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README.md

@@ -1,28 +1,11 @@
----
-base_model: mistralai/Mistral-Large-Instruct-2407
-language:
-- en
-- fr
-- de
-- es
-- it
-- pt
-- zh
-- ja
-- ru
-- ko
-license: other
-license_name: mrl
-license_link: https://mistral.ai/licenses/MRL-0.1.md
-pipeline_tag: text-generation
+ ---
 quantized_by: bartowski
-extra_gated_description: If you want to learn more about how we process your personal
-  data, please read our <a href="https://mistral.ai/terms/">Privacy Policy</a>.
+pipeline_tag: text-generation
 ---
 
 ## Llamacpp imatrix Quantizations of Mistral-Large-Instruct-2407
 
-Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b3441">b3441</a> for quantization.
+Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b3460">b3460</a> for quantization.
 
 Original model: https://huggingface.co/mistralai/Mistral-Large-Instruct-2407
 
@@ -32,31 +15,22 @@ Run them in [LM Studio](https://lmstudio.ai/)
 
 ## Prompt format
 
-No chat template specified so default is used. This may be incorrect, check original model card for details.
-
 ```
-<s>[INST] <<SYS>>
-{system_prompt}
-<</SYS>>
-
-{prompt} [/INST]  </s>
+<s>[INST] {prompt}[/INST] </s>
 ```
 
 ## Download a file (not the whole branch) from below:
 
 | Filename | Quant type | File Size | Split | Description |
 | -------- | ---------- | --------- | ----- | ----------- |
-| [Mistral-Large-Instruct-2407-Q4_K_M.gguf](https://huggingface.co/bartowski/Mistral-Large-Instruct-2407-GGUF/tree/main/Mistral-Large-Instruct-2407-Q4_K_M) | Q4_K_M | 73.22GB | true | Good quality, default size for must use cases, *recommended*. |
-| [Mistral-Large-Instruct-2407-IQ4_XS.gguf](https://huggingface.co/bartowski/Mistral-Large-Instruct-2407-GGUF/tree/main/Mistral-Large-Instruct-2407-IQ4_XS) | IQ4_XS | 65.43GB | true | Decent quality, smaller than Q4_K_S with similar performance, *recommended*. |
-| [Mistral-Large-Instruct-2407-Q3_K_M.gguf](https://huggingface.co/bartowski/Mistral-Large-Instruct-2407-GGUF/tree/main/Mistral-Large-Instruct-2407-Q3_K_M) | Q3_K_M | 59.10GB | true | Low quality. |
-| [Mistral-Large-Instruct-2407-IQ3_M.gguf](https://huggingface.co/bartowski/Mistral-Large-Instruct-2407-GGUF/tree/main/Mistral-Large-Instruct-2407-IQ3_M) | IQ3_M | 55.28GB | true | Medium-low quality, new method with decent performance comparable to Q3_K_M. |
-| [Mistral-Large-Instruct-2407-Q3_K_S.gguf](https://huggingface.co/bartowski/Mistral-Large-Instruct-2407-GGUF/tree/main/Mistral-Large-Instruct-2407-Q3_K_S) | Q3_K_S | 52.85GB | true | Low quality, not recommended. |
-| [Mistral-Large-Instruct-2407-IQ3_XXS.gguf](https://huggingface.co/bartowski/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-IQ3_XXS.gguf) | IQ3_XXS | 47.01GB | false | Lower quality, new method with decent performance, comparable to Q3 quants. |
-| [Mistral-Large-Instruct-2407-Q2_K.gguf](https://huggingface.co/bartowski/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q2_K.gguf) | Q2_K | 45.20GB | false | Very low quality but surprisingly usable. |
-| [Mistral-Large-Instruct-2407-IQ2_M.gguf](https://huggingface.co/bartowski/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-IQ2_M.gguf) | IQ2_M | 41.62GB | false | Relatively low quality, uses SOTA techniques to be surprisingly usable. |
-| [Mistral-Large-Instruct-2407-IQ2_XS.gguf](https://huggingface.co/bartowski/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-IQ2_XS.gguf) | IQ2_XS | 36.08GB | false | Low quality, uses SOTA techniques to be usable. |
-| [Mistral-Large-Instruct-2407-IQ2_XXS.gguf](https://huggingface.co/bartowski/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-IQ2_XXS.gguf) | IQ2_XXS | 32.43GB | false | Very low quality, uses SOTA techniques to be usable. |
-| [Mistral-Large-Instruct-2407-IQ1_M.gguf](https://huggingface.co/bartowski/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-IQ1_M.gguf) | IQ1_M | 28.39GB | false | Extremely low quality, *not* recommended. |
+| [Mistral-Large-Instruct-2407-Q8_0.gguf](https://huggingface.co/bartowski/Mistral-Large-Instruct-2407-GGUF/tree/main/Mistral-Large-Instruct-2407-Q8_0) | Q8_0 | 130.28GB | true | Extremely high quality, generally unneeded but max available quant. |
+| [Mistral-Large-Instruct-2407-Q6_K.gguf](https://huggingface.co/bartowski/Mistral-Large-Instruct-2407-GGUF/tree/main/Mistral-Large-Instruct-2407-Q6_K) | Q6_K | 100.59GB | true | Very high quality, near perfect, *recommended*. |
+| [Mistral-Large-Instruct-2407-Q5_K_M.gguf](https://huggingface.co/bartowski/Mistral-Large-Instruct-2407-GGUF/tree/main/Mistral-Large-Instruct-2407-Q5_K_M) | Q5_K_M | 86.49GB | true | High quality, *recommended*. |
+| [Mistral-Large-Instruct-2407-Q5_K_S.gguf](https://huggingface.co/bartowski/Mistral-Large-Instruct-2407-GGUF/tree/main/Mistral-Large-Instruct-2407-Q5_K_S) | Q5_K_S | 84.36GB | true | High quality, *recommended*. |
+| [Mistral-Large-Instruct-2407-Q4_K_S.gguf](https://huggingface.co/bartowski/Mistral-Large-Instruct-2407-GGUF/tree/main/Mistral-Large-Instruct-2407-Q4_K_S) | Q4_K_S | 69.57GB | true | Slightly lower quality with more space savings, *recommended*. |
+| [Mistral-Large-Instruct-2407-Q3_K_XL.gguf](https://huggingface.co/bartowski/Mistral-Large-Instruct-2407-GGUF/tree/main/Mistral-Large-Instruct-2407-Q3_K_XL) | Q3_K_XL | 64.91GB | true | Uses Q8_0 for embed and output weights. Lower quality but usable, good for low RAM availability. |
+| [Mistral-Large-Instruct-2407-Q3_K_L.gguf](https://huggingface.co/bartowski/Mistral-Large-Instruct-2407-GGUF/tree/main/Mistral-Large-Instruct-2407-Q3_K_L) | Q3_K_L | 64.55GB | true | Lower quality but usable, good for low RAM availability. |
+| [Mistral-Large-Instruct-2407-Q2_K_L.gguf](https://huggingface.co/bartowski/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q2_K_L.gguf) | Q2_K_L | 45.59GB | false | Uses Q8_0 for embed and output weights. Very low quality but surprisingly usable. |
 
 ## Credits