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README.md

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 ---
-license: other
-license_name: qwen-research
-license_link: https://huggingface.co/Qwen/Qwen2.5-3B/blob/main/LICENSE
+base_model: unsloth/Qwen2.5-3B
 language:
 - en
-pipeline_tag: text-generation
-base_model: Qwen/Qwen2.5-3B
+library_name: transformers
+license: other
 tags:
+- unsloth
+- transformers
 - TensorBlock
 - GGUF
 ---
@@ -22,13 +22,12 @@ tags:
     </div>
 </div>
 
-## Qwen/Qwen2.5-3B - GGUF
+## unsloth/Qwen2.5-3B - GGUF
 
-This repo contains GGUF format model files for [Qwen/Qwen2.5-3B](https://huggingface.co/Qwen/Qwen2.5-3B).
+This repo contains GGUF format model files for [unsloth/Qwen2.5-3B](https://huggingface.co/unsloth/Qwen2.5-3B).
 
 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 ↗
@@ -37,31 +36,26 @@ The files were quantized using machines provided by [TensorBlock](https://tensor
 
 ## Prompt template
 
-
 ```
-<|im_start|>system
-{system_prompt}<|im_end|>
-<|im_start|>user
-{prompt}<|im_end|>
-<|im_start|>assistant
+
 ```
 
 ## Model file specification
 
 | Filename | Quant type | File Size | Description |
 | -------- | ---------- | --------- | ----------- |
-| [Qwen2.5-3B-Q2_K.gguf](https://huggingface.co/tensorblock/Qwen2.5-3B-GGUF/blob/main/Qwen2.5-3B-Q2_K.gguf) | Q2_K | 1.187 GB | smallest, significant quality loss - not recommended for most purposes |
-| [Qwen2.5-3B-Q3_K_S.gguf](https://huggingface.co/tensorblock/Qwen2.5-3B-GGUF/blob/main/Qwen2.5-3B-Q3_K_S.gguf) | Q3_K_S | 1.354 GB | very small, high quality loss |
-| [Qwen2.5-3B-Q3_K_M.gguf](https://huggingface.co/tensorblock/Qwen2.5-3B-GGUF/blob/main/Qwen2.5-3B-Q3_K_M.gguf) | Q3_K_M | 1.481 GB | very small, high quality loss |
-| [Qwen2.5-3B-Q3_K_L.gguf](https://huggingface.co/tensorblock/Qwen2.5-3B-GGUF/blob/main/Qwen2.5-3B-Q3_K_L.gguf) | Q3_K_L | 1.590 GB | small, substantial quality loss |
-| [Qwen2.5-3B-Q4_0.gguf](https://huggingface.co/tensorblock/Qwen2.5-3B-GGUF/blob/main/Qwen2.5-3B-Q4_0.gguf) | Q4_0 | 1.698 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
-| [Qwen2.5-3B-Q4_K_S.gguf](https://huggingface.co/tensorblock/Qwen2.5-3B-GGUF/blob/main/Qwen2.5-3B-Q4_K_S.gguf) | Q4_K_S | 1.708 GB | small, greater quality loss |
-| [Qwen2.5-3B-Q4_K_M.gguf](https://huggingface.co/tensorblock/Qwen2.5-3B-GGUF/blob/main/Qwen2.5-3B-Q4_K_M.gguf) | Q4_K_M | 1.797 GB | medium, balanced quality - recommended |
-| [Qwen2.5-3B-Q5_0.gguf](https://huggingface.co/tensorblock/Qwen2.5-3B-GGUF/blob/main/Qwen2.5-3B-Q5_0.gguf) | Q5_0 | 2.021 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
-| [Qwen2.5-3B-Q5_K_S.gguf](https://huggingface.co/tensorblock/Qwen2.5-3B-GGUF/blob/main/Qwen2.5-3B-Q5_K_S.gguf) | Q5_K_S | 2.021 GB | large, low quality loss - recommended |
-| [Qwen2.5-3B-Q5_K_M.gguf](https://huggingface.co/tensorblock/Qwen2.5-3B-GGUF/blob/main/Qwen2.5-3B-Q5_K_M.gguf) | Q5_K_M | 2.072 GB | large, very low quality loss - recommended |
-| [Qwen2.5-3B-Q6_K.gguf](https://huggingface.co/tensorblock/Qwen2.5-3B-GGUF/blob/main/Qwen2.5-3B-Q6_K.gguf) | Q6_K | 2.364 GB | very large, extremely low quality loss |
-| [Qwen2.5-3B-Q8_0.gguf](https://huggingface.co/tensorblock/Qwen2.5-3B-GGUF/blob/main/Qwen2.5-3B-Q8_0.gguf) | Q8_0 | 3.060 GB | very large, extremely low quality loss - not recommended |
+| [Qwen2.5-3B-Q2_K.gguf](https://huggingface.co/tensorblock/Qwen2.5-3B-GGUF/blob/main/Qwen2.5-3B-Q2_K.gguf) | Q2_K | 1.275 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Qwen2.5-3B-Q3_K_S.gguf](https://huggingface.co/tensorblock/Qwen2.5-3B-GGUF/blob/main/Qwen2.5-3B-Q3_K_S.gguf) | Q3_K_S | 1.454 GB | very small, high quality loss |
+| [Qwen2.5-3B-Q3_K_M.gguf](https://huggingface.co/tensorblock/Qwen2.5-3B-GGUF/blob/main/Qwen2.5-3B-Q3_K_M.gguf) | Q3_K_M | 1.590 GB | very small, high quality loss |
+| [Qwen2.5-3B-Q3_K_L.gguf](https://huggingface.co/tensorblock/Qwen2.5-3B-GGUF/blob/main/Qwen2.5-3B-Q3_K_L.gguf) | Q3_K_L | 1.707 GB | small, substantial quality loss |
+| [Qwen2.5-3B-Q4_0.gguf](https://huggingface.co/tensorblock/Qwen2.5-3B-GGUF/blob/main/Qwen2.5-3B-Q4_0.gguf) | Q4_0 | 1.823 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Qwen2.5-3B-Q4_K_S.gguf](https://huggingface.co/tensorblock/Qwen2.5-3B-GGUF/blob/main/Qwen2.5-3B-Q4_K_S.gguf) | Q4_K_S | 1.834 GB | small, greater quality loss |
+| [Qwen2.5-3B-Q4_K_M.gguf](https://huggingface.co/tensorblock/Qwen2.5-3B-GGUF/blob/main/Qwen2.5-3B-Q4_K_M.gguf) | Q4_K_M | 1.930 GB | medium, balanced quality - recommended |
+| [Qwen2.5-3B-Q5_0.gguf](https://huggingface.co/tensorblock/Qwen2.5-3B-GGUF/blob/main/Qwen2.5-3B-Q5_0.gguf) | Q5_0 | 2.170 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Qwen2.5-3B-Q5_K_S.gguf](https://huggingface.co/tensorblock/Qwen2.5-3B-GGUF/blob/main/Qwen2.5-3B-Q5_K_S.gguf) | Q5_K_S | 2.170 GB | large, low quality loss - recommended |
+| [Qwen2.5-3B-Q5_K_M.gguf](https://huggingface.co/tensorblock/Qwen2.5-3B-GGUF/blob/main/Qwen2.5-3B-Q5_K_M.gguf) | Q5_K_M | 2.225 GB | large, very low quality loss - recommended |
+| [Qwen2.5-3B-Q6_K.gguf](https://huggingface.co/tensorblock/Qwen2.5-3B-GGUF/blob/main/Qwen2.5-3B-Q6_K.gguf) | Q6_K | 2.538 GB | very large, extremely low quality loss |
+| [Qwen2.5-3B-Q8_0.gguf](https://huggingface.co/tensorblock/Qwen2.5-3B-GGUF/blob/main/Qwen2.5-3B-Q8_0.gguf) | Q8_0 | 3.285 GB | very large, extremely low quality loss - not recommended |
 
 
 ## Downloading instruction