second-state
/

Meta-Llama-3.1-8B-Instruct-GGUF

@@ -1,103 +1,103 @@
----
-license: llama3.1
-model_name: Meta-Llama-3.1-8B-Instruct-GGUF
-arxiv: 2307.09288
-base_model: meta-llama/Meta-Llama-3.1-8B-Instruct-GGUF
-inference: false
-model_creator: Meta Llama3
-model_type: llama
-pipeline_tag: text-generation
-quantized_by: Second State Inc.
-language:
-- en
-- de
-- fr
-- it
-- pt
-- hi
-- es
-- th
-tags:
-- facebook
-- meta
-- pytorch
-- llama
-- llama-3
----
-<!-- header start -->
-<!-- 200823 -->
-<div style="width: auto; margin-left: auto; margin-right: auto">
-<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
-</div>
-<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
-<!-- header end -->
-# Meta-Llama-3.1-8B-Instruct-GGUF
-## Original Model
-[meta-llama/Meta-Llama-3.1-8B-Instruct-GGUF](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct-GGUF)
-## Run with LlamaEdge
-- LlamaEdge version: [v0.12.4](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.12.4) and above
-- Prompt template
-  - Prompt type: `llama-3-chat`
-  - Prompt string
-    ```text
-    <|begin_of_text|><|start_header_id|>system<|end_header_id|>
-    {{ system_prompt }}<|eot_id|><|start_header_id|>user<|end_header_id|>
-    {{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
-    {{ model_answer_1 }}<|eot_id|><|start_header_id|>user<|end_header_id|>
-    {{ user_message_2 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
-    ```
-- Context size: `128000`
-- Run as LlamaEdge service
-  ```bash
-  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Meta-Llama-3.1-8B-Instruct-GGUF-Q5_K_M.gguf \
-    llama-api-server.wasm \
-    --prompt-template llama-3-chat \
-    --ctx-size 128000 \
-    --model-name Llama-3.1-8b
-  ```
-- Run as LlamaEdge command app
-  ```bash
-  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Meta-Llama-3.1-8B-Instruct-GGUF-Q5_K_M.gguf \
-    llama-chat.wasm \
-    --prompt-template llama-3-chat \
-    --ctx-size 128000 \
-  ```
-## Quantized GGUF Models
-| Name | Quant method | Bits | Size | Use case |
-| ---- | ---- | ---- | ---- | ----- |
-| [Meta-Llama-3.1-8B-Instruct-Q2_K.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-Q2_K.gguf)     | Q2_K   | 2 | 3.18 GB| smallest, significant quality loss - not recommended for most purposes |
-| [Meta-Llama-3.1-8B-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 4.32 GB| small, substantial quality loss |
-| [Meta-Llama-3.1-8B-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 4.02 GB| very small, high quality loss |
-| [Meta-Llama-3.1-8B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 3.66 GB| very small, high quality loss |
-| [Meta-Llama-3.1-8B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-Q4_0.gguf)     | Q4_0   | 4 | 4.66 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
-| [Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 4.92 GB| medium, balanced quality - recommended |
-| [Meta-Llama-3.1-8B-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 4.69 GB| small, greater quality loss |
-| [Meta-Llama-3.1-8B-Instruct-Q5_0.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-Q5_0.gguf)     | Q5_0   | 5 | 5.6 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
-| [Meta-Llama-3.1-8B-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 5.73 GB| large, very low quality loss - recommended |
-| [Meta-Llama-3.1-8B-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 5.6 GB| large, low quality loss - recommended |
-| [Meta-Llama-3.1-8B-Instruct-Q6_K.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-Q6_K.gguf)     | Q6_K   | 6 | 6.6 GB| very large, extremely low quality loss |
-| [Meta-Llama-3.1-8B-Instruct-Q8_0.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-Q8_0.gguf)     | Q8_0   | 8 | 8.54 GB| very large, extremely low quality loss - not recommended |
-| [Meta-Llama-3.1-8B-Instruct-f16.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-f16.gguf)       | f16    | 16 | 16.1 GB|  |
-*Quantized with llama.cpp b3445.*

+---
+license: llama3.1
+model_name: Meta-Llama-3.1-8B-Instruct-GGUF
+arxiv: 2307.09288
+base_model: meta-llama/Meta-Llama-3.1-8B-Instruct-GGUF
+inference: false
+model_creator: Meta Llama3
+model_type: llama
+pipeline_tag: text-generation
+quantized_by: Second State Inc.
+language:
+- en
+- de
+- fr
+- it
+- pt
+- hi
+- es
+- th
+tags:
+- facebook
+- meta
+- pytorch
+- llama
+- llama-3
+---
+<!-- header start -->
+<!-- 200823 -->
+<div style="width: auto; margin-left: auto; margin-right: auto">
+<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
+</div>
+<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
+<!-- header end -->
+# Meta-Llama-3.1-8B-Instruct-GGUF
+## Original Model
+[meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct)
+## Run with LlamaEdge
+- LlamaEdge version: [v0.12.4](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.12.4) and above
+- Prompt template
+  - Prompt type: `llama-3-chat`
+  - Prompt string
+    ```text
+    <|begin_of_text|><|start_header_id|>system<|end_header_id|>
+    {{ system_prompt }}<|eot_id|><|start_header_id|>user<|end_header_id|>
+    {{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+    {{ model_answer_1 }}<|eot_id|><|start_header_id|>user<|end_header_id|>
+    {{ user_message_2 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+    ```
+- Context size: `128000`
+- Run as LlamaEdge service
+  ```bash
+  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Meta-Llama-3.1-8B-Instruct-GGUF-Q5_K_M.gguf \
+    llama-api-server.wasm \
+    --prompt-template llama-3-chat \
+    --ctx-size 128000 \
+    --model-name Llama-3.1-8b
+  ```
+- Run as LlamaEdge command app
+  ```bash
+  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Meta-Llama-3.1-8B-Instruct-GGUF-Q5_K_M.gguf \
+    llama-chat.wasm \
+    --prompt-template llama-3-chat \
+    --ctx-size 128000 \
+  ```
+## Quantized GGUF Models
+| Name | Quant method | Bits | Size | Use case |
+| ---- | ---- | ---- | ---- | ----- |
+| [Meta-Llama-3.1-8B-Instruct-Q2_K.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-Q2_K.gguf)     | Q2_K   | 2 | 3.18 GB| smallest, significant quality loss - not recommended for most purposes |
+| [Meta-Llama-3.1-8B-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 4.32 GB| small, substantial quality loss |
+| [Meta-Llama-3.1-8B-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 4.02 GB| very small, high quality loss |
+| [Meta-Llama-3.1-8B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 3.66 GB| very small, high quality loss |
+| [Meta-Llama-3.1-8B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-Q4_0.gguf)     | Q4_0   | 4 | 4.66 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 4.92 GB| medium, balanced quality - recommended |
+| [Meta-Llama-3.1-8B-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 4.69 GB| small, greater quality loss |
+| [Meta-Llama-3.1-8B-Instruct-Q5_0.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-Q5_0.gguf)     | Q5_0   | 5 | 5.6 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Meta-Llama-3.1-8B-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 5.73 GB| large, very low quality loss - recommended |
+| [Meta-Llama-3.1-8B-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 5.6 GB| large, low quality loss - recommended |
+| [Meta-Llama-3.1-8B-Instruct-Q6_K.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-Q6_K.gguf)     | Q6_K   | 6 | 6.6 GB| very large, extremely low quality loss |
+| [Meta-Llama-3.1-8B-Instruct-Q8_0.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-Q8_0.gguf)     | Q8_0   | 8 | 8.54 GB| very large, extremely low quality loss - not recommended |
+| [Meta-Llama-3.1-8B-Instruct-f16.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-f16.gguf)       | f16    | 16 | 16.1 GB|  |
+*Quantized with llama.cpp b3445.*