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@@ -4,8 +4,6 @@ quantized_by: bartowski
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  pipeline_tag: text-generation
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  ---
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- ### THIS MODEL IS UNDER EMBARGO - DO NOT SHARE DETAILS OF THIS MODEL.
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-
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  ## Llamacpp imatrix Quantizations of dolphin-2.9.2-qwen2-7b
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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/b2965">b2965</a> for quantization.
@@ -24,34 +22,6 @@ All quants made using imatrix option with dataset from [here](https://gist.githu
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  <|im_start|>assistant
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  ```
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-
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- ## Download a file (not the whole branch) from below:
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-
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- | Filename | Quant type | File Size | Description |
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- | -------- | ---------- | --------- | ----------- |
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- | [dolphin-2.9.2-qwen2-7b-Q8_0.gguf](https://huggingface.co/bartowski/dolphin-2.9.2-qwen2-7b-GGUF/blob/main/dolphin-2.9.2-qwen2-7b-Q8_0.gguf) | Q8_0 | 8.09GB | Extremely high quality, generally unneeded but max available quant. |
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- | [dolphin-2.9.2-qwen2-7b-Q6_K.gguf](https://huggingface.co/bartowski/dolphin-2.9.2-qwen2-7b-GGUF/blob/main/dolphin-2.9.2-qwen2-7b-Q6_K.gguf) | Q6_K | 6.25GB | Very high quality, near perfect, *recommended*. |
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- | [dolphin-2.9.2-qwen2-7b-Q5_K_M.gguf](https://huggingface.co/bartowski/dolphin-2.9.2-qwen2-7b-GGUF/blob/main/dolphin-2.9.2-qwen2-7b-Q5_K_M.gguf) | Q5_K_M | 5.44GB | High quality, *recommended*. |
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- | [dolphin-2.9.2-qwen2-7b-Q5_K_S.gguf](https://huggingface.co/bartowski/dolphin-2.9.2-qwen2-7b-GGUF/blob/main/dolphin-2.9.2-qwen2-7b-Q5_K_S.gguf) | Q5_K_S | 5.31GB | High quality, *recommended*. |
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- | [dolphin-2.9.2-qwen2-7b-Q4_K_M.gguf](https://huggingface.co/bartowski/dolphin-2.9.2-qwen2-7b-GGUF/blob/main/dolphin-2.9.2-qwen2-7b-Q4_K_M.gguf) | Q4_K_M | 4.68GB | Good quality, uses about 4.83 bits per weight, *recommended*. |
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- | [dolphin-2.9.2-qwen2-7b-Q4_K_S.gguf](https://huggingface.co/bartowski/dolphin-2.9.2-qwen2-7b-GGUF/blob/main/dolphin-2.9.2-qwen2-7b-Q4_K_S.gguf) | Q4_K_S | 4.45GB | Slightly lower quality with more space savings, *recommended*. |
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- | [dolphin-2.9.2-qwen2-7b-IQ4_NL.gguf](https://huggingface.co/bartowski/dolphin-2.9.2-qwen2-7b-GGUF/blob/main/dolphin-2.9.2-qwen2-7b-IQ4_NL.gguf) | IQ4_NL | 4.43GB | Decent quality, slightly smaller than Q4_K_S with similar performance *recommended*. |
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- | [dolphin-2.9.2-qwen2-7b-IQ4_XS.gguf](https://huggingface.co/bartowski/dolphin-2.9.2-qwen2-7b-GGUF/blob/main/dolphin-2.9.2-qwen2-7b-IQ4_XS.gguf) | IQ4_XS | 4.21GB | Decent quality, smaller than Q4_K_S with similar performance, *recommended*. |
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- | [dolphin-2.9.2-qwen2-7b-Q3_K_L.gguf](https://huggingface.co/bartowski/dolphin-2.9.2-qwen2-7b-GGUF/blob/main/dolphin-2.9.2-qwen2-7b-Q3_K_L.gguf) | Q3_K_L | 4.08GB | Lower quality but usable, good for low RAM availability. |
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- | [dolphin-2.9.2-qwen2-7b-Q3_K_M.gguf](https://huggingface.co/bartowski/dolphin-2.9.2-qwen2-7b-GGUF/blob/main/dolphin-2.9.2-qwen2-7b-Q3_K_M.gguf) | Q3_K_M | 3.80GB | Even lower quality. |
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- | [dolphin-2.9.2-qwen2-7b-IQ3_M.gguf](https://huggingface.co/bartowski/dolphin-2.9.2-qwen2-7b-GGUF/blob/main/dolphin-2.9.2-qwen2-7b-IQ3_M.gguf) | IQ3_M | 3.57GB | Medium-low quality, new method with decent performance comparable to Q3_K_M. |
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- | [dolphin-2.9.2-qwen2-7b-IQ3_S.gguf](https://huggingface.co/bartowski/dolphin-2.9.2-qwen2-7b-GGUF/blob/main/dolphin-2.9.2-qwen2-7b-IQ3_S.gguf) | IQ3_S | 3.49GB | Lower quality, new method with decent performance, recommended over Q3_K_S quant, same size with better performance. |
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- | [dolphin-2.9.2-qwen2-7b-Q3_K_S.gguf](https://huggingface.co/bartowski/dolphin-2.9.2-qwen2-7b-GGUF/blob/main/dolphin-2.9.2-qwen2-7b-Q3_K_S.gguf) | Q3_K_S | 3.49GB | Low quality, not recommended. |
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- | [dolphin-2.9.2-qwen2-7b-IQ3_XS.gguf](https://huggingface.co/bartowski/dolphin-2.9.2-qwen2-7b-GGUF/blob/main/dolphin-2.9.2-qwen2-7b-IQ3_XS.gguf) | IQ3_XS | 3.34GB | Lower quality, new method with decent performance, slightly better than Q3_K_S. |
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- | [dolphin-2.9.2-qwen2-7b-IQ3_XXS.gguf](https://huggingface.co/bartowski/dolphin-2.9.2-qwen2-7b-GGUF/blob/main/dolphin-2.9.2-qwen2-7b-IQ3_XXS.gguf) | IQ3_XXS | 3.11GB | Lower quality, new method with decent performance, comparable to Q3 quants. |
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- | [dolphin-2.9.2-qwen2-7b-Q2_K.gguf](https://huggingface.co/bartowski/dolphin-2.9.2-qwen2-7b-GGUF/blob/main/dolphin-2.9.2-qwen2-7b-Q2_K.gguf) | Q2_K | 3.01GB | Very low quality but surprisingly usable. |
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- | [dolphin-2.9.2-qwen2-7b-IQ2_M.gguf](https://huggingface.co/bartowski/dolphin-2.9.2-qwen2-7b-GGUF/blob/main/dolphin-2.9.2-qwen2-7b-IQ2_M.gguf) | IQ2_M | 2.78GB | Very low quality, uses SOTA techniques to also be surprisingly usable. |
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- | [dolphin-2.9.2-qwen2-7b-IQ2_S.gguf](https://huggingface.co/bartowski/dolphin-2.9.2-qwen2-7b-GGUF/blob/main/dolphin-2.9.2-qwen2-7b-IQ2_S.gguf) | IQ2_S | 2.59GB | Very low quality, uses SOTA techniques to be usable. |
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- | [dolphin-2.9.2-qwen2-7b-IQ2_XS.gguf](https://huggingface.co/bartowski/dolphin-2.9.2-qwen2-7b-GGUF/blob/main/dolphin-2.9.2-qwen2-7b-IQ2_XS.gguf) | IQ2_XS | 2.46GB | Very low quality, uses SOTA techniques to be usable. |
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- | [dolphin-2.9.2-qwen2-7b-IQ2_XXS.gguf](https://huggingface.co/bartowski/dolphin-2.9.2-qwen2-7b-GGUF/blob/main/dolphin-2.9.2-qwen2-7b-IQ2_XXS.gguf) | IQ2_XXS | 2.27GB | Lower quality, uses SOTA techniques to be usable. |
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- | [dolphin-2.9.2-qwen2-7b-IQ1_M.gguf](https://huggingface.co/bartowski/dolphin-2.9.2-qwen2-7b-GGUF/blob/main/dolphin-2.9.2-qwen2-7b-IQ1_M.gguf) | IQ1_M | 2.04GB | Extremely low quality, *not* recommended. |
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- | [dolphin-2.9.2-qwen2-7b-IQ1_S.gguf](https://huggingface.co/bartowski/dolphin-2.9.2-qwen2-7b-GGUF/blob/main/dolphin-2.9.2-qwen2-7b-IQ1_S.gguf) | IQ1_S | 1.90GB | Extremely low quality, *not* recommended. |
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-
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  ## Downloading using huggingface-cli
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  First, make sure you have hugginface-cli installed:
 
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  pipeline_tag: text-generation
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  ---
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  ## Llamacpp imatrix Quantizations of dolphin-2.9.2-qwen2-7b
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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/b2965">b2965</a> for quantization.
 
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  <|im_start|>assistant
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  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Downloading using huggingface-cli
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  First, make sure you have hugginface-cli installed: