GLM-4.7-Flash-Coder-GGUF
☕ If this GGUF made your day easier, a coffee would make mine. Send a coffee ☕ I build and test these releases myself. Your coffee helps keep me going. Thank you for supporting this work. GLM-4.7-Flash-Coder is an agentic coding fine-tune of `zai-org/GLM-4.7-Flash`. The upstream model card describes a 30B Mixture-of-Experts model trained on software-engineering trajectories, with tool use, reasoning, and concurrent tool-call behavior. The upstream training configuration uses a 75k-token sequence length; its model configuration declares a 202,752-token maximum position limit. This release does not claim long-context behavior beyond the runtime validation documented below. The model uses the GLM-4.7 Flash chat template and XML-style tool calls. See the official upstream model card for the original model, training, and evaluation details.
번역 준비 중입니다. 원문을 표시합니다.
☕ If this GGUF made your day easier, a coffee would make mine. Send a coffee ☕ I build and test these releases myself. Your coffee helps keep me going. Thank you for supporting this work. GLM-4.7-Flash-Coder is an agentic coding fine-tune of `zai-org/GLM-4.7-Flash`. The upstream model card describes a 30B Mixture-of-Experts model trained on software-engineering trajectories, with tool use, reasoning, and concurrent tool-call behavior. The upstream training configuration uses a 75k-token sequence length; its model configuration declares a 202,752-token maximum position limit. This release does not claim long-context behavior beyond the runtime validation documented below. The model uses the GLM-4.7 Flash chat template and XML-style tool calls. See the official upstream model card for the original model, training, and evaluation details.
AI가 움직이고 미래가 업데이트됩니다.