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README.md

@@ -10,9 +10,8 @@ tags:
 - llama-3
 - TensorBlock
 - GGUF
-license: other
-license_name: llama3
-license_link: LICENSE
+license: llama3
+new_version: meta-llama/Llama-3.1-8B
 extra_gated_prompt: "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version\
   \ Release Date: April 18, 2024\n\"Agreement\" means the terms and conditions for\
   \ use, reproduction, distribution and modification of the Llama Materials set forth\
@@ -177,7 +176,7 @@ extra_gated_fields:
 extra_gated_description: The information you provide will be collected, stored, processed
   and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/).
 extra_gated_button_content: Submit
-base_model: NousResearch/Meta-Llama-3-8B
+base_model: meta-llama/Meta-Llama-3-8B
 ---
 
 <div style="width: auto; margin-left: auto; margin-right: auto">
@@ -191,13 +190,12 @@ base_model: NousResearch/Meta-Llama-3-8B
     </div>
 </div>
 
-## NousResearch/Meta-Llama-3-8B - GGUF
+## meta-llama/Meta-Llama-3-8B - GGUF
 
-This repo contains GGUF format model files for [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B).
+This repo contains GGUF format model files for [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B).
 
 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 ↗
@@ -206,7 +204,6 @@ The files were quantized using machines provided by [TensorBlock](https://tensor
 
 ## Prompt template
 
-
 ```
 
 ```
@@ -215,18 +212,18 @@ The files were quantized using machines provided by [TensorBlock](https://tensor
 
 | Filename | Quant type | File Size | Description |
 | -------- | ---------- | --------- | ----------- |
-| [Meta-Llama-3-8B-Q2_K.gguf](https://huggingface.co/tensorblock/Meta-Llama-3-8B-GGUF/blob/main/Meta-Llama-3-8B-Q2_K.gguf) | Q2_K | 2.961 GB | smallest, significant quality loss - not recommended for most purposes |
-| [Meta-Llama-3-8B-Q3_K_S.gguf](https://huggingface.co/tensorblock/Meta-Llama-3-8B-GGUF/blob/main/Meta-Llama-3-8B-Q3_K_S.gguf) | Q3_K_S | 3.413 GB | very small, high quality loss |
-| [Meta-Llama-3-8B-Q3_K_M.gguf](https://huggingface.co/tensorblock/Meta-Llama-3-8B-GGUF/blob/main/Meta-Llama-3-8B-Q3_K_M.gguf) | Q3_K_M | 3.743 GB | very small, high quality loss |
-| [Meta-Llama-3-8B-Q3_K_L.gguf](https://huggingface.co/tensorblock/Meta-Llama-3-8B-GGUF/blob/main/Meta-Llama-3-8B-Q3_K_L.gguf) | Q3_K_L | 4.025 GB | small, substantial quality loss |
-| [Meta-Llama-3-8B-Q4_0.gguf](https://huggingface.co/tensorblock/Meta-Llama-3-8B-GGUF/blob/main/Meta-Llama-3-8B-Q4_0.gguf) | Q4_0 | 4.341 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
-| [Meta-Llama-3-8B-Q4_K_S.gguf](https://huggingface.co/tensorblock/Meta-Llama-3-8B-GGUF/blob/main/Meta-Llama-3-8B-Q4_K_S.gguf) | Q4_K_S | 4.370 GB | small, greater quality loss |
-| [Meta-Llama-3-8B-Q4_K_M.gguf](https://huggingface.co/tensorblock/Meta-Llama-3-8B-GGUF/blob/main/Meta-Llama-3-8B-Q4_K_M.gguf) | Q4_K_M | 4.583 GB | medium, balanced quality - recommended |
-| [Meta-Llama-3-8B-Q5_0.gguf](https://huggingface.co/tensorblock/Meta-Llama-3-8B-GGUF/blob/main/Meta-Llama-3-8B-Q5_0.gguf) | Q5_0 | 5.215 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
-| [Meta-Llama-3-8B-Q5_K_S.gguf](https://huggingface.co/tensorblock/Meta-Llama-3-8B-GGUF/blob/main/Meta-Llama-3-8B-Q5_K_S.gguf) | Q5_K_S | 5.215 GB | large, low quality loss - recommended |
-| [Meta-Llama-3-8B-Q5_K_M.gguf](https://huggingface.co/tensorblock/Meta-Llama-3-8B-GGUF/blob/main/Meta-Llama-3-8B-Q5_K_M.gguf) | Q5_K_M | 5.339 GB | large, very low quality loss - recommended |
-| [Meta-Llama-3-8B-Q6_K.gguf](https://huggingface.co/tensorblock/Meta-Llama-3-8B-GGUF/blob/main/Meta-Llama-3-8B-Q6_K.gguf) | Q6_K | 6.143 GB | very large, extremely low quality loss |
-| [Meta-Llama-3-8B-Q8_0.gguf](https://huggingface.co/tensorblock/Meta-Llama-3-8B-GGUF/blob/main/Meta-Llama-3-8B-Q8_0.gguf) | Q8_0 | 7.954 GB | very large, extremely low quality loss - not recommended |
+| [Meta-Llama-3-8B-Q2_K.gguf](https://huggingface.co/tensorblock/Meta-Llama-3-8B-GGUF/blob/main/Meta-Llama-3-8B-Q2_K.gguf) | Q2_K | 3.179 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Meta-Llama-3-8B-Q3_K_S.gguf](https://huggingface.co/tensorblock/Meta-Llama-3-8B-GGUF/blob/main/Meta-Llama-3-8B-Q3_K_S.gguf) | Q3_K_S | 3.664 GB | very small, high quality loss |
+| [Meta-Llama-3-8B-Q3_K_M.gguf](https://huggingface.co/tensorblock/Meta-Llama-3-8B-GGUF/blob/main/Meta-Llama-3-8B-Q3_K_M.gguf) | Q3_K_M | 4.019 GB | very small, high quality loss |
+| [Meta-Llama-3-8B-Q3_K_L.gguf](https://huggingface.co/tensorblock/Meta-Llama-3-8B-GGUF/blob/main/Meta-Llama-3-8B-Q3_K_L.gguf) | Q3_K_L | 4.322 GB | small, substantial quality loss |
+| [Meta-Llama-3-8B-Q4_0.gguf](https://huggingface.co/tensorblock/Meta-Llama-3-8B-GGUF/blob/main/Meta-Llama-3-8B-Q4_0.gguf) | Q4_0 | 4.661 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Meta-Llama-3-8B-Q4_K_S.gguf](https://huggingface.co/tensorblock/Meta-Llama-3-8B-GGUF/blob/main/Meta-Llama-3-8B-Q4_K_S.gguf) | Q4_K_S | 4.693 GB | small, greater quality loss |
+| [Meta-Llama-3-8B-Q4_K_M.gguf](https://huggingface.co/tensorblock/Meta-Llama-3-8B-GGUF/blob/main/Meta-Llama-3-8B-Q4_K_M.gguf) | Q4_K_M | 4.921 GB | medium, balanced quality - recommended |
+| [Meta-Llama-3-8B-Q5_0.gguf](https://huggingface.co/tensorblock/Meta-Llama-3-8B-GGUF/blob/main/Meta-Llama-3-8B-Q5_0.gguf) | Q5_0 | 5.599 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Meta-Llama-3-8B-Q5_K_S.gguf](https://huggingface.co/tensorblock/Meta-Llama-3-8B-GGUF/blob/main/Meta-Llama-3-8B-Q5_K_S.gguf) | Q5_K_S | 5.599 GB | large, low quality loss - recommended |
+| [Meta-Llama-3-8B-Q5_K_M.gguf](https://huggingface.co/tensorblock/Meta-Llama-3-8B-GGUF/blob/main/Meta-Llama-3-8B-Q5_K_M.gguf) | Q5_K_M | 5.733 GB | large, very low quality loss - recommended |
+| [Meta-Llama-3-8B-Q6_K.gguf](https://huggingface.co/tensorblock/Meta-Llama-3-8B-GGUF/blob/main/Meta-Llama-3-8B-Q6_K.gguf) | Q6_K | 6.596 GB | very large, extremely low quality loss |
+| [Meta-Llama-3-8B-Q8_0.gguf](https://huggingface.co/tensorblock/Meta-Llama-3-8B-GGUF/blob/main/Meta-Llama-3-8B-Q8_0.gguf) | Q8_0 | 8.541 GB | very large, extremely low quality loss - not recommended |
 
 
 ## Downloading instruction