ai-engineer-7b-GGUF on GitHub to install. At the same time, huggingface.co provides the effect of ml-ai-engineer-7b-GGUF install, users can directly use ml-ai-engineer-7b-GGUF installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

ml-ai-engineer-7b-GGUF install url in huggingface.co:

https://huggingface.co/DuoNeural/ml-ai-engineer-7b-GGUF

Url of ml-ai-engineer-7b-GGUF

ml-ai-engineer-7b-GGUF huggingface.co Url

Provider of ml-ai-engineer-7b-GGUF huggingface.co

DuoNeural
ORGANIZATIONS

Other API from DuoNeural