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README.md

@@ -1,199 +1,11 @@
----
-base_model: meta-llama/Meta-Llama-3.1-70B-Instruct
-language:
-- en
-- de
-- fr
-- it
-- pt
-- hi
-- es
-- th
-library_name: transformers
-license: llama3.1
-pipeline_tag: text-generation
-tags:
-- facebook
-- meta
-- pytorch
-- llama
-- llama-3
+ ---
 quantized_by: bartowski
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+pipeline_tag: text-generation
 ---
 
 ## Llamacpp imatrix Quantizations of Meta-Llama-3.1-70B-Instruct
 
-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/b3472">b3472</a> for quantization.
 
 Original model: https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct
 
@@ -206,6 +18,9 @@ Run them in [LM Studio](https://lmstudio.ai/)
 ```
 <|begin_of_text|><|start_header_id|>system<|end_header_id|>
 
+Cutting Knowledge Date: December 2023
+Today Date: 26 Jul 2024
+
 {system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
 
 {prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
@@ -222,9 +37,14 @@ Run them in [LM Studio](https://lmstudio.ai/)
 | [Meta-Llama-3.1-70B-Instruct-Q6_K.gguf](https://huggingface.co/bartowski/Meta-Llama-3.1-70B-Instruct-GGUF/tree/main/Meta-Llama-3.1-70B-Instruct-Q6_K) | Q6_K | 57.89GB | true | Very high quality, near perfect, *recommended*. |
 | [Meta-Llama-3.1-70B-Instruct-Q5_K_L.gguf](https://huggingface.co/bartowski/Meta-Llama-3.1-70B-Instruct-GGUF/tree/main/Meta-Llama-3.1-70B-Instruct-Q5_K_L) | Q5_K_L | 50.60GB | true | Uses Q8_0 for embed and output weights. High quality, *recommended*. |
 | [Meta-Llama-3.1-70B-Instruct-Q5_K_M.gguf](https://huggingface.co/bartowski/Meta-Llama-3.1-70B-Instruct-GGUF/tree/main/Meta-Llama-3.1-70B-Instruct-Q5_K_M) | Q5_K_M | 49.95GB | true | High quality, *recommended*. |
+| [Meta-Llama-3.1-70B-Instruct-Q5_K_S.gguf](https://huggingface.co/bartowski/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-Q5_K_S.gguf) | Q5_K_S | 48.66GB | false | High quality, *recommended*. |
 | [Meta-Llama-3.1-70B-Instruct-Q4_K_L.gguf](https://huggingface.co/bartowski/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-Q4_K_L.gguf) | Q4_K_L | 43.30GB | false | Uses Q8_0 for embed and output weights. Good quality, *recommended*. |
 | [Meta-Llama-3.1-70B-Instruct-Q4_K_M.gguf](https://huggingface.co/bartowski/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-Q4_K_M.gguf) | Q4_K_M | 42.52GB | false | Good quality, default size for must use cases, *recommended*. |
+| [Meta-Llama-3.1-70B-Instruct-Q4_K_S.gguf](https://huggingface.co/bartowski/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-Q4_K_S.gguf) | Q4_K_S | 40.35GB | false | Slightly lower quality with more space savings, *recommended*. |
+| [Meta-Llama-3.1-70B-Instruct-Q3_K_XL.gguf](https://huggingface.co/bartowski/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-Q3_K_XL.gguf) | Q3_K_XL | 38.06GB | false | Uses Q8_0 for embed and output weights. Lower quality but usable, good for low RAM availability. |
 | [Meta-Llama-3.1-70B-Instruct-IQ4_XS.gguf](https://huggingface.co/bartowski/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-IQ4_XS.gguf) | IQ4_XS | 37.90GB | false | Decent quality, smaller than Q4_K_S with similar performance, *recommended*. |
+| [Meta-Llama-3.1-70B-Instruct-Q3_K_L.gguf](https://huggingface.co/bartowski/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-Q3_K_L.gguf) | Q3_K_L | 37.14GB | false | Lower quality but usable, good for low RAM availability. |
+| [Meta-Llama-3.1-70B-Instruct-Q3_K_M.gguf](https://huggingface.co/bartowski/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-Q3_K_M.gguf) | Q3_K_M | 34.27GB | false | Low quality. |
 | [Meta-Llama-3.1-70B-Instruct-IQ3_M.gguf](https://huggingface.co/bartowski/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-IQ3_M.gguf) | IQ3_M | 31.94GB | false | Medium-low quality, new method with decent performance comparable to Q3_K_M. |
 | [Meta-Llama-3.1-70B-Instruct-Q3_K_S.gguf](https://huggingface.co/bartowski/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-Q3_K_S.gguf) | Q3_K_S | 30.91GB | false | Low quality, not recommended. |
 | [Meta-Llama-3.1-70B-Instruct-IQ3_XS.gguf](https://huggingface.co/bartowski/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-IQ3_XS.gguf) | IQ3_XS | 29.31GB | false | Lower quality, new method with decent performance, slightly better than Q3_K_S. |