Apex-35B-V1.0
Apex-35B-V1.0 is a 35-billion-parameter model built on Qwen3.6-35B-A3B, with approximately 3 billion parameters activated per token. It is presented for coding, tool use, question answering, search, and research tasks, and has a 262,144-token context window.
What it does
Use it for coding, question answering, agentic tasks, and computational research workflows involving programs and execution feedback.
- Availability
- Weights and GGUF builds are available on Hugging Face.
- Pricing model
- Not established
- Deployment
- Local runtimes including llama.cpp and Unsloth are supported.
- Privacy
- Not established
- Licence
- Apache 2.0
Capability
Modality
Access
Deployment
Pricing
Target user
Evidence
6 claims- The model supports coding, tool use, question answering, deep search, and research tasks. [1]
It combines coding, tool use, question answering, and deep search with research tasks in AI, computational science, and robotics simulation.
Hugging Face. Quoted text is outside CC BY 4.0 and keeps its original rights. - It plans computations, writes and runs programs, and uses results or execution feedback to revise its approach. [1]
- **Research through computation and feedback.** Plans computations, writes and runs programs, and uses results or execution feedback to revise its approach, including in fluid dynamics and robotics simulation.
Hugging Face. Quoted text is outside CC BY 4.0 and keeps its original rights. - It has a 262,144-token context window shared by input and output. [1]
- **Sparse architecture and long context.** Uses 35B total parameters with approximately 3B activated per token, and a context window of 262,144 tokens shared by input and output, supporting large code repositories and long multi-turn tool interactions.
Hugging Face. Quoted text is outside CC BY 4.0 and keeps its original rights. - GGUF builds are available in BF16 and 28 quantizations. [1]
GGUF builds for llama.cpp, Unsloth, and other local runtimes are available in [Apex-35B-V1.0-GGUF](https://huggingface.co/Apexintelligence-AI/Apex-35B-V1.0-GGUF): BF16 and 28 quantizations, from Q8_0 (37.8 GB) to IQ1_S (9.0 GB).
Hugging Face. Quoted text is outside CC BY 4.0 and keeps its original rights. - GGUF builds are available for llama.cpp, Unsloth, and other local runtimes. [1]
GGUF builds for llama.cpp, Unsloth, and other local runtimes are available in [Apex-35B-V1.0-GGUF](https://huggingface.co/Apexintelligence-AI/Apex-35B-V1.0-GGUF): BF16 and 28 quantizations, from Q8_0 (37.8 GB) to IQ1_S (9.0 GB).
Hugging Face. Quoted text is outside CC BY 4.0 and keeps its original rights. - The model is licensed under Apache 2.0. [1]
Sources
1
1
Hugging FaceOwner-controlled
https://huggingface.co/Apexintelligence-AI/Apex-35B-V1.0
Retrieved 2026-11-02 00:36 UTC
Verified
Versions
2| Version | Effective | Change | Changed fields | State |
|---|---|---|---|---|
| 2 | 2026-10-31 01:00 UTC | material change | capability, access, pricing, availability, deployment | Current |
| 1 | 2026-10-29 00:30 UTC | publication | None | Current |
In briefs
1- Muse Wonder arrives in Singapore, with connectors rolling out Weekly brief 2026-W44
Original catalog content is licensed under CC BY 4.0, attributed to wowsuchai. Source quotations and linked content keep their original rights.
