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Qwen2.5-Coder-1.5B-Instruct-Q2_K.gguf

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README.md

@@ -1,17 +1,12 @@
 ---
-license: apache-2.0
-license_link: https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct/blob/main/LICENSE
+base_model: unsloth/Qwen2.5-Coder-1.5B-Instruct
 language:
 - en
-base_model: Qwen/Qwen2.5-Coder-1.5B-Instruct
-pipeline_tag: text-generation
 library_name: transformers
+license: apache-2.0
 tags:
-- code
-- codeqwen
-- chat
-- qwen
-- qwen-coder
+- unsloth
+- transformers
 - TensorBlock
 - GGUF
 ---
@@ -27,13 +22,12 @@ tags:
     </div>
 </div>
 
-## Qwen/Qwen2.5-Coder-1.5B-Instruct - GGUF
+## unsloth/Qwen2.5-Coder-1.5B-Instruct - GGUF
 
-This repo contains GGUF format model files for [Qwen/Qwen2.5-Coder-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct).
+This repo contains GGUF format model files for [unsloth/Qwen2.5-Coder-1.5B-Instruct](https://huggingface.co/unsloth/Qwen2.5-Coder-1.5B-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).
 
-
 <div style="text-align: left; margin: 20px 0;">
     <a href="https://tensorblock.co/waitlist/client" style="display: inline-block; padding: 10px 20px; background-color: #007bff; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;">
         Run them on the TensorBlock client using your local machine ↗
@@ -42,7 +36,6 @@ The files were quantized using machines provided by [TensorBlock](https://tensor
 
 ## Prompt template
 
-
 ```
 <|im_start|>system
 {system_prompt}<|im_end|>
@@ -55,18 +48,18 @@ The files were quantized using machines provided by [TensorBlock](https://tensor
 
 | Filename | Quant type | File Size | Description |
 | -------- | ---------- | --------- | ----------- |
-| [Qwen2.5-Coder-1.5B-Instruct-Q2_K.gguf](https://huggingface.co/tensorblock/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q2_K.gguf) | Q2_K | 0.630 GB | smallest, significant quality loss - not recommended for most purposes |
-| [Qwen2.5-Coder-1.5B-Instruct-Q3_K_S.gguf](https://huggingface.co/tensorblock/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q3_K_S.gguf) | Q3_K_S | 0.709 GB | very small, high quality loss |
-| [Qwen2.5-Coder-1.5B-Instruct-Q3_K_M.gguf](https://huggingface.co/tensorblock/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q3_K_M.gguf) | Q3_K_M | 0.768 GB | very small, high quality loss |
-| [Qwen2.5-Coder-1.5B-Instruct-Q3_K_L.gguf](https://huggingface.co/tensorblock/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q3_K_L.gguf) | Q3_K_L | 0.820 GB | small, substantial quality loss |
-| [Qwen2.5-Coder-1.5B-Instruct-Q4_0.gguf](https://huggingface.co/tensorblock/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q4_0.gguf) | Q4_0 | 0.871 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
-| [Qwen2.5-Coder-1.5B-Instruct-Q4_K_S.gguf](https://huggingface.co/tensorblock/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q4_K_S.gguf) | Q4_K_S | 0.876 GB | small, greater quality loss |
-| [Qwen2.5-Coder-1.5B-Instruct-Q4_K_M.gguf](https://huggingface.co/tensorblock/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q4_K_M.gguf) | Q4_K_M | 0.918 GB | medium, balanced quality - recommended |
-| [Qwen2.5-Coder-1.5B-Instruct-Q5_0.gguf](https://huggingface.co/tensorblock/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q5_0.gguf) | Q5_0 | 1.023 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
-| [Qwen2.5-Coder-1.5B-Instruct-Q5_K_S.gguf](https://huggingface.co/tensorblock/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q5_K_S.gguf) | Q5_K_S | 1.023 GB | large, low quality loss - recommended |
-| [Qwen2.5-Coder-1.5B-Instruct-Q5_K_M.gguf](https://huggingface.co/tensorblock/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q5_K_M.gguf) | Q5_K_M | 1.048 GB | large, very low quality loss - recommended |
-| [Qwen2.5-Coder-1.5B-Instruct-Q6_K.gguf](https://huggingface.co/tensorblock/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q6_K.gguf) | Q6_K | 1.185 GB | very large, extremely low quality loss |
-| [Qwen2.5-Coder-1.5B-Instruct-Q8_0.gguf](https://huggingface.co/tensorblock/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q8_0.gguf) | Q8_0 | 1.533 GB | very large, extremely low quality loss - not recommended |
+| [Qwen2.5-Coder-1.5B-Instruct-Q2_K.gguf](https://huggingface.co/tensorblock/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q2_K.gguf) | Q2_K | 0.676 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Qwen2.5-Coder-1.5B-Instruct-Q3_K_S.gguf](https://huggingface.co/tensorblock/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q3_K_S.gguf) | Q3_K_S | 0.761 GB | very small, high quality loss |
+| [Qwen2.5-Coder-1.5B-Instruct-Q3_K_M.gguf](https://huggingface.co/tensorblock/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q3_K_M.gguf) | Q3_K_M | 0.824 GB | very small, high quality loss |
+| [Qwen2.5-Coder-1.5B-Instruct-Q3_K_L.gguf](https://huggingface.co/tensorblock/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q3_K_L.gguf) | Q3_K_L | 0.880 GB | small, substantial quality loss |
+| [Qwen2.5-Coder-1.5B-Instruct-Q4_0.gguf](https://huggingface.co/tensorblock/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q4_0.gguf) | Q4_0 | 0.935 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Qwen2.5-Coder-1.5B-Instruct-Q4_K_S.gguf](https://huggingface.co/tensorblock/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q4_K_S.gguf) | Q4_K_S | 0.940 GB | small, greater quality loss |
+| [Qwen2.5-Coder-1.5B-Instruct-Q4_K_M.gguf](https://huggingface.co/tensorblock/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q4_K_M.gguf) | Q4_K_M | 0.986 GB | medium, balanced quality - recommended |
+| [Qwen2.5-Coder-1.5B-Instruct-Q5_0.gguf](https://huggingface.co/tensorblock/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q5_0.gguf) | Q5_0 | 1.099 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Qwen2.5-Coder-1.5B-Instruct-Q5_K_S.gguf](https://huggingface.co/tensorblock/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q5_K_S.gguf) | Q5_K_S | 1.099 GB | large, low quality loss - recommended |
+| [Qwen2.5-Coder-1.5B-Instruct-Q5_K_M.gguf](https://huggingface.co/tensorblock/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q5_K_M.gguf) | Q5_K_M | 1.125 GB | large, very low quality loss - recommended |
+| [Qwen2.5-Coder-1.5B-Instruct-Q6_K.gguf](https://huggingface.co/tensorblock/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q6_K.gguf) | Q6_K | 1.273 GB | very large, extremely low quality loss |
+| [Qwen2.5-Coder-1.5B-Instruct-Q8_0.gguf](https://huggingface.co/tensorblock/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q8_0.gguf) | Q8_0 | 1.647 GB | very large, extremely low quality loss - not recommended |
 
 
 ## Downloading instruction