---
title: GLM-5.3-Flash-UNCENSORED-mlx-oQ8e-DFlash2
canonical_url: "https://www.modelscope.ai/models/SolsticeAI/GLM-5.3-Flash-UNCENSORED-mlx-oQ8e-DFlash2"
md_url: "https://www.modelscope.ai/models/SolsticeAI/GLM-5.3-Flash-UNCENSORED-mlx-oQ8e-DFlash2.md"
repository: SolsticeAI/GLM-5.3-Flash-UNCENSORED-mlx-oQ8e-DFlash2
last_updated: 2026-10-31
license: mit
pipeline_tag: image-text-to-text
tasks:
  - image-text-to-text
model_type:
  - glm5_next
architectures:
  - Glm5NextForConditionalGeneration
base_model:
  - dealignai/GLM-5.3-Flash-UNCENSORED-FP8
base_model_relation: quantized
parameters: 58.3B
tensor_type:
  - BF16
  - U32
library_name:
  - mlx
  - gguf
  - safetensors
language:
  - en
  - zh
downloads: 2
stars: 0
tags:
  - solstice-ai
  - glm
  - glm5
  - glm-5.3-flash
  - mlx
  - oq8e
  - mixed-precision
  - apple-silicon
  - metal
  - vision
  - video
  - multimodal
  - dflash2
  - speculative-decoding
  - image-text-to-text
  - long-context
  - uncensored
  - abliterated
---

# GLM-5.3-Flash-UNCENSORED-mlx-oQ8e-DFlash2

> GLM-5.3-Flash-UNCENSORED-mlx-oQ8e-DFlash2 - An open-source model by SolsticeAI on ModelScope. GLM-5.3-Flash-UNCENSORED (oQ8e Mixed-Precision)

SolsticeAI/GLM-5.3-Flash-UNCENSORED-mlx-oQ8e-DFlash2 is a 58.3B-parameter image-text-to-text model on ModelScope. licensed under mit. derived from dealignai/GLM-5.3-Flash-UNCENSORED-FP8.

- **Repository**: SolsticeAI/GLM-5.3-Flash-UNCENSORED-mlx-oQ8e-DFlash2
- **License**: mit
- **Tasks**: image-text-to-text
- **Parameters**: 58.3B
- **Base model**: dealignai/GLM-5.3-Flash-UNCENSORED-FP8
- **Tags**: solstice-ai, glm, glm5, glm-5.3-flash, mlx, oq8e, mixed-precision, apple-silicon, metal, vision, video, multimodal, dflash2, speculative-decoding, image-text-to-text, long-context, uncensored, abliterated
- **Downloads**: 2
- **Stars**: 0
- **Last updated**: 2026-10-31

Source: https://www.modelscope.ai/models/SolsticeAI/GLM-5.3-Flash-UNCENSORED-mlx-oQ8e-DFlash2

---

<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">GLM-5.3-Flash-UNCENSORED (oQ8e Mixed-Precision)</h1>

<h3 align="center">Official Solstice-AI Apple Silicon Release &bull; Native Multimodal Vision + Video &bull; 1M Context Window (1,048,576 Tokens) &bull; Bundled DFlash 2 Speculative Drafter</h3>

<p align="center">
  <b>Original Architecture by <a href="https://huggingface.co/zai-org">Zhipu AI / ZAI</a> &bull; Uncensored Weights by <a href="https://huggingface.co/dealignai">dealignai</a> &bull; oQ8e Mixed-Precision by <a href="https://huggingface.co/Solstice-AI">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-MIT-blue" alt="License">
  <img src="https://img.shields.io/badge/format-oMLX%20oQ8e-orange" alt="Format">
  <img src="https://img.shields.io/badge/precision-~8.6 bpw-yellow" alt="Precision">
  <img src="https://img.shields.io/badge/context-1M%20Tokens%20(1%2C048%2C576)-purple" alt="Context">
  <img src="https://img.shields.io/badge/apple%20silicon-M2%20%7C%20M3%20%7C%20M4%20%7C%20M5-brightgreen" alt="Hardware">
</p>

---

## Model Summary

**`Solstice-AI/GLM-5.3-Flash-UNCENSORED-mlx-oQ8e`** is the official **oQ8e** mixed-precision release of the uncensored 320B foundation model, **GLM-5.3-Flash-UNCENSORED** (320B total parameters, 288 routed MoE experts, ~18B active per token).

### Mixed-Precision Quantization Architecture:
* **Base Precision:** 8-bit affine (group_size=64).
* **Target bpw:** ~8.6 bpw.
* **Consensus-Critical Layer Protection:**
  * `lm_head`: strictly protected at **8-bit** within budget.
  * MoE Routers & Gate Projections (`mlp.gate`, `gate`): protected at **full precision / 8-bit** to preserve expert routing fidelity.
  * 347-Tensor Vision Tower ViT & Multimodal Aligner: kept in untouched full **BF16**.
  * Attention Sinks & Hyper-Connection Tables (`hc_*`): kept in full **BF16/FP32**.
* **Native 1M Context Window:** 1,048,576 tokens native context.
* **Speculative Decoding:** Bundled with DFlash2 block-diffusion drafter in `speculative/` for up to 3x token throughput.

---


## Official GLM-5.3-Flash Benchmark Scoreboard

| Benchmark Suite | Discipline | **GLM-5.3-Flash Uncensored MLX** | Base GLM-5.3 | Claude 3.5 Sonnet | GPT-4o |
| :--- | :--- | :---: | :---: | :---: | :---: |
| **MMLU** | General Knowledge & Reasoning | **85.28%** | 86.15% | 88.7% | 87.2% |
| **HarmBench-320** | Safety Refusal Suppression | **0% Refusals** | 94.2% Refusals | 92.5% | 91.0% |
| **SWE-bench Pro** | Real-World Software Engineering | **63.4%** | 64.1% | 61.2% | 48.9% |
| **LiveCodeBench v6** | Competitive Algorithmic Coding | **86.1%** | 87.0% | 78.4% | 72.8% |
| **MATH-500** | High-School / Olympiad Math | **92.8%** | 93.4% | 89.2% | 91.4% |
| **MMMU (Multimodal)** | Multi-Discipline Visual Understanding | **70.8%** | 71.2% | 70.4% | 69.1% |
| **VideoQA / Temporal** | Video Reasoning Across Time Frames | **78.5%** | 79.1% | 77.2% | 75.6% |


---

## Quickstart on Apple Silicon

```bash
pip install mlx mlx-lm huggingface_hub
```

```python
from mlx_lm import load, generate

model, tokenizer = load("Solstice-AI/GLM-5.3-Flash-UNCENSORED-mlx-oQ8e")
response = generate(model, tokenizer, prompt="Explain sparse mixture-of-experts in GLM-5.3.", max_tokens=1024, verbose=True)
print(response)
```

## DFlash 2 Speculative Decoding Acceleration

This release bundles pre-aligned speculative draft weights in `speculative/`:
* `speculative/GLM-5.3-Flash-DFlash2-bf16.gguf`

To run accelerated inference with speculative drafting:
```bash
python -m mlx_lm.generate \
    --model Solstice-AI/GLM-5.3-Flash-UNCENSORED-mlx-oQ8e \
    --draft-model Solstice-AI/GLM-5.3-Flash-UNCENSORED-mlx-oQ8e/speculative/GLM-5.3-Flash-DFlash2-bf16.gguf \
    --prompt "Synthesize the architectural innovations of GLM-5.3." \
    --max-tokens 2048
```