kabcnd/Kenzan-Flint-40B-Hepta48Up-GGUF
text-generation model by kabcnd
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Model card & documentation
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☕ Support Local AI Development: Help me acquire a Mac mini 24GB/32GB to optimize and test local MoE models up to 80B parameters. Donate via Ko-fi → Kenzan-Flint-40B-Hepta48Up (Kenzan-Flint-40B-Hepta48Up-Q40-M6-16G.gguf) is a hybrid ternary-4bit Mixture-of-Experts (MoE) language model (39.79B total parameters, 2.54B active per token across 256 routed experts + 1 shared expert, top-8 routing) engineered specifically for Apple Silicon 16 GB Unified Memory (Mac mini M6). Named after the Japanese Kenzan (剣山 — "sword mountain") pin holder used in bonsai and ikebana, this build anchors a lightweight 1.75 bpw (PTQ10) ternary expert crown onto a high-precision Always-On Backbone (Q80 embeddings, Q6K output head, Q5K/IQ4XS attention & shared experts) using a tail-heavy Q40 + FWHT512 pin grid: Measured directly on Apple Silicon Metal GPU (-ngl 99 --no-host -fa on -c 262144 --cache-type-k q40 --cache-type-v q40) with ngram-map-k (3x4) speculative decoding: Download the model, the precompiled macOS ARM64 runtime bundle (includes patched…
Read the full model card ↗ · Preview checked 2026-11-12T08:35:13.340Z
Inside the original model card — Document outline
- Kenzan-Flint-40B-Hepta48Up (9.77 GiB GGUF)
- Verified Benchmarks (Mac mini M6, 16 GB Unified Memory)
- Quick Start & Recommended Deployment (Apple Silicon 16 GB)
- 1. Required Binaries & Patched Metal Libraries
- 2. Mandatory Metal Environment Variables
- 3. Production llama-server Launch Command (16 GB Safe, 262k Context)
- 4. Tips for Other Mac mini M6 (16 GB) Users
- Acknowledgements & Inspiration
- Support the Project & Funding Goals
- What Your Donations Directly Fund
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Model overview
kabcnd/Kenzan-Flint-40B-Hepta48Up-GGUF is a text-generation model repository published by kabcnd on Hugging Face. A library was not reported.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- Not reported
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-11-12T06:24:11.000Z
- Last modified
- 2026-11-12T06:55:25.000Z
Compatibility and lineage
Reported languages: en, ru, zh
Reported base models: Tencent-Hunyuan/Hunyuan-A52B-Instruct
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-12T06:57:10.640Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.