second-state
/

Llama-3.3-70B-Instruct-GGUF

@@ -1,108 +1,108 @@
----
-license: llama3.3
-model_name: Llama-3.3-70B-Instruct
-base_model: meta-llama/Llama-3.3-70B-Instruct
-model_creator: meta-llama
-pipeline_tag: text-generation
-quantized_by: Second State Inc.
-library_name: transformers
-language:
-- en
-- fr
-- it
-- pt
-- hi
-- es
-- th
-- de
-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 -->
-# Llama-3.3-70B-Instruct-GGUF
-## Original Model
-[meta-llama/Llama-3.3-70B-Instruct](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct)
-## Run with LlamaEdge
-- LlamaEdge version: [v0.14.17](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.14.17) 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:Llama-3.3-70B-Instruct-Q5_K_M.gguf \
-    llama-api-server.wasm \
-    --prompt-template llama-3-chat \
-    --ctx-size 128000 \
-    --model-name Llama-3-70b
-  ```
-- Run as LlamaEdge command app
-  ```bash
-  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-3.3-70B-Instruct-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 |
-| ---- | ---- | ---- | ---- | ----- |
-| [Llama-3.3-70B-Instruct-Q2_K.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q2_K.gguf)     | Q2_K   | 2 | 26.4 GB| smallest, significant quality loss - not recommended for most purposes |
-| [Llama-3.3-70B-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 37.1 GB| small, substantial quality loss |
-| [Llama-3.3-70B-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 34.3 GB| very small, high quality loss |
-| [Llama-3.3-70B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 30.9 GB| very small, high quality loss |
-| [Llama-3.3-70B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q4_0.gguf)     | Q4_0   | 4 | 40.0 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
-| [Llama-3.3-70B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 42.5 GB| medium, balanced quality - recommended |
-| [Llama-3.3-70B-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 40.3 GB| small, greater quality loss |
-| [Llama-3.3-70B-Instruct-Q5_0.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q5_0.gguf)     | Q5_0   | 5 | 48.7 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
-| [Llama-3.3-70B-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 49.9 GB| large, very low quality loss - recommended |
-| [Llama-3.3-70B-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 48.7 GB| large, low quality loss - recommended |
-| [Llama-3.3-70B-Instruct-Q6_K-00001-of-00002.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q6_K-00001-of-00002.gguf)     | Q6_K   | 6 | 29.9 GB| very large, extremely low quality loss |
-| [Llama-3.3-70B-Instruct-Q6_K-00002-of-00002.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q6_K-00002-of-00002.gguf)     | Q6_K   | 6 | 28.0 GB| very large, extremely low quality loss |
-| [Llama-3.3-70B-Instruct-Q8_0-00001-of-00003.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q8_0-00001-of-00003.gguf)     | Q8_0   | 8 | 29.9 GB| very large, extremely low quality loss - not recommended |
-| [Llama-3.3-70B-Instruct-Q8_0-00002-of-00003.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q8_0-00002-of-00003.gguf)     | Q8_0   | 8 | 29.8 GB| very large, extremely low quality loss - not recommended |
-| [Llama-3.3-70B-Instruct-Q8_0-00003-of-00003.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q8_0-00003-of-00003.gguf)     | Q8_0   | 8 | 15.3 GB| very large, extremely low quality loss - not recommended |
-| [Llama-3.3-70B-Instruct-f16-00001-of-00005.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-f16-00001-of-00005.gguf)     | f16   | 16 | 30.0 GB|  |
-| [Llama-3.3-70B-Instruct-f16-00002-of-00005.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-f16-00002-of-00005.gguf)     | f16   | 16 | 29.6 GB|  |
-| [Llama-3.3-70B-Instruct-f16-00003-of-00005.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-f16-00003-of-00005.gguf)     | f16   | 16 | 29.9 GB|  |
-| [Llama-3.3-70B-Instruct-f16-00004-of-00005.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-f16-00004-of-00005.gguf)     | f16   | 16 | 29.6 GB|  |
-| [Llama-3.3-70B-Instruct-f16-00005-of-00005.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-f16-00005-of-00005.gguf)     | f16   | 16 | 22.2 GB|  |
-*Quantized with llama.cpp b4273.*

+---
+license: llama3.3
+model_name: Llama-3.3-70B-Instruct
+base_model: meta-llama/Llama-3.3-70B-Instruct
+model_creator: meta-llama
+pipeline_tag: text-generation
+quantized_by: Second State Inc.
+library_name: transformers
+language:
+- en
+- fr
+- it
+- pt
+- hi
+- es
+- th
+- de
+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 -->
+# Llama-3.3-70B-Instruct-GGUF
+## Original Model
+[meta-llama/Llama-3.3-70B-Instruct](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct)
+## Run with LlamaEdge
+- LlamaEdge version: [v0.14.17](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.14.17) 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:Llama-3.3-70B-Instruct-Q5_K_M.gguf \
+    llama-api-server.wasm \
+    --prompt-template llama-3-chat \
+    --ctx-size 128000 \
+    --model-name Llama-3-70b
+  ```
+- Run as LlamaEdge command app
+  ```bash
+  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-3.3-70B-Instruct-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 |
+| ---- | ---- | ---- | ---- | ----- |
+| [Llama-3.3-70B-Instruct-Q2_K.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q2_K.gguf)     | Q2_K   | 2 | 26.4 GB| smallest, significant quality loss - not recommended for most purposes |
+| [Llama-3.3-70B-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 37.1 GB| small, substantial quality loss |
+| [Llama-3.3-70B-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 34.3 GB| very small, high quality loss |
+| [Llama-3.3-70B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 30.9 GB| very small, high quality loss |
+| [Llama-3.3-70B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q4_0.gguf)     | Q4_0   | 4 | 40.0 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Llama-3.3-70B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 42.5 GB| medium, balanced quality - recommended |
+| [Llama-3.3-70B-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 40.3 GB| small, greater quality loss |
+| [Llama-3.3-70B-Instruct-Q5_0.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q5_0.gguf)     | Q5_0   | 5 | 48.7 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Llama-3.3-70B-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 49.9 GB| large, very low quality loss - recommended |
+| [Llama-3.3-70B-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 48.7 GB| large, low quality loss - recommended |
+| [Llama-3.3-70B-Instruct-Q6_K-00001-of-00002.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q6_K-00001-of-00002.gguf)     | Q6_K   | 6 | 29.9 GB| very large, extremely low quality loss |
+| [Llama-3.3-70B-Instruct-Q6_K-00002-of-00002.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q6_K-00002-of-00002.gguf)     | Q6_K   | 6 | 28.0 GB| very large, extremely low quality loss |
+| [Llama-3.3-70B-Instruct-Q8_0-00001-of-00003.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q8_0-00001-of-00003.gguf)     | Q8_0   | 8 | 29.9 GB| very large, extremely low quality loss - not recommended |
+| [Llama-3.3-70B-Instruct-Q8_0-00002-of-00003.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q8_0-00002-of-00003.gguf)     | Q8_0   | 8 | 29.8 GB| very large, extremely low quality loss - not recommended |
+| [Llama-3.3-70B-Instruct-Q8_0-00003-of-00003.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q8_0-00003-of-00003.gguf)     | Q8_0   | 8 | 15.3 GB| very large, extremely low quality loss - not recommended |
+| [Llama-3.3-70B-Instruct-f16-00001-of-00005.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-f16-00001-of-00005.gguf)     | f16   | 16 | 30.0 GB|  |
+| [Llama-3.3-70B-Instruct-f16-00002-of-00005.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-f16-00002-of-00005.gguf)     | f16   | 16 | 29.6 GB|  |
+| [Llama-3.3-70B-Instruct-f16-00003-of-00005.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-f16-00003-of-00005.gguf)     | f16   | 16 | 29.9 GB|  |
+| [Llama-3.3-70B-Instruct-f16-00004-of-00005.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-f16-00004-of-00005.gguf)     | f16   | 16 | 29.6 GB|  |
+| [Llama-3.3-70B-Instruct-f16-00005-of-00005.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-f16-00005-of-00005.gguf)     | f16   | 16 | 22.2 GB|  |
+*Quantized with llama.cpp b4466.*