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---
license: apache-2.0
model_name: Mistral-Nemo-Instruct-2407
base_model: mistralai/Mistral-Nemo-Instruct-2407
inference: false
model_creator: mistralai
quantized_by: Second State Inc.
language:
- en
- fr
- de
- es
- it
- pt
- ru
- zh
- ja
---
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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;">
</div>
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# Mistral-Nemo-Instruct-2407-GGUF
## Original Model
[mistralai/Mistral-Nemo-Instruct-2407](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407)
## Run with LlamaEdge
- LlamaEdge version: [v0.12.4](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.12.4)
- Prompt template
- Prompt type: `mistral-instruct`
- Prompt string
```text
<s>[INST] {user_message_1} [/INST]{assistant_message_1}</s>[INST] {user_message_2} [/INST]{assistant_message_2}</s>
```
- Context size: `128000`
- Run as LlamaEdge service
```bash
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Mistral-Nemo-Instruct-2407-Q5_K_M.gguf \
llama-api-server.wasm \
--prompt-template mistral-instruct \
--ctx-size 128000 \
--model-name Mistral-Nemo-Instruct-2407
```
- Run as LlamaEdge command app
```bash
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Mistral-Nemo-Instruct-2407-Q5_K_M.gguf \
llama-chat.wasm \
--prompt-template mistral-instruct \
--ctx-size 128000
```
## Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [Mistral-Nemo-Instruct-2407-Q2_K.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q2_K.gguf) | Q2_K | 2 | 4.79 GB| smallest, significant quality loss - not recommended for most purposes |
| [Mistral-Nemo-Instruct-2407-Q3_K_L.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q3_K_L.gguf) | Q3_K_L | 3 | 6.56 GB| small, substantial quality loss |
| [Mistral-Nemo-Instruct-2407-Q3_K_M.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q3_K_M.gguf) | Q3_K_M | 3 | 6.08 GB| very small, high quality loss |
| [Mistral-Nemo-Instruct-2407-Q3_K_S.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q3_K_S.gguf) | Q3_K_S | 3 | 5.53 GB| very small, high quality loss |
| [Mistral-Nemo-Instruct-2407-Q4_0.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q4_0.gguf) | Q4_0 | 4 | 7.07 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [Mistral-Nemo-Instruct-2407-Q4_K_M.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q4_K_M.gguf) | Q4_K_M | 4 | 7.48 GB| medium, balanced quality - recommended |
| [Mistral-Nemo-Instruct-2407-Q4_K_S.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q4_K_S.gguf) | Q4_K_S | 4 | 7.12 GB| small, greater quality loss |
| [Mistral-Nemo-Instruct-2407-Q5_0.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q5_0.gguf) | Q5_0 | 5 | 8.52 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [Mistral-Nemo-Instruct-2407-Q5_K_M.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/resolve/main/Mistral-Nemo-Instruct-2407-Q5_K_M.gguf) | Q5_K_M | 5 | 8.73 GB| large, very low quality loss - recommended |
| [Mistral-Nemo-Instruct-2407-Q5_K_S.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q5_K_S.gguf) | Q5_K_S | 5 | 8.52 GB| large, low quality loss - recommended |
| [Mistral-Nemo-Instruct-2407-Q6_K.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q6_K.gguf) | Q6_K | 6 | 10.1 GB| very large, extremely low quality loss |
| [Mistral-Nemo-Instruct-2407-Q8_0.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q8_0.gguf) | Q8_0 | 8 | 13.0 GB| very large, extremely low quality loss - not recommended |
| [Mistral-Nemo-Instruct-2407-f16.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-f16.gguf) | f16 | 16 | 24.5 GB| |
*Quantized with llama.cpp b3438.* |