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---
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license: llama3.3
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model_name: Llama-3.3-70B-Instruct
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base_model: meta-llama/Llama-3.3-70B-Instruct
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model_creator: meta-llama
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pipeline_tag: text-generation
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quantized_by: Second State Inc.
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library_name: transformers
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language:
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- en
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- fr
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- it
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- pt
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- hi
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- es
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- th
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- de
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tags:
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- facebook
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- meta
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- pytorch
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- llama
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- llama-3
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---
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<!-- header start -->
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<!-- 200823 -->
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<div style="width: auto; margin-left: auto; margin-right: auto">
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<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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</div>
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<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
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<!-- header end -->
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# Llama-3.3-70B-Instruct-GGUF
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## Original Model
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[meta-llama/Llama-3.3-70B-Instruct](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct)
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## Run with LlamaEdge
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- LlamaEdge version: [v0.14.17](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.14.17) and above
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- Prompt template
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- Prompt type: `llama-3-chat`
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- Prompt string
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```text
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<|begin_of_text|><|start_header_id|>system<|end_header_id|>
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{{ system_prompt }}<|eot_id|><|start_header_id|>user<|end_header_id|>
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{{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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{{ model_answer_1 }}<|eot_id|><|start_header_id|>user<|end_header_id|>
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{{ user_message_2 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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```
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- Context size: `128000`
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- Run as LlamaEdge service
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```bash
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wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-3.3-70B-Instruct-Q5_K_M.gguf \
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llama-api-server.wasm \
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--prompt-template llama-3-chat \
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--ctx-size 128000 \
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--model-name Llama-3-70b
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```
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- Run as LlamaEdge command app
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```bash
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wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-3.3-70B-Instruct-Q5_K_M.gguf \
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llama-chat.wasm \
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--prompt-template llama-3-chat \
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--ctx-size 128000
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```
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## Quantized GGUF Models
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| Name | Quant method | Bits | Size | Use case |
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| ---- | ---- | ---- | ---- | ----- |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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| |
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| [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| |
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| [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| |
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| [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| |
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| [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| |
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*Quantized with llama.cpp b4273.* |
