@loktar00: Can you believe this is NOT an image model, this is running locally in my house on my 3090s, GLM 5.3 Flash. Absolutely …
Summary
开发者 loktar00 展示 GLM 5.3 Flash 在本地 RTX 3090 显卡上通过 JavaScript 直接生成图像(而非专门的图像模型),展示了开源模型在消费级硬件上的强大本地推理能力。
View Cached Full Text
Cached at: 10/11/26, 03:01 AM
Can you believe this is NOT an image model, this is running locally in my house on my 3090s, GLM 5.3 Flash.
Absolutely stunned right now, ALL DONE IN JAVASCRIPT!! https://t.co/M3NKf1Zscn
Similar Articles
GLM 5.3 Flash makes a black hole Minecraft mod running locally on 4x RTX PRO 6000 WS
A user showcased using GLM 5.3 Flash, a local AI model running on 4x RTX PRO 6000 hardware, to iteratively develop a Minecraft black hole rifle mod with the Fabric API, resulting in a functional mod with impressive visuals shared on GitHub.
@lxfater: Two old V100s can also run the 321 billion parameter GLM-5.3-Flash locally!! This open-source project is called Project…
开源项目 Project Maya 基于 Strata 引擎并适配 GLM,让两张 V100 32GB 显卡加约 32GB 内存和 NVMe SSD 即可本地运行 3210 亿参数的 GLM-5.3-Flash,生成速度可达 40 tokens/s,还内置 Web 聊天、图像理解和 OpenAI/Anthropic API 兼容。
@YRSM_Simon: Spent all day today using the local GLM 5.3 Flash to develop my product. 2k+ prefill, 50+ tokens per second, and the quality is quite good. I didn't notice a significant difference compared to Sol 5.6. For a Coding Agent, currently, no model makes me feel like it's absolutely necessary.
A developer shares their experience using local GLM 5.3 Flash for product development and mentions OpenAI ending its partnership with Cursor.
An 80B MoE (Qwen3-Next, 48 GB GGUF) answering in a Chrome tab: llama.cpp's WebGPU backend, experts paged in from disk
作者将上周的 MoE 专家按需从磁盘流式加载的方案接入 llama.cpp 的 WebGPU 后端,使 80B MoE 模型(Qwen3-Next,48GB GGUF)也能在 Chrome 标签页中运行,无需为每个模型手写引擎。该方案新增了 ggml-webgpu 的缓冲类型、slot 映射的 MUL_MAT_ID 着色器和驻留逻辑,实测在 M4 Pro MacBook 上以 2.9 tok/s 解码 80B 模型,较小模型可达 22 tok/s。
GLM 5.3 and GLM 5.3 Flash ran locally on RTX PRO 6000 WS and built a penthouse using BlenderMCP
Author ran GLM 5.3 and GLM 5.3 Flash models locally on RTX PRO 6000 WS hardware to create a 3D penthouse scene in Blender using BlenderMCP, comparing performance and accuracy.