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---
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license: other
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license_name: mrl
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license_link: https://mistral.ai/licenses/MRL-0.1.md
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model_name: Mistral-Large-Instruct-2407
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base_model: mistralai/Mistral-Large-Instruct-2407
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model_creator: mistralai
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quantized_by: Second State Inc.
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language:
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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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# Mistral-Large-Instruct-2407-GGUF
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## Original Model
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[mistralai/Mistral-Large-Instruct-2407](https://huggingface.co/mistralai/Mistral-Large-Instruct-2407)
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## Run with LlamaEdge
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- LlamaEdge version:
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```
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--
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| [Mistral-Large-Instruct-2407-
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*Quantized with llama.cpp b3499.*
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---
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license: other
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license_name: mrl
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license_link: https://mistral.ai/licenses/MRL-0.1.md
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model_name: Mistral-Large-Instruct-2407
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base_model: mistralai/Mistral-Large-Instruct-2407
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model_creator: mistralai
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quantized_by: Second State Inc.
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language:
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- en
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- fr
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- de
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- es
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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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# Mistral-Large-Instruct-2407-GGUF
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## Original Model
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[mistralai/Mistral-Large-Instruct-2407](https://huggingface.co/mistralai/Mistral-Large-Instruct-2407)
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## Run with LlamaEdge
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- LlamaEdge version: [v0.13.0](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.13.0)
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- Prompt template
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- Prompt type: `mistral-instruct`
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- Prompt string
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```text
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<s>[INST] {user_message_1} [/INST]{assistant_message_1}</s>[INST] {user_message_2} [/INST]{assistant_message_2}</s>
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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:Mistral-Large-Instruct-2407-Q5_K_M.gguf \
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llama-api-server.wasm \
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--prompt-template mistral-instruct \
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--ctx-size 128000 \
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--model-name Mistral-Large-Instruct-2407
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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:Mistral-Large-Instruct-2407-Q5_K_M.gguf \
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llama-chat.wasm \
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--prompt-template mistral-instruct \
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--ctx-size 32000
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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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| [Mistral-Large-Instruct-2407-Q2_K.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q2_K.gguf) | Q2_K | 2 | 45.2 GB| smallest, significant quality loss - not recommended for most purposes |
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| [Mistral-Large-Instruct-2407-Q3_K_L-00001-of-00003.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q3_K_L-00001-of-00003.gguf) | Q3_K_L | 3 | 29.9 GB| small, substantial quality loss |
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| [Mistral-Large-Instruct-2407-Q3_K_L-00002-of-00003.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q3_K_L-00002-of-00003.gguf) | Q3_K_L | 3 | 29.9 GB| small, substantial quality loss |
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| [Mistral-Large-Instruct-2407-Q3_K_L-00003-of-00003.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q3_K_L-00003-of-00003.gguf) | Q3_K_L | 3 | 4.70 GB| small, substantial quality loss |
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| [Mistral-Large-Instruct-2407-Q3_K_M-00001-of-00002.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q3_K_M-00001-of-00002.gguf) | Q3_K_M | 3 | 29.9 GB| very small, high quality loss |
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| [Mistral-Large-Instruct-2407-Q3_K_M-00002-of-00002.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q3_K_M-00002-of-00002.gguf) | Q3_K_M | 3 | 29.2 GB| very small, high quality loss |
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| [Mistral-Large-Instruct-2407-Q3_K_S-00001-of-00002.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q3_K_S-00001-of-00002.gguf) | Q3_K_S | 3 | 29.9 GB| very small, high quality loss |
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| [Mistral-Large-Instruct-2407-Q3_K_S-00002-of-00002.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q3_K_S-00002-of-00002.gguf) | Q3_K_S | 3 | 29.2 GB| very small, high quality loss |
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| [Mistral-Large-Instruct-2407-Q4_0-00001-of-00003.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q4_0-00001-of-00003.gguf) | Q4_0 | 4 | 30.0 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
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| [Mistral-Large-Instruct-2407-Q4_0-00002-of-00003.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q4_0-00002-of-00003.gguf) | Q4_0 | 4 | 30.0 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
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| [Mistral-Large-Instruct-2407-Q4_0-00003-of-00003.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q4_0-00003-of-00003.gguf) | Q4_0 | 4 | 9.09 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
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| [Mistral-Large-Instruct-2407-Q4_K_M-00001-of-00003.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q4_K_M-00001-of-00003.gguf) | Q4_K_M | 4 | 30.0 GB| medium, balanced quality - recommended |
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| [Mistral-Large-Instruct-2407-Q4_K_M-00002-of-00003.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q4_K_M-00002-of-00003.gguf) | Q4_K_M | 4 | 29.9 GB| medium, balanced quality - recommended |
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| [Mistral-Large-Instruct-2407-Q4_K_M-00003-of-00003.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q4_K_M-00003-of-00003.gguf) | Q4_K_M | 4 | 13.3 GB| medium, balanced quality - recommended |
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| [Mistral-Large-Instruct-2407-Q4_K_S-00001-of-00003.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q4_K_S-00001-of-00003.gguf) | Q4_K_S | 4 | 29.9 GB| small, greater quality loss |
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| [Mistral-Large-Instruct-2407-Q4_K_S-00002-of-00003.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q4_K_S-00002-of-00003.gguf) | Q4_K_S | 4 | 30.0 GB| small, greater quality loss |
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| [Mistral-Large-Instruct-2407-Q4_K_S-00003-of-00003.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q4_K_S-00003-of-00003.gguf) | Q4_K_S | 4 | 9.67 GB| small, greater quality loss |
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| [Mistral-Large-Instruct-2407-Q5_0-00001-of-00003.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q5_0-00001-of-00003.gguf) | Q5_0 | 5 | 30.0 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
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| [Mistral-Large-Instruct-2407-Q5_0-00002-of-00003.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q5_0-00002-of-00003.gguf) | Q5_0 | 5 | 30.0 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
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| [Mistral-Large-Instruct-2407-Q5_0-00003-of-00003.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q5_0-00003-of-00003.gguf) | Q5_0 | 5 | 24.4 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
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| [Mistral-Large-Instruct-2407-Q5_K_M-00001-of-00003.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q5_K_M-00001-of-00003.gguf) | Q5_K_M | 5 | 29.9 GB| large, very low quality loss - recommended |
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| [Mistral-Large-Instruct-2407-Q5_K_M-00002-of-00003.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q5_K_M-00002-of-00003.gguf) | Q5_K_M | 5 | 29.7 GB| large, very low quality loss - recommended |
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| [Mistral-Large-Instruct-2407-Q5_K_M-00003-of-00003.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q5_K_M-00003-of-00003.gguf) | Q5_K_M | 5 | 26.8 GB| large, very low quality loss - recommended |
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| [Mistral-Large-Instruct-2407-Q5_K_S-00001-of-00003.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q5_K_S-00001-of-00003.gguf) | Q5_K_S | 5 | 30.0 GB| large, low quality loss - recommended |
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| [Mistral-Large-Instruct-2407-Q5_K_S-00002-of-00003.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q5_K_S-00002-of-00003.gguf) | Q5_K_S | 5 | 30.0 GB| large, low quality loss - recommended |
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| [Mistral-Large-Instruct-2407-Q5_K_S-00003-of-00003.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q5_K_S-00003-of-00003.gguf) | Q5_K_S | 5 | 24.4 GB| large, low quality loss - recommended |
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| [Mistral-Large-Instruct-2407-Q6_K-00001-of-00004.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q6_K-00001-of-00004.gguf) | Q6_K | 6 | 29.9 GB| very large, extremely low quality loss |
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| [Mistral-Large-Instruct-2407-Q6_K-00002-of-00004.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q6_K-00002-of-00004.gguf) | Q6_K | 6 | 29.8 GB| very large, extremely low quality loss |
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| [Mistral-Large-Instruct-2407-Q6_K-00003-of-00004.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q6_K-00003-of-00004.gguf) | Q6_K | 6 | 29.8 GB| very large, extremely low quality loss |
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| [Mistral-Large-Instruct-2407-Q6_K-00004-of-00004.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q6_K-00004-of-00004.gguf) | Q6_K | 6 | 11.1 GB| very large, extremely low quality loss |
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| [Mistral-Large-Instruct-2407-Q8_0-00001-of-00005.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q8_0-00001-of-00005.gguf) | Q8_0 | 8 | 29.8 GB| very large, extremely low quality loss - not recommended |
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| 106 |
+
| [Mistral-Large-Instruct-2407-Q8_0-00002-of-00005.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q8_0-00002-of-00005.gguf) | Q8_0 | 8 | 29.8 GB| very large, extremely low quality loss - not recommended |
|
| 107 |
+
| [Mistral-Large-Instruct-2407-Q8_0-00003-of-00005.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q8_0-00003-of-00005.gguf) | Q8_0 | 8 | 29.8 GB| very large, extremely low quality loss - not recommended |
|
| 108 |
+
| [Mistral-Large-Instruct-2407-Q8_0-00004-of-00005.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q8_0-00004-of-00005.gguf) | Q8_0 | 8 | 29.8 GB| very large, extremely low quality loss - not recommended |
|
| 109 |
+
| [Mistral-Large-Instruct-2407-Q8_0-00005-of-00005.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-Q8_0-00005-of-00005.gguf) | Q8_0 | 8 | 11.1 GB| very large, extremely low quality loss - not recommended |
|
| 110 |
+
| [Mistral-Large-Instruct-2407-f16-00001-of-00009.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-f16-00001-of-00009.gguf) | f16 | 16 | 29.8 GB| |
|
| 111 |
+
| [Mistral-Large-Instruct-2407-f16-00002-of-00009.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-f16-00002-of-00009.gguf) | f16 | 16 | 29.8 GB| |
|
| 112 |
+
| [Mistral-Large-Instruct-2407-f16-00003-of-00009.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-f16-00003-of-00009.gguf) | f16 | 16 | 29.7 GB| |
|
| 113 |
+
| [Mistral-Large-Instruct-2407-f16-00004-of-00009.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-f16-00004-of-00009.gguf) | f16 | 16 | 29.8 GB| |
|
| 114 |
+
| [Mistral-Large-Instruct-2407-f16-00005-of-00009.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-f16-00005-of-00009.gguf) | f16 | 16 | 29.7 GB| |
|
| 115 |
+
| [Mistral-Large-Instruct-2407-f16-00006-of-00009.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-f16-00006-of-00009.gguf) | f16 | 16 | 29.8 GB| |
|
| 116 |
+
| [Mistral-Large-Instruct-2407-f16-00007-of-00009.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-f16-00007-of-00009.gguf) | f16 | 16 | 29.7 GB| |
|
| 117 |
+
| [Mistral-Large-Instruct-2407-f16-00008-of-00009.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-f16-00008-of-00009.gguf) | f16 | 16 | 29.7 GB| |
|
| 118 |
+
| [Mistral-Large-Instruct-2407-f16-00009-of-00009.gguf](https://huggingface.co/second-state/Mistral-Large-Instruct-2407-GGUF/blob/main/Mistral-Large-Instruct-2407-f16-00009-of-00009.gguf) | f16 | 16 | 7.05 GB| |
|
| 119 |
+
|
| 120 |
+
*Quantized with llama.cpp b3499.*
|
|
|
|
|
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