|
126 | 126 | top_p: 1 |
127 | 127 | template: |
128 | 128 | use_tokenizer_template: true |
129 | | - files: |
130 | | - null |
| 129 | + files: null |
131 | 130 | - name: "carnice-v2-27b" |
132 | 131 | url: "github:mudler/LocalAI/gallery/virtual.yaml@master" |
133 | 132 | urls: |
|
175 | 174 | url: "github:mudler/LocalAI/gallery/virtual.yaml@master" |
176 | 175 | urls: |
177 | 176 | - https://huggingface.co/unsloth/Kimi-K2.6-GGUF |
178 | | - description: | |
179 | | - 🤗 huggingchat |
180 | | - | |
181 | | - 📰 Tech Blog |
182 | | - |
183 | | - ## 1. Model Introduction |
184 | | - |
185 | | - Kimi K2.6 is an open-source, native multimodal agentic model that advances practical capabilities in long-horizon coding, coding-driven design, proactive autonomous execution, and swarm-based task orchestration. |
186 | | - |
187 | | - ### Key Features |
188 | | - - **Long-Horizon Coding**: K2.6 achieves significant improvements on complex, end-to-end coding tasks, generalizing robustly across programming languages (Rust, Go, Python) and domains spanning front-end, DevOps, and performance optimization. |
189 | | - - **Coding-Driven Design**: K2.6 is capable of transforming simple prompts and visual inputs into production-ready interfaces and lightweight full-stack workflows, generating structured layouts, interactive elements, and rich animations with deliberate aesthetic precision. |
190 | | - - **Elevated Agent Swarm**: Scaling horizontally to 300 sub-agents executing 4,000 coordinated steps, K2.6 can dynamically decompose tasks into parallel, domain-specialized subtasks, delivering end-to-end outputs from documents to websites to spreadsheets in a single autonomous run. |
191 | | - - **Proactive & Open Orchestration**: For autonomous tasks, K2.6 demonstra |
192 | | - |
193 | | - ... |
| 177 | + description: "\U0001F917 huggingchat\n | \n\U0001F4F0 Tech Blog\n\n## 1. Model Introduction\n\nKimi K2.6 is an open-source, native multimodal agentic model that advances practical capabilities in long-horizon coding, coding-driven design, proactive autonomous execution, and swarm-based task orchestration.\n\n### Key Features\n - **Long-Horizon Coding**: K2.6 achieves significant improvements on complex, end-to-end coding tasks, generalizing robustly across programming languages (Rust, Go, Python) and domains spanning front-end, DevOps, and performance optimization.\n - **Coding-Driven Design**: K2.6 is capable of transforming simple prompts and visual inputs into production-ready interfaces and lightweight full-stack workflows, generating structured layouts, interactive elements, and rich animations with deliberate aesthetic precision.\n - **Elevated Agent Swarm**: Scaling horizontally to 300 sub-agents executing 4,000 coordinated steps, K2.6 can dynamically decompose tasks into parallel, domain-specialized subtasks, delivering end-to-end outputs from documents to websites to spreadsheets in a single autonomous run.\n - **Proactive & Open Orchestration**: For autonomous tasks, K2.6 demonstra\n\n...\n" |
194 | 178 | license: "other" |
195 | 179 | tags: |
196 | 180 | - llm |
|
713 | 697 | uri: https://huggingface.co/mudler/gemma-4-26B-A4B-it-APEX-GGUF/resolve/main/mmproj-F16.gguf |
714 | 698 | - filename: llama-cpp/models/gemma-4-26B-A4B-it-APEX-GGUF/gemma-4-26B-A4B-APEX-Quality.gguf |
715 | 699 | uri: https://huggingface.co/mudler/gemma-4-26B-A4B-it-APEX-GGUF/resolve/main/gemma-4-26B-A4B-APEX-Quality.gguf |
716 | | - sha256: e246e7a584333d96191edab22cd39191a2fd7749412105ab79ce74fed906d897 |
| 700 | + sha256: e92ab30c10422ff1863f0d57cf2c206ec3ae47b4903e70c672589dcb7cbec2c6 |
717 | 701 | - &gemma4 |
718 | 702 | url: "github:mudler/LocalAI/gallery/virtual.yaml@master" |
719 | 703 | name: "gemma-4-26b-a4b-it" |
|
838 | 822 | files: |
839 | 823 | - filename: gemma-4-31B-it-Q4_K_M.gguf |
840 | 824 | uri: huggingface://unsloth/gemma-4-31B-it-GGUF/gemma-4-31B-it-Q4_K_M.gguf |
841 | | - sha256: 3bf13fff7c0d4deff809b7ab168428f54855f3ef0279339dda278a81ea853474 |
| 825 | + sha256: 9fdf3dc8b0384830b4402d151388c140bd8eb2abf8d60588d8224231198254a1 |
842 | 826 | - filename: mmproj-F16.gguf |
843 | | - sha256: 1be2a32013e0d29c6c746513b5f5e7d38f47b694351e74a69c7172acdbbb11a6 |
844 | 827 | uri: https://huggingface.co/unsloth/gemma-4-31B-it-GGUF/resolve/main/mmproj-F16.gguf |
| 828 | + sha256: 6edcca228213c28d3567a35d22f849eea52d8360875093851959adf5d2f270eb |
845 | 829 | - name: "qwen3.5-35b-a3b-apex" |
846 | 830 | url: "github:mudler/LocalAI/gallery/virtual.yaml@master" |
847 | 831 | urls: |
|
2317 | 2301 | - filename: llama-cpp/models/GLM-4.7-Flash-Q4_K_M.gguf |
2318 | 2302 | uri: https://huggingface.co/unsloth/GLM-4.7-Flash-GGUF/resolve/main/GLM-4.7-Flash-Q4_K_M.gguf |
2319 | 2303 | sha256: 29837ed2c0fc5f51981adf8ac8083fcf80743c598381f13e9f06cbad0498b174 |
2320 | | - |
2321 | 2304 | - name: "qwen3-vl-embedding-8b" |
2322 | 2305 | url: "github:mudler/LocalAI/gallery/virtual.yaml@master" |
2323 | 2306 | urls: |
|
0 commit comments