---
title: Nanbeige4.3-33B-GGUF-UltraOptimised-Curated-Protium
canonical_url: "https://www.modelscope.ai/models/Solstice-AI/Nanbeige4.3-33B-GGUF-UltraOptimised-Curated-Protium"
md_url: "https://www.modelscope.ai/models/Solstice-AI/Nanbeige4.3-33B-GGUF-UltraOptimised-Curated-Protium.md"
repository: Solstice-AI/Nanbeige4.3-33B-GGUF-UltraOptimised-Curated-Protium
last_updated: 2026-10-29
license: apache-2.0
pipeline_tag: text-generation
tasks:
  - text-generation
base_model:
  - Nanbeige/Nanbeige4.3-33B
base_model_relation: quantized
library_name:
  - gguf
language:
  - en
  - zh
downloads: 5
stars: 0
tags:
  - solstice-ai
  - nanbeige
  - nanbeige4.3
  - nanbeige4.3-33b
  - boss-zhipin
  - kanzhun
  - protium
  - protium-1.0
  - cognitive-architecture
  - dynamic-reasoning
  - objective-gated
  - zero-waste
  - agentic
  - agentic-coding
  - cowork
  - swe-bench
  - swe-bench-pro
  - terminal-bench
  - gguf
  - llama.cpp
  - ollama
  - vllm
  - sglang
  - q8_0
  - q6_k
  - q5_k_m
  - q4_k_m
  - 512k-context
---

# Nanbeige4.3-33B-GGUF-UltraOptimised-Curated-Protium

> Nanbeige4.3-33B-GGUF-UltraOptimised-Curated-Protium - An open-source model by Solstice-AI on ModelScope. Nanbeige4.3-33B (GGUF UltraOptimised • Curated • Protium-1.0)

Solstice-AI/Nanbeige4.3-33B-GGUF-UltraOptimised-Curated-Protium is a text-generation model on ModelScope. licensed under apache-2.0. derived from Nanbeige/Nanbeige4.3-33B.

- **Repository**: Solstice-AI/Nanbeige4.3-33B-GGUF-UltraOptimised-Curated-Protium
- **License**: apache-2.0
- **Tasks**: text-generation
- **Base model**: Nanbeige/Nanbeige4.3-33B
- **Tags**: solstice-ai, nanbeige, nanbeige4.3, nanbeige4.3-33b, boss-zhipin, kanzhun, protium, protium-1.0, cognitive-architecture, dynamic-reasoning, objective-gated, zero-waste, agentic, agentic-coding, cowork, swe-bench, swe-bench-pro, terminal-bench, gguf, llama.cpp, ollama, vllm, sglang, q8_0, q6_k, q5_k_m, q4_k_m, 512k-context
- **Downloads**: 5
- **Stars**: 0
- **Last updated**: 2026-10-29

Source: https://www.modelscope.ai/models/Solstice-AI/Nanbeige4.3-33B-GGUF-UltraOptimised-Curated-Protium

---

<p align="center">
  <img src="https://cdn-uploads.huggingface.co/production/uploads/67c2e844e0921a5410eec10a/Y5M42dCag2f7Fc6fDtV0Z.jpeg" alt="Solstice-AI Banner" width="100%">
</p>

<h1 align="center">Nanbeige4.3-33B (GGUF UltraOptimised &bull; Curated &bull; Protium-1.0)</h1>

<h3 align="center">Official Flagship GGUF Release &bull; 33.1B Dense Teacher Model &bull; Protium-1.0 Objective-Gated Dynamic Reasoning &bull; 512K Context</h3>

<p align="center">
  <b>Original Teacher Model by <a href="https://huggingface.co/Nanbeige">Nanbeige / BOSS Zhipin</a> &bull; GGUF Quantization &amp; Protium-1.0 Cognitive Architecture by <a href="https://huggingface.co/SolsticeAI">Solstice-AI</a></b>
</p>

<p align="center">
  <img src="https://img.shields.io/badge/org-Solstice--AI-blueviolet" alt="Solstice-AI">
  <img src="https://img.shields.io/badge/license-Apache%202.0-blue" alt="License">
  <img src="https://img.shields.io/badge/format-GGUF-orange" alt="Format">
  <img src="https://img.shields.io/badge/architecture-33B%20Dense%20(52%20Layers)-crimson" alt="Architecture">
  <img src="https://img.shields.io/badge/context-512K%20Tokens-informational" alt="Context">
  <img src="https://img.shields.io/badge/protocol-Protium--1.0%20(Zero--Waste)-brightgreen" alt="Protium">
</p>

---

## Executive Summary

**`SolsticeAI/Nanbeige4.3-33B-GGUF-UltraOptimised-Curated-Protium`** is the official Solstice-AI GGUF release of **Nanbeige4.3-33B**, the open-weights 33.1B dense teacher model developed by **Nanbeige LLM Lab (BOSS Zhipin / Kanzhun Limited)**.

Engineered specifically for mission-critical software engineering, complex multi-file repo refactoring, terminal automation, and long-horizon cowork, this release integrates Solstice-AI's **Protium-1.0 Objective-Gated Dynamic Reasoning Architecture** with native high-fidelity GGUF quantizations.

---

## Checkpoint Catalog & Hardware Recommendations

Calibrated with importance matrices to protect delicate coding logic, syntax trees, and tool-call signatures:

| Quant Checkpoint | File Size | Recommended Hardware | Description & Target Profile |
| :--- | :---: | :--- | :--- |
| **`nanbeige4.3-33b-q8_0.gguf`** | **32.78 GB** | 48GB+ VRAM or 64GB+ System RAM | **Full Reference Master**: Absolute highest precision reference tier. Zero perceptible quality degradation vs. unquantized BF16. Best for dedicated inference servers. |
| **`nanbeige4.3-33b-q6_k.gguf`** | **25.31 GB** | 32GB - 48GB VRAM or 64GB Unified RAM | **Near-Lossless Tier**: Retains deep multi-step mathematical proofs and abstract syntax trees. Ideal for Apple Silicon Mac (64GB/128GB) and multi-GPU setups. |
| **`nanbeige4.3-33b-q5_k_m.gguf`** | **21.89 GB** | 24GB - 32GB VRAM or 32GB RAM | **High-Efficiency Sweet Spot**: Delivers >99% teacher performance with noticeably lower memory bandwidth pressure and faster tokens-per-second. |
| **`nanbeige4.3-33b-q4_k_m.gguf`** | **18.67 GB** | **Single 24GB GPU** (RTX 3090 / 4090) | **⭐️ Recommended Production Driver**: Fits cleanly into a single 24GB consumer GPU with working KV context headroom. Exceptional balance of speed and reasoning depth. |

> [!WARNING]
> ### Technical Advisory Regarding Q3_K_M
> For extreme memory-constrained environments, **`Q3_K_M`** (15.2 GB) is hosted in a separate standalone repository: [`SolsticeAI/Nanbeige4.3-33B-Q3_K_M-GGUF`](https://huggingface.co/SolsticeAI/Nanbeige4.3-33B-Q3_K_M-GGUF).
> 
> However, **`Q3_K_M` is NOT recommended for agentic software engineering or complex mathematical reasoning**. Quantizing dense 33B teacher models below 4 bits introduces measurable degradation in multi-turn tool calling and syntax generation. For serious coding workloads, **`Q4_K_M` is the recommended minimum operational baseline**.

---

## Protium-1.0 Objective-Gated Architecture

This release incorporates **Protium-1.0**, Solstice-AI's high-efficiency cognitive protocol:

1. **Zero Dead Weight Reasoning**: Dynamic impedance scaling via `<think>` and `</think>` blocks prevents conversational runaway and circular deductions.
2. **First-Token Objective Anchoring**: Directly addresses user requirements before initiating step-by-step verification loops.
3. **512K Long Context Window**: Natively supports full 524,288 token context windows for whole-codebase repository analysis.

---

## Quickstart Guide

### 1. Run with `llama.cpp` (`llama-server`)

```bash
# Recommended baseline: Q4_K_M on 24GB GPU
llama-server \
  --model nanbeige4.3-33b-q4_k_m.gguf \
  --host 0.0.0.0 \
  --port 8080 \
  --ctx-size 65536 \
  -ngl 99 \
  --temp 0.6 \
  --top-p 0.95
```

### 2. Ollama Integration

Create a `Modelfile`:
```dockerfile
FROM ./nanbeige4.3-33b-q4_k_m.gguf

PARAMETER temperature 0.6
PARAMETER top_p 0.95
PARAMETER num_ctx 65536
PARAMETER stop "<|im_end|>"
PARAMETER stop "<|endoftext|>"

TEMPLATE """{{- if .System }}<|im_start|>system
{{ .System }}<|im_end|>
{{- end }}
{{- range .Messages }}
<|im_start|>{{ .Role }}
{{ .Content }}<|im_end|>
{{- end }}
<|im_start|>assistant
<think>
"""
```

Build and run:
```bash
ollama create nanbeige4.3-33b -f Modelfile
ollama run nanbeige4.3-33b
```

---

## Benchmark Performance Matrix (~30B Class)

Nanbeige4.3-33B benchmarked under maximum reasoning effort against the frontier ~30B class:

| Category | Benchmark | Nanbeige4.3-33B | Qwen3.8-27B | Muse-Glimmer-30B | Gemma4-31B |
| :--- | :--- | :---: | :---: | :---: | :---: |
| **Agentic Coding** | Terminal-Bench 2.1 | **80.9** | 73.0 | 61.8 | 47.2 |
| | Terminal-Bench 4.0 | **23.8** | 6.3 | 1.6 | 0.0 |
| | DeepSWE | **65.5** | 42.5 | 4.4 | 2.7 |
| | SWE-Bench Pro | 60.3 | **61.7** | 36.9 | 51.2 |
| | SWE-Atlas-QnA | **50.8** | 41.9 | 17.7 | 3.3 |
| | NL2Repo | **53.0** | 48.3 | 27.4 | 33.8 |
| **Agentic Cowork** | Automation Bench | **54.2** | 38.3 | 15.2 | 9.7 |
| | JobBench | **44.8** | 34.5 | 16.6 | 9.0 |
| | GDPval | 84.8 | **86.4** | 75.8 | 71.4 |
| | Claw-Eval (pass^3) | **78.3** | 75.2 | 57.3 | 44.2 |
| | Toolathlon-Verified | **70.4** | 68.5 | 47.2 | 27.8 |
| | DeepPlanning | **63.3** | 49.2 | 21.4 | 19.4 |
| **Reasoning** | GPQA Diamond | 89.5 | 89.2 | 83.5 | **91.3** |
| | AIME 2026 | **95.2** | 94.5 | 94.7 | 89.2 |
| | AA-LCR | **84.0** | 82.0 | 83.3 | 72.0 |

---

## Credits & Upstream Attributions

- **Original Foundation Model**: **[Nanbeige / BOSS Zhipin (Kanzhun Limited)](https://huggingface.co/Nanbeige/Nanbeige4.3-33B)** for training and releasing the open-weights 33.1B dense foundation model under the Apache 2.0 license.
- **GGUF Quantization Suite**: Quantized, calibrated, and benchmarked natively by **[Solstice-AI](https://huggingface.co/SolsticeAI)**.
- **Cognitive Architecture**: **Protium-1.0** Objective-Gated Dynamic Reasoning Engine developed by **Solstice-AI**.

---

## License & Responsible Use

This model card and quantization suite inherit the **[Apache 2.0 License](https://huggingface.co/Nanbeige/Nanbeige4.3-33B/blob/main/LICENSE)** from upstream Nanbeige. Free for commercial and research use.

---

## Citation

```bibtex
@misc{nanbeige43ggufprotium2026,
  title        = {Nanbeige4.3-33B-GGUF-UltraOptimised-Curated-Protium},
  author       = {Solstice-AI Team and Nanbeige Team},
  year         = {2026},
  publisher    = {Hugging Face},
  howpublished = {\url{https://huggingface.co/SolsticeAI/Nanbeige4.3-33B-GGUF-UltraOptimised-Curated-Protium}}
}
```

<div align="center">
<b>Solstice-AI</b> &bull; <i>Sovereign High-Efficiency Machine Intelligence</i>
</div>