Views
No views yet
| Forge | |
|---|---|
 | |
| An OpenAI-compatible multi-provider routing layer. | |
| 🚀 Try it now! 🚀 | |
| Awesome MCP Servers | TensorBlock Studio |
 |  |
| A comprehensive collection of Model Context Protocol (MCP) servers. | A lightweight, open, and extensible multi-LLM interaction studio. |
| 👀 See what we built 👀 | 👀 See what we built 👀 |
<|im_start|>system<|im_sep|>{system_prompt}<|im_end|><|im_start|>user<|im_sep|>{prompt}<|im_end|><|im_start|>assistant<|im_sep|>| Filename | Quant type | File Size | Description |
|---|---|---|---|
| phi-4-Q2_K.gguf | Q2_K | 5.547 GB | smallest, significant quality loss - not recommended for most purposes |
| phi-4-Q3_K_S.gguf | Q3_K_S | 6.505 GB | very small, high quality loss |
| phi-4-Q3_K_M.gguf | Q3_K_M | 7.363 GB | very small, high quality loss |
| phi-4-Q3_K_L.gguf | Q3_K_L | 7.930 GB | small, substantial quality loss |
| phi-4-Q4_0.gguf | Q4_0 | 8.383 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| phi-4-Q4_K_S.gguf | Q4_K_S | 8.441 GB | small, greater quality loss |
| phi-4-Q4_K_M.gguf | Q4_K_M | 9.053 GB | medium, balanced quality - recommended |
| phi-4-Q5_0.gguf | Q5_0 | 10.152 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| phi-4-Q5_K_S.gguf | Q5_K_S | 10.152 GB | large, low quality loss - recommended |
| phi-4-Q5_K_M.gguf | Q5_K_M | 10.604 GB | large, very low quality loss - recommended |
| phi-4-Q6_K.gguf | Q6_K | 12.030 GB | very large, extremely low quality loss |
| phi-4-Q8_0.gguf | Q8_0 | 15.581 GB | very large, extremely low quality loss - not recommended |
pip install -U "huggingface_hub[cli]"huggingface-cli download tensorblock/phi-4-GGUF --include "phi-4-Q2_K.gguf" --local-dir MY_LOCAL_DIR*Q4_K*gguf), you can try:huggingface-cli download tensorblock/phi-4-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'