kopyl/glm52-ollama-setup
GLM-5.2 (abliterated) on llama.cpp + opencode: two-pod workflow Runs huihui-ai/Huihui-GLM-5.2-abliterated-GGUF (quant UD-Q3_K_M, 342.7 GB) with llama.cpp (CUDA) on 6x RTX PRO 6000 (96 GB) and chats with it through opencode. No building and no installing on the pods: the CPU pod only downloads, the GPU pod only starts the server. The model is an abliterated (refusal-reduced) build of zai-org/GLM-5.2 (MIT). The author left the first 12 layers and all expert modules un-ablated, so… See the full description on the dataset page: https://huggingface.co/datasets/kopyl/glm52-ollama-setup.
| Author / organization | kopyl |
|---|---|
| Downloads | 148 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 24 October 2026 |
| Last updated at source | 24 October 2026 |
Popularity, last 3 days
148 now (+148 since 2026-10-24). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 24 Oct 2026 Description: GLM-5.2 (abliterated) + Ollama + opencode: fresh-server bundle Everything needed to stand up Ollama serving huihui-ai/Huihui-GLM-5.2-abliterated-GGUF (quant UD-Q3_K_M) and chat with it through opencode, on a new server. The model is an abli → GLM-5.2 (abliterated) on llama.cpp + opencode: two-pod workflow Runs huihui-ai/Huihui-GLM-5.2-abliterated-GGUF (quant UD-Q3_K_M, 342.7 GB) with llama.cpp (CUDA) on 6x RTX PRO 6000 (96 GB) and chats with it through opencode. No building and
Changes detected by Silytics between refreshes of the source.
More from kopyl
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 26 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.