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Phi-3.5-mini-instruct-Q2_K.gguf

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README.md

@@ -1,17 +1,20 @@
 ---
+license: mit
 license_link: https://huggingface.co/microsoft/Phi-3.5-mini-instruct/resolve/main/LICENSE
 language:
 - multilingual
-library_name: transformers
-license: mit
+pipeline_tag: text-generation
 tags:
-- unsloth
-- transformers
-- phi3
-- phi
+- nlp
+- code
 - TensorBlock
 - GGUF
-base_model: unsloth/Phi-3.5-mini-instruct
+widget:
+- messages:
+  - role: user
+    content: Can you provide ways to eat combinations of bananas and dragonfruits?
+library_name: transformers
+base_model: microsoft/Phi-3.5-mini-instruct
 ---
 
 <div style="width: auto; margin-left: auto; margin-right: auto">
@@ -25,9 +28,9 @@ base_model: unsloth/Phi-3.5-mini-instruct
     </div>
 </div>
 
-## unsloth/Phi-3.5-mini-instruct - GGUF
+## microsoft/Phi-3.5-mini-instruct - GGUF
 
-This repo contains GGUF format model files for [unsloth/Phi-3.5-mini-instruct](https://huggingface.co/unsloth/Phi-3.5-mini-instruct).
+This repo contains GGUF format model files for [microsoft/Phi-3.5-mini-instruct](https://huggingface.co/microsoft/Phi-3.5-mini-instruct).
 
 The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
 
@@ -45,16 +48,16 @@ The files were quantized using machines provided by [TensorBlock](https://tensor
 
 | Filename | Quant type | File Size | Description |
 | -------- | ---------- | --------- | ----------- |
-| [Phi-3.5-mini-instruct-Q2_K.gguf](https://huggingface.co/tensorblock/Phi-3.5-mini-instruct-GGUF/tree/main/Phi-3.5-mini-instruct-Q2_K.gguf) | Q2_K | 1.348 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Phi-3.5-mini-instruct-Q2_K.gguf](https://huggingface.co/tensorblock/Phi-3.5-mini-instruct-GGUF/tree/main/Phi-3.5-mini-instruct-Q2_K.gguf) | Q2_K | 1.319 GB | smallest, significant quality loss - not recommended for most purposes |
 | [Phi-3.5-mini-instruct-Q3_K_S.gguf](https://huggingface.co/tensorblock/Phi-3.5-mini-instruct-GGUF/tree/main/Phi-3.5-mini-instruct-Q3_K_S.gguf) | Q3_K_S | 1.566 GB | very small, high quality loss |
-| [Phi-3.5-mini-instruct-Q3_K_M.gguf](https://huggingface.co/tensorblock/Phi-3.5-mini-instruct-GGUF/tree/main/Phi-3.5-mini-instruct-Q3_K_M.gguf) | Q3_K_M | 1.749 GB | very small, high quality loss |
-| [Phi-3.5-mini-instruct-Q3_K_L.gguf](https://huggingface.co/tensorblock/Phi-3.5-mini-instruct-GGUF/tree/main/Phi-3.5-mini-instruct-Q3_K_L.gguf) | Q3_K_L | 1.905 GB | small, substantial quality loss |
+| [Phi-3.5-mini-instruct-Q3_K_M.gguf](https://huggingface.co/tensorblock/Phi-3.5-mini-instruct-GGUF/tree/main/Phi-3.5-mini-instruct-Q3_K_M.gguf) | Q3_K_M | 1.821 GB | very small, high quality loss |
+| [Phi-3.5-mini-instruct-Q3_K_L.gguf](https://huggingface.co/tensorblock/Phi-3.5-mini-instruct-GGUF/tree/main/Phi-3.5-mini-instruct-Q3_K_L.gguf) | Q3_K_L | 1.944 GB | small, substantial quality loss |
 | [Phi-3.5-mini-instruct-Q4_0.gguf](https://huggingface.co/tensorblock/Phi-3.5-mini-instruct-GGUF/tree/main/Phi-3.5-mini-instruct-Q4_0.gguf) | Q4_0 | 2.027 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
-| [Phi-3.5-mini-instruct-Q4_K_S.gguf](https://huggingface.co/tensorblock/Phi-3.5-mini-instruct-GGUF/tree/main/Phi-3.5-mini-instruct-Q4_K_S.gguf) | Q4_K_S | 2.043 GB | small, greater quality loss |
-| [Phi-3.5-mini-instruct-Q4_K_M.gguf](https://huggingface.co/tensorblock/Phi-3.5-mini-instruct-GGUF/tree/main/Phi-3.5-mini-instruct-Q4_K_M.gguf) | Q4_K_M | 2.160 GB | medium, balanced quality - recommended |
+| [Phi-3.5-mini-instruct-Q4_K_S.gguf](https://huggingface.co/tensorblock/Phi-3.5-mini-instruct-GGUF/tree/main/Phi-3.5-mini-instruct-Q4_K_S.gguf) | Q4_K_S | 2.038 GB | small, greater quality loss |
+| [Phi-3.5-mini-instruct-Q4_K_M.gguf](https://huggingface.co/tensorblock/Phi-3.5-mini-instruct-GGUF/tree/main/Phi-3.5-mini-instruct-Q4_K_M.gguf) | Q4_K_M | 2.229 GB | medium, balanced quality - recommended |
 | [Phi-3.5-mini-instruct-Q5_0.gguf](https://huggingface.co/tensorblock/Phi-3.5-mini-instruct-GGUF/tree/main/Phi-3.5-mini-instruct-Q5_0.gguf) | Q5_0 | 2.460 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
 | [Phi-3.5-mini-instruct-Q5_K_S.gguf](https://huggingface.co/tensorblock/Phi-3.5-mini-instruct-GGUF/tree/main/Phi-3.5-mini-instruct-Q5_K_S.gguf) | Q5_K_S | 2.460 GB | large, low quality loss - recommended |
-| [Phi-3.5-mini-instruct-Q5_K_M.gguf](https://huggingface.co/tensorblock/Phi-3.5-mini-instruct-GGUF/tree/main/Phi-3.5-mini-instruct-Q5_K_M.gguf) | Q5_K_M | 2.529 GB | large, very low quality loss - recommended |
+| [Phi-3.5-mini-instruct-Q5_K_M.gguf](https://huggingface.co/tensorblock/Phi-3.5-mini-instruct-GGUF/tree/main/Phi-3.5-mini-instruct-Q5_K_M.gguf) | Q5_K_M | 2.622 GB | large, very low quality loss - recommended |
 | [Phi-3.5-mini-instruct-Q6_K.gguf](https://huggingface.co/tensorblock/Phi-3.5-mini-instruct-GGUF/tree/main/Phi-3.5-mini-instruct-Q6_K.gguf) | Q6_K | 2.920 GB | very large, extremely low quality loss |
 | [Phi-3.5-mini-instruct-Q8_0.gguf](https://huggingface.co/tensorblock/Phi-3.5-mini-instruct-GGUF/tree/main/Phi-3.5-mini-instruct-Q8_0.gguf) | Q8_0 | 3.782 GB | very large, extremely low quality loss - not recommended |