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  ---
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- base_model: Qwen/Qwen2.5-3B-Instruct
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- pipeline_tag: text-generation
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  quantized_by: bartowski
 
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  ---
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  ## Llamacpp imatrix Quantizations of Qwen2.5-3B-Instruct
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- Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b3751">b3751</a> for quantization.
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  Original model: https://huggingface.co/Qwen/Qwen2.5-3B-Instruct
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  | Filename | Quant type | File Size | Split | Description |
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  | -------- | ---------- | --------- | ----- | ----------- |
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- | [Qwen2.5-3B-Instruct-f32.gguf](https://huggingface.co/bartowski/Qwen2.5-3B-Instruct-GGUF/blob/main/Qwen2.5-3B-Instruct-f32.gguf) | f32 | 12.35GB | false | Full F32 weights. |
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  | [Qwen2.5-3B-Instruct-Q8_0.gguf](https://huggingface.co/bartowski/Qwen2.5-3B-Instruct-GGUF/blob/main/Qwen2.5-3B-Instruct-Q8_0.gguf) | Q8_0 | 3.29GB | false | Extremely high quality, generally unneeded but max available quant. |
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  | [Qwen2.5-3B-Instruct-Q6_K_L.gguf](https://huggingface.co/bartowski/Qwen2.5-3B-Instruct-GGUF/blob/main/Qwen2.5-3B-Instruct-Q6_K_L.gguf) | Q6_K_L | 2.61GB | false | Uses Q8_0 for embed and output weights. Very high quality, near perfect, *recommended*. |
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  | [Qwen2.5-3B-Instruct-Q6_K.gguf](https://huggingface.co/bartowski/Qwen2.5-3B-Instruct-GGUF/blob/main/Qwen2.5-3B-Instruct-Q6_K.gguf) | Q6_K | 2.54GB | false | Very high quality, near perfect, *recommended*. |
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  | [Qwen2.5-3B-Instruct-Q3_K_XL.gguf](https://huggingface.co/bartowski/Qwen2.5-3B-Instruct-GGUF/blob/main/Qwen2.5-3B-Instruct-Q3_K_XL.gguf) | Q3_K_XL | 1.78GB | false | Uses Q8_0 for embed and output weights. Lower quality but usable, good for low RAM availability. |
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  | [Qwen2.5-3B-Instruct-IQ4_XS.gguf](https://huggingface.co/bartowski/Qwen2.5-3B-Instruct-GGUF/blob/main/Qwen2.5-3B-Instruct-IQ4_XS.gguf) | IQ4_XS | 1.74GB | false | Decent quality, smaller than Q4_K_S with similar performance, *recommended*. |
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  | [Qwen2.5-3B-Instruct-Q3_K_L.gguf](https://huggingface.co/bartowski/Qwen2.5-3B-Instruct-GGUF/blob/main/Qwen2.5-3B-Instruct-Q3_K_L.gguf) | Q3_K_L | 1.71GB | false | Lower quality but usable, good for low RAM availability. |
 
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  | [Qwen2.5-3B-Instruct-IQ3_M.gguf](https://huggingface.co/bartowski/Qwen2.5-3B-Instruct-GGUF/blob/main/Qwen2.5-3B-Instruct-IQ3_M.gguf) | IQ3_M | 1.49GB | false | Medium-low quality, new method with decent performance comparable to Q3_K_M. |
 
 
 
 
 
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  ## Embed/output weights
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  ---
 
 
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  quantized_by: bartowski
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+ pipeline_tag: text-generation
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  ---
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  ## Llamacpp imatrix Quantizations of Qwen2.5-3B-Instruct
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+ Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b3772">b3772</a> for quantization.
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  Original model: https://huggingface.co/Qwen/Qwen2.5-3B-Instruct
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  | Filename | Quant type | File Size | Split | Description |
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  | -------- | ---------- | --------- | ----- | ----------- |
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+ | [Qwen2.5-3B-Instruct-f16.gguf](https://huggingface.co/bartowski/Qwen2.5-3B-Instruct-GGUF/blob/main/Qwen2.5-3B-Instruct-f16.gguf) | f16 | 6.18GB | false | Full F16 weights. |
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  | [Qwen2.5-3B-Instruct-Q8_0.gguf](https://huggingface.co/bartowski/Qwen2.5-3B-Instruct-GGUF/blob/main/Qwen2.5-3B-Instruct-Q8_0.gguf) | Q8_0 | 3.29GB | false | Extremely high quality, generally unneeded but max available quant. |
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  | [Qwen2.5-3B-Instruct-Q6_K_L.gguf](https://huggingface.co/bartowski/Qwen2.5-3B-Instruct-GGUF/blob/main/Qwen2.5-3B-Instruct-Q6_K_L.gguf) | Q6_K_L | 2.61GB | false | Uses Q8_0 for embed and output weights. Very high quality, near perfect, *recommended*. |
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  | [Qwen2.5-3B-Instruct-Q6_K.gguf](https://huggingface.co/bartowski/Qwen2.5-3B-Instruct-GGUF/blob/main/Qwen2.5-3B-Instruct-Q6_K.gguf) | Q6_K | 2.54GB | false | Very high quality, near perfect, *recommended*. |
 
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  | [Qwen2.5-3B-Instruct-Q3_K_XL.gguf](https://huggingface.co/bartowski/Qwen2.5-3B-Instruct-GGUF/blob/main/Qwen2.5-3B-Instruct-Q3_K_XL.gguf) | Q3_K_XL | 1.78GB | false | Uses Q8_0 for embed and output weights. Lower quality but usable, good for low RAM availability. |
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  | [Qwen2.5-3B-Instruct-IQ4_XS.gguf](https://huggingface.co/bartowski/Qwen2.5-3B-Instruct-GGUF/blob/main/Qwen2.5-3B-Instruct-IQ4_XS.gguf) | IQ4_XS | 1.74GB | false | Decent quality, smaller than Q4_K_S with similar performance, *recommended*. |
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  | [Qwen2.5-3B-Instruct-Q3_K_L.gguf](https://huggingface.co/bartowski/Qwen2.5-3B-Instruct-GGUF/blob/main/Qwen2.5-3B-Instruct-Q3_K_L.gguf) | Q3_K_L | 1.71GB | false | Lower quality but usable, good for low RAM availability. |
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+ | [Qwen2.5-3B-Instruct-Q3_K_M.gguf](https://huggingface.co/bartowski/Qwen2.5-3B-Instruct-GGUF/blob/main/Qwen2.5-3B-Instruct-Q3_K_M.gguf) | Q3_K_M | 1.59GB | false | Low quality. |
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  | [Qwen2.5-3B-Instruct-IQ3_M.gguf](https://huggingface.co/bartowski/Qwen2.5-3B-Instruct-GGUF/blob/main/Qwen2.5-3B-Instruct-IQ3_M.gguf) | IQ3_M | 1.49GB | false | Medium-low quality, new method with decent performance comparable to Q3_K_M. |
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+ | [Qwen2.5-3B-Instruct-Q3_K_S.gguf](https://huggingface.co/bartowski/Qwen2.5-3B-Instruct-GGUF/blob/main/Qwen2.5-3B-Instruct-Q3_K_S.gguf) | Q3_K_S | 1.45GB | false | Low quality, not recommended. |
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+ | [Qwen2.5-3B-Instruct-IQ3_XS.gguf](https://huggingface.co/bartowski/Qwen2.5-3B-Instruct-GGUF/blob/main/Qwen2.5-3B-Instruct-IQ3_XS.gguf) | IQ3_XS | 1.39GB | false | Lower quality, new method with decent performance, slightly better than Q3_K_S. |
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+ | [Qwen2.5-3B-Instruct-Q2_K_L.gguf](https://huggingface.co/bartowski/Qwen2.5-3B-Instruct-GGUF/blob/main/Qwen2.5-3B-Instruct-Q2_K_L.gguf) | Q2_K_L | 1.35GB | false | Uses Q8_0 for embed and output weights. Very low quality but surprisingly usable. |
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+ | [Qwen2.5-3B-Instruct-Q2_K.gguf](https://huggingface.co/bartowski/Qwen2.5-3B-Instruct-GGUF/blob/main/Qwen2.5-3B-Instruct-Q2_K.gguf) | Q2_K | 1.27GB | false | Very low quality but surprisingly usable. |
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+ | [Qwen2.5-3B-Instruct-IQ2_M.gguf](https://huggingface.co/bartowski/Qwen2.5-3B-Instruct-GGUF/blob/main/Qwen2.5-3B-Instruct-IQ2_M.gguf) | IQ2_M | 1.14GB | false | Relatively low quality, uses SOTA techniques to be surprisingly usable. |
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  ## Embed/output weights
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